Skip to main content

ORIGINAL RESEARCH article

Front. Public Health, 07 January 2025
Sec. Public Health Education and Promotion
This article is part of the Research Topic Innovative Teaching and Learning in Health Education and Promotion View all 12 articles

Assessing the effectiveness of targeted educational interventions on enhancing self-efficacy and foot care practices among diabetic women in Jordan

  • 1Department of Health Care Management, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates
  • 2Department of Health Management and Policy, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan
  • 3Department of Electrical, Computer, and Biomedical Engineering, College of Engineering Abu Dhabi University, Abu Dhabi, United Arab Emirates
  • 4Department of Biomedical Engineering, Faculty of Engineering, Jordan University of Science and Technology, Irbid, Jordan
  • 5Nursing Department, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates
  • 6Department of Maternal and Child Health, Faculty of Nursing, Jordan University of Science and Technology, Irbid, Jordan
  • 7Department of Physiotherapy, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates
  • 8Rehabilitation Sciences Department, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, Irbid, Jordan
  • 9Department of Internal Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan
  • 10Critical Care and Emergency Nursing Department, Faculty of Nursing, Alexandria University, Alexandria, Egypt
  • 11Department of Clinical Nutrition, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates

Background: Diabetic foot is a major public health issue, leading to increased morbidity and mortality among diabetic patients. This study aimed to evaluate the effectiveness of targeted health education interventions on self-efficacy and foot care practices among diabetic women in Jordan.

Methods: A pretest-posttest, quasi-experimental design was used to collect data from 76 diabetic women at a tertiary hospital in northern Jordan. Participants were assigned to three groups: a control group receiving standard care; Intervention Group 1, receiving standard care with weekly text reminders and follow-up calls; and Intervention Group 2, receiving the same components as Intervention Group 1, plus small group education sessions and hands-on foot care training. Generalized Estimating Equations models were used to assess the impact of the interventions on foot care practices and self-efficacy over an 8-week period.

Results: The findings revealed that participants in Intervention Group 2 demonstrated the most significant improvements in both foot care practices and self-efficacy. For foot care practices, Intervention Group 2 had adjusted odds ratios (aORs) of 2.5 (95% CI: 1.3–5.1) and 1.7 (95% CI: 1.2–2.9) when compared to the control group and Intervention Group 1, respectively. Similarly, for self-efficacy, the aORs for Intervention Group 2 were 2.7 (95% CI: 1.4–5.2) relative to the control group, and 1.8 (95% CI: 1.1–3.2) compared to Intervention Group 1.

Conclusion: Our study demonstrates that interactive educational approaches—featuring group discussions, real-time problem-solving, immediate feedback, and family support—can empower diabetic women to take a more active role in managing their foot health. Routine clinical care alone is insufficient to promote proactive foot care behaviors, highlighting the need for healthcare providers to incorporate educational materials tailored to the local cultural context into standard care to enhance patient outcomes.

Introduction

Diabetes-related foot disease (DFD) is a complex and debilitating condition often associated with type 2 diabetes mellitus (T2DM), encompassing a spectrum of complications that significantly impact patient health and quality of life (1, 2). DFD is generally characterized by the formation of diabetic foot ulcers (DFUs) or foot infections in individuals with diabetes, often associated with peripheral neuropathy (PN) or peripheral artery disease (PAD) (3). The PN results from nerve damage caused by high blood sugar levels, leading to loss of sensation in the feet (3). However, PAD involves reduced blood flow to the lower limbs due to narrowing or blockages in the arteries, increasing the risk of foot ulcers and infections (4, 5).

Of the worldwide population of 537 million diabetic adults aged 20–79 years, an estimated one-third are at risk of developing DFD (6), with 20 million currently affected by DFD, and up to 2 million requiring amputation annually (5). Eventually, one in two poorly healed cases progresses to infectious DFD, potentially leading to lower extremity amputations (7). Amputation incidence is commonly used as a key indicator of the burden associated with DFD (8, 9), which is a primary cause of hospital admissions among diabetics (10). According to recent systematic reviews and meta-analyses, several studies have revealed that DFU and amputation have been also linked to elevated mortality rates among diabetic patients (6, 11).

Alarmingly, over 75% of adults with diabetes live in low- and middle-income countries, where prevalence is increasing more rapidly than high income countries (12). In Jordan, the burden of diabetes and its associated foot complications is rapidly escalating, where high rates of T2DM have been observed over the past few decades (13). The prevalence of diabetes among men aged ≥25 years has increased from 14.2% in 1994 to 18.3% in 2004, 26.8% in 2009, and 32.4% in 2017 (14). For women, the corresponding prevalence rates were 12.3, 16.9, 18.8, and 18.1%, respectively (14). Additionally, the foot at risk is prevalent in 17.2% of diabetic patients in the country (15), with DFU estimated at 5.3% (16).

Empirical evidence indicates that poorly managed DFD contributes to sensation loss, chronic pain, discomfort, and high healthcare costs due to ongoing treatments and complications (7). Patients may also experience emotional challenges, such as limited mobility, reduced work capacity, and compromised quality of life, which can lead to anxiety, depression, and other mental health issues (1719). However, early detection of foot risk and preventive care can significantly reduce DFD complications (20, 21). The National Institute for Health and Care Excellence (NICE) guidelines recommend regular foot examinations for all adults with diabetes to prevent complications through proper care and timely intervention (22). Despite this, many diabetic individuals, especially women, do not undergo foot examinations in healthcare settings (19, 23). Targeted educational interventions through alternative methods, such as virtual delivery, can improve outreach, participation, and effectiveness for diabetic women by overcoming barriers like geographic limitations, cultural restrictions, and time constraints.

Research highlights gender-specific factors affecting women’s foot health, including hormonal changes, footwear choices, and obesity, which contribute to conditions such as plantar fasciitis, foot deformities, and heel spurs (2, 2429). Women with diabetes are at higher risk of PN, which increases the likelihood of ulcers, infections, and reduced bone density, potentially leading to stress fractures (29, 30). Furthermore, women are more susceptible to varicose veins and venous insufficiency, which can cause swelling, pain, and other symptoms that exacerbate foot problems and reduce mobility (31).

Considering these potential complications, it is crucial to understand the level of foot self-care among diabetic women to guide early supportive strategies and promote effective management. To address this need, our study aimed to investigate the impact of a targeted educational intervention on enhancing self-efficacy and improving foot care behaviors among women with T2DM in northern Jordan.

Study framework

Our study utilized the Health Belief Model (HBM) to guide the development of a framework for an effective educational intervention, emphasizing DFD prevention and the adoption of foot self-care behaviors. The HBM has been widely applied in public health to design and evaluate health education and behavior change interventions structured to address these key components such as perceived susceptibility, severity, benefits, and barriers, as well as cues to action and self-efficacy (3235). The theoretical framework for foot self-care behavior is depicted in Figure 1.

Figure 1
www.frontiersin.org

Figure 1. Framework for evaluating the impact of targeted educational interventions on foot self-care in diabetic women. DFD, Diabetes-related foot disease. Adapted from health belief model by Becker (32).

Aligned with the HBM, our framework suggests that patients will take steps to prevent DFD if they perceive themselves as vulnerable to foot-related risks (perceived susceptibility). Therefore, it is essential to inform patients of their personal risk of developing diabetic foot complications and the criteria that classify them as low, moderate, or high risk. This awareness (cues to action) encourages preventive actions, such as regular foot exams, proper foot care education, and timely reporting of foot issues (7, 36).

Since managing DFD relies heavily on patient involvement, educational interventions should focus on ensuring that patients understand the negative consequences of neglecting diabetic foot care, including risks like foot ulcers, infections, and potential amputations (perceived severity) (37). This awareness underscores the benefits of proactive foot care in reducing healthcare costs, enhancing mobility, increasing independence, and improving overall quality of life (perceived benefits) (17, 18).

Recognizing that many patients face barriers to effective foot care, educational interventions must address the primary obstacles to adopting actionable steps (perceived barriers). These barriers include limited awareness, forgetfulness, lack of motivation, discomfort with foot inspections, competing priorities, and inadequate access to resources (38). Providing comprehensive foot care education that fosters self-efficacy can help patients overcome these challenges, adhere to preventive practices, and enhance their ability to adopt and maintain healthy foot care behaviors (39).

Materials and methods

Study design and setting

Using a pretest-posttest, quasi-experimental design, data was collected from diabetic women who attended Internal Medicine, Endocrinology, and Diabetes clinics at a leading tertiary referral hospital in northern Jordan.

Data collection procedure

A nonprobability convenience sampling method was utilized to recruit study participants who came for follow-up treatment at the identified clinics. Prior to data collection, a nurse at each clinic conducted a screening to determine participant eligibility. The inclusion criteria included adult females diagnosed with T2DM who regularly attended the clinic at the specified hospital, were willing to participate, were reachable by telephone, could read and understand educational materials, and were at low risk of developing DFD. Based on NICE guidelines, a widely accepted categorization of DFD risk in the literature, patients were categorized as low risk if they had no evidence of PN, PAD, foot deformity, impairment, or previous ulcers or amputation (19, 22, 40). By targeting a low-risk sample, the study ensures a homogeneous group for assessing the effectiveness of the targeted educational interventions, providing more time to improve foot care. In contrast, moderate or high-risk patients would require more immediate medical interventions, which limits the preventive impact.

Exclusion criteria included adult diabetic women at moderate risk (such as those with foot deformity, PN, or non-critical limb ischemia) or high risk (such as those with a history of previous ulceration, amputation, or more than two of the following: PN, PAD, or deformity) for developing DFD, according to NICE guidelines. Additionally, individuals with cognitive impairments or mental health conditions affecting their comprehension of educational material were excluded. It is worth mentioning that the categorization of DFD risk was further assessed by resident doctors at the clinics, following established recommendations (41). The evaluation involved examining various skin conditions, including dryness, cracked skin, fungal infections (characterized by itching and scaling), corns and calluses caused by friction, redness from sunburn or irritation, blisters due to ill-fitting shoes, and minor skin lesions.

The recruitment process was initiated by voluntarily inviting eligible patients to participate. Those who agreed were then asked to sign an informed consent form after receiving an explanation of their involvement and the study’s objectives. All participants were alternately assigned to either the control group, Intervention Group 1, or Intervention Group 2. This method ensured a balanced distribution of potential confounding variables across all groups.

To determine the sample size, a power analysis was conducted using G*Power software (42). With an anticipated medium effect size (Cohen’s d = 0.50), a power level of 0.80, and an alpha level of 0.05, the required sample size for a between-group comparison was estimated to be 66 participants. The medium effect size was chosen as it reflects a moderate impact of the intervention, which is a reasonable expectation for most behavioral or educational interventions (43).

In our study, 108 participants successfully completed the baseline assessment, and 76 completed the reassessment phase following the 8-week intervention period. Our final sample of 76 participants exceeds this minimum requirement, providing adequate power to detect meaningful differences between study groups. This sample size also accounts for potential attrition—common in longitudinal studies—where researchers recommend increasing the sample size by 10–20% to ensure sufficient data for analysis (44). Figure 2 provides a detailed breakdown of participation rates throughout the study.

Figure 2
www.frontiersin.org

Figure 2. Outline of the patient flow from baseline to 8-week follow-up.

Study groups

Control group

Patients in the control group received standard care, which included routine check-ups and monitoring of health parameters such as blood glucose levels [e.g., Fasting Blood Glucose (FBG) and glycated hemoglobin (HbA1C)], lipid profiles, and blood pressure. Additionally, they were given a brochure on foot care routines, covering topics such as proper footwear, nail care, and daily foot inspection, as well as a foot care kit containing diabetic socks, a nail clipper, and moisturizing cream.

This design was chosen to reflect the standard care provided in the local clinical setting, ensuring a practical and relevant baseline for comparison with the intervention groups. Although the inclusion of educational brochures and a foot care kit may reduce the contrast with the intervention groups, the objective was to evaluate the additional benefits of the targeted interventions rather than compare them against no care.

Intervention group 1

To reinforce foot care routines over the 8-week period, Intervention Group 1 received the same standard care as the control group, along with additional contact from the research team. At the start of each week, participants received a text message containing reminders for diabetic foot care. The messages included tips on inspecting feet daily for cuts, blisters, or swelling; maintaining proper foot hygiene with mild soap and lukewarm water; wearing clean, dry socks and properly fitting shoes; trimming toenails carefully; and seeking medical attention if signs of infection appear. Each message was followed by a phone call later in the week to ensure participants implemented the tips and to address any questions or concerns.

Intervention group 2

Throughout the study period, participants in Intervention Group 2 received the same care as those in Intervention Group 1, with the addition of targeted foot care educational materials delivered through online meetings accessible via mobile devices. The educational content, guided by the HBM, was developed by various professionals in endocrinology and diabetic care, podiatry, nutrition, nursing, and physical therapy, who also determined the number and duration of the required sessions.

The intervention for this group consisted of eight 60-min virtual sessions held weekly, each covering key aspects of foot care and diabetes management. Session 1 provided an overview of diabetes, foot-related symptoms, common complications like foot ulcers, and preventive measures, including understanding personal risk (perceived susceptibility and severity). Session 2 focused on practical foot care techniques, such as daily inspections, proper footwear selection, and early detection of foot issues (perceived benefits and cues to action). Session 3 discussed the role of nutrition in foot health and blood sugar management (perceived benefits). Session 4 featured instructional videos on foot care routines and hygiene, encouraging participants to practice these skills at home (self-efficacy).

Involving family members was also a key component in the later sessions to enhance support for foot care management. Accordingly, Session 5 focused on practical strategies for involving family in daily foot care routines and recognizing signs of foot complications, while also addressing challenges and reinforcing supportive behaviors (perceived barriers and cues to action). Session 6 expanded on family support by exploring ways to encourage medication adherence, promote a healthy diet beneficial for foot health, and recognize symptoms of hypo- and hyperglycemia that affect foot care (perceived benefits and self-efficacy).

Sessions 7 and 8 addressed broader aspects of foot care. Session 7 tackled the psychological aspects of being at risk for developing DFD (perceived susceptibility and perceived severity), focusing on stress management techniques, coping strategies, and the importance of mental health in foot care management (perceived benefits). Session 8 provided a comprehensive review of all topics covered, reinforcing key messages, and addressing any remaining questions (perceived barriers and cues to action).

Throughout the 8 sessions, interactive Q&A, group discussions, and practical demonstrations via video tutorials were used to ensure participants understood and could effectively apply the content. At the end of each session, the educational content was summarized in digital pamphlets, and key points were reviewed at the start of the following session to reinforce learning and address any concerns or inquiries.

Variables and measurements

Baseline characteristics

Baseline data collected included patients’ sociodemographic variables (age, education, income, residence, occupation, marital status), lifestyle factors (smoking status), anthropometric measurements (height and weight), and self-assessed health status. The hospital’s electronic medical records were accessed to obtain details on diabetes-related health indicators, including recent FBG and HbA1C levels, diabetes duration, and comorbidities such as retinopathy, renal impairment, hypertension, anemia, and limited joint mobility. Healthcare utilization data, including health insurance coverage, hospitalization frequency, and follow-up clinic visits over the past year, were also collected.

Outcome measures

To evaluate the intervention’s effectiveness on changes in foot self-care behavior across the study’s three groups, we assessed participants’ baseline and post-intervention foot care practices using the Diabetic Foot Self-Care Questionnaire (DFSQ) (45). The DFSQ is a 16-item tool measuring personal self-care (items 1–7), podiatric care (items 8–11), and appropriate use of footwear and socks (items 12–16), with each item scored on a five-point scale. Higher scores indicate better self-care and proactive foot care behavior. The DFSQ, originally developed for a Spanish population, has been validated in several languages, including Arabic, French, Persian, and Italian (4649). The Arabic version of the DFSQ has demonstrated robust validity and repeatability among Arabic-speaking populations (49).

Additionally, foot care self-efficacy was measured before and after the intervention using the Foot Care Confidence Scale (FCCS) (50). The FCCS consists of 12 items rated on a five-point Likert scale, assessing confidence in performing foot care tasks such as cutting nails, washing feet, and purchasing appropriate footwear. Scores range from 12 to 60, with higher scores indicating greater self-efficacy. The FCCS has been validated in Arabic, demonstrating good internal consistency and reliability for assessing foot care confidence among Jordanian populations (51).

Data analysis

Data analysis was conducted using IBM SPSS version 23. Descriptive statistics were used to summarize participants’ sociodemographic variables, diabetes-related health factors, and outcomes. Bivariate statistical tests, including t-tests for continuous variables and chi-square statistics for categorical variables, were used to compare data between the study groups. Fisher’s exact test was also applied when any category had fewer than 5 observations. The Wilcoxon Signed-Rank Test was applied to assess changes in self-efficacy and foot care practices within the same group before and after the intervention. Generalized Estimating Equations (GEE) were used to evaluate interactions between groups and time, adjusting for participants’ characteristics. This method accounts for the correlation of repeated measures within subjects and provides robust estimates of intervention effects (52). A p-value of <0.05 was considered statistically significant.

Ethical statement

The study protocol was approved by the Institutional Review Board (IRB) of the Jordan University of Science and Technology and the Ethics Committee at the King Abdullah University Hospital (KAUH) (#40/140/2021). Informed consent was obtained from all participants, ensuring their voluntary participation. Confidentiality was maintained by assigning unique identification codes to each participant, with all data securely stored in password-protected electronic files accessible only to authorized researchers. Participant anonymity was further safeguarded by ensuring that no identifying information was included in the analysis or reporting. The study adhered to the ethical principles outlined in the Declaration of Helsinki.

Results

Participants’ characteristics

Table 1 presents the participants’ sociodemographic and diabetes-related health factors across three groups: the control group (n = 27), Intervention Group 1 (n = 26), and Intervention Group 2 (n = 23). The control group was significantly older (59.0 ± 4.4 years) compared to Intervention Group 1 (55.7 ± 6.4 years) and Intervention Group 2 (53.0 ± 7.4 years). Education levels also differed significantly, with Intervention Group 2 having the highest average (13.8 ± 2.8 years). Most participants in the total sample were married (72.4%), unemployed (40.8%), residing in urban areas (71.1%), had never smoked (60.5%), reported adequate financial resources (59.2%), and had health insurance (80.3%), with no significant differences between the groups for these variables.

Table 1
www.frontiersin.org

Table 1. Participants’ characteristics by study (n = 76).

As detailed in Table 1, there were no significant differences between the three groups in Body Mass Index (BMI), diabetes duration, recent FBG and HbA1C levels, the presence of comorbidities, the gender of the primary supervising physician, or the number of clinic visits and hospitalizations over the past year (p > 0.05). In contrast, self-perceived health status varied significantly, with more participants in Intervention Group 1 rating their health as excellent (p = 0.006).

Participant attrition during the study was also assessed to evaluate its potential impact on the findings. Of the 108 participants who successfully completed the baseline assessment, 32 were excluded from the reassessment phase for reasons outlined in Figure 2. An analysis of characteristics showed no statistically significant differences between those who dropped out and the total sample. For instance, the mean age of dropouts was slightly higher compared to the total sample (57.2 ± 6.5 years vs. 56.5 ± 6.2 years, respectively; p = 0.48). Similarly, education levels did not differ significantly (dropouts: 12.5 ± 2.6 years vs. total sample: 12.8 ± 2.4 years, p = 0.52). Other variables, such as marital status (p = 0.61), employment status (p = 0.87), and self-perceived health status (p = 0.55), also showed no significant differences. These findings suggest that attrition did not result in systematic bias, supporting the robustness of the study’s conclusions.

Comparative analysis of outcome measures within groups: baseline vs. follow-up

Changes in foot care practices

As shown in Table 2, personal self-care total scores improved significantly in both intervention groups after the 8-week follow-up. Median scores increased from 17.2 to 23.8 (p = 0.02) in Intervention Group 1 and from 16.5 to 25.9 (p = 0.001) in Intervention Group 2. However, the control group showed only a slight, non-statistically significant increase, with scores rising from 18.2 to 20.5 (p = 0.22). In the podiatric care subscale, Intervention Group 2 demonstrated significant improvement, with median scores increasing from 9.9 to 17.7 (p = 0.001). In contrast, neither the control group (10.5 to 11.6, p = 0.30) nor Intervention Group 1 (11.0 to 13.2, p = 0.12) showed significant changes.

Table 2
www.frontiersin.org

Table 2. Median scores for foot care practices at baseline and 8-week follow-up within each group.

Footwear and socks practices followed a similar pattern, with Intervention Group 2 showing a notable increase from 11.3 to 23.2 (p = 0.01). However, both the control group and Intervention Group 1 exhibited non-significant changes (p = 0.19 and p = 0.25, respectively). Overall foot care practice scores further highlighted the intervention’s impact on Group 2, where scores significantly rose from 36.2 to 73.1 (p = 0.001). Although Intervention Group 1 showed a significant increase from 40.9 to 63.2 (p = 0.02), the control group did not experience a significant change (p = 0.18).

Changes in self-efficacy

Table 3 reveals limited progress in the self-efficacy subscale within the Control Group, with only three out of 12 items showing significant changes: protecting feet (p = 0.02), drying feet (p = 0.04), and routinely applying lotion to feet (p = 0.03). However, overall scores remained nearly unchanged (34.0 to 35.7; p = 0.21).

Table 3
www.frontiersin.org

Table 3. Median scores for self-efficacy at baseline and 8-week follow-up within each group.

In contrast, significant improvements were observed in the overall self-efficacy scores for both Intervention Group 1 (33.1–39.3; p = 0.03) and Intervention Group 2 (34.5–48.2; p = 0.001). As outlined in Table 3, both intervention groups demonstrated significant improvements in self-efficacy, including protecting feet, drying feet after washing, consistently wearing shoes and socks when walking, and routinely applying lotion to feet.

Effects of the intervention on foot care practices

Table 4 shows that the intervention led to significant improvements in foot care practices, particularly in Intervention Group 2. In the unadjusted model, participants in this group demonstrated more substantial improvements in foot care practices compared to those in Intervention Group 1. The unadjusted OR for this comparison was 1.8 (95% CI: 1.1 to 3.0, p = 0.005), and the adjusted OR (aOR) was 1.7 (95% CI: 1.2 to 2.9, p = 0.02), indicating that the additional components of the intervention in Group 2 led to greater improvements in foot care practices compared to Group 1.

Table 4
www.frontiersin.org

Table 4. GEE logistic regression analyzing the effect of the intervention on foot care practices and self-efficacy (baseline and follow-up).

A comparison between Intervention Group 2 and the Control Group revealed the most significant improvements in foot care practices within Group 2. The unadjusted OR for this comparison was 2.8 (95% CI: 1.4 to 5.6, p < 0.001), and the aOR was 2.5 (95% CI: 1.3 to 5.1, p < 0.001). This underscores the superior effectiveness of the additional intervention components in Group 2 compared to those in the Control Group. Although Intervention Group 1 also showed improvements in foot care practices over the Control Group, the effects were less pronounced. The unadjusted OR for Intervention Group 1 versus the Control Group was 1.7 (95% CI: 0.9 to 3.2, p = 0.07), and the aOR was 1.6 (95% CI: 0.8 to 3.0, p = 0.09).

Effects of the intervention on self-efficacy

As detailed in Table 4, the intervention resulted in substantial improvements in self-efficacy, especially in Intervention Group 2. The interaction between group and time further highlighted that Intervention Group 2 experienced more substantial improvements over time compared to the Intervention Group 1, with an unadjusted OR of 2.0 (95% CI: 1.2 to 3.5, p = 0.003) and an aOR of 1.8 (95% CI: 1.1 to 3.2, p = 0.01).

Comparing Intervention Group 2 with the Control Group, the improvement in self-efficacy was the most notable. The unadjusted OR was 3.0 (95% CI: 1.6 to 5.7, p < 0.001), and the aOR was 2.7 (95% CI: 1.4 to 5.2, p < 0.001). Intervention Group 1 also experienced enhancements in self-efficacy relative to the Control Group, although these did not reach statistical significance. The unadjusted OR for this comparison was 1.8 (95% CI: 0.7 to 3.3, p = 0.05), and the aOR was 1.7 (95% CI: 0.9 to 2.6, p = 0.08).

Discussion

This study evaluated the effectiveness of targeted educational interventions on foot care practices and self-efficacy among women with T2DM in northern Jordan. The findings indicate significant improvements in both areas among participants who received more interactive, tailored, and multifaceted educational approaches.

Improved foot care practices

The study revealed that participants in Intervention Group 2 showed substantial improvements across several aspects of foot care, including personal care routines, podiatric care, and footwear choices. These findings suggest that comprehensive, multimodal educational approaches with interactive elements and targeted content are more effective at promoting positive behavioral changes than standard care. The passive nature of standard clinical care, which relies heavily on provider-directed instructions, often limits patient engagement, and reduces their ability to take control of their own health (53, 54). Furthermore, this model may overlook individual patient needs and preferences, resulting in a lack of understanding of preventive foot care and poor adherence to recommended practices (53, 54).

Although participants in Intervention Group 1, who received routine follow-up via text messages and calls, showed some improvement in foot care practices, the changes were less significant compared to those in Intervention Group 2. This disparity highlights the limitations of one-way communication methods, which often lack the depth needed to fully engage patients (55). Studies have shown that while reminders through messages or calls can prompt short-term behavioral changes, they often fail to provide the comprehensive education and hands-on training necessary for sustained improvements in self-care (49, 56). As a result, patients may struggle to fully integrate foot care practices into their routine, limiting their ability to reduce the risk of skin damage and prevent foot injuries and complications, such as ulcers and infections.

In Jordan, previous research has shown that gaps in knowledge and practices regarding foot care among diabetic women are largely due to insufficient exposure to tailored educational interventions (57, 58). Accordingly, developing strategies that provide practical, easy-to-understand instructions and involve family members in supporting foot care routines is crucial in culturally conservative settings like Jordan (59). Women, in particular, may face unique challenges in managing regular diabetic foot care due to factors such as limited access to healthcare, lower health literacy, and cultural norms (59, 60). This study’s focus on women underscores the importance of implementing gender-sensitive educational programs specifically designed to meet their needs and enhance their ability to address foot issues more effectively.

Enhanced self-efficacy

In this study, participants in Intervention Group 2 demonstrated increased self-efficacy, showing greater confidence in performing foot care activities such as self-examinations, seeking medical attention, and completing essential tasks like daily foot inspections, applying lotion, and selecting appropriate footwear. These findings suggest that interactive educational approaches—incorporating group discussions, real-time problem-solving, and immediate feedback—can empower patients to take a more active role in managing their condition, thereby fostering competence in foot care practices. Our results align with other studies that highlight how improving self-efficacy is beneficial in enhancing knowledge, confidence, and promoting better foot health (56, 61, 62).

Our results also confirm that providing routine follow-up via text messages and calls led to an increase in self-efficacy within Intervention Group 1. However, compared to Intervention Group 2, the improvement was not as significant. This comparison suggests that routine reminders alone, while helpful in maintaining basic foot care behaviors, may fail to actively build a patient’s confidence to manage complex self-care activities independently (63). Our findings align with previous research, emphasizing the added value of dynamic experiences in improving foot health, such as hands-on learning, digital reinforcement tools, and opportunities for developing new skills in a supportive environment (6365).

The gains in self-efficacy observed in Intervention Group 2, compared to the Control Group, also underscore the limitations of standard clinical care in equipping patients with the necessary tools to overcome obstacles, foster a sense of mastery, and reinforce their ability to execute foot self-care tasks independently. Currently, data on the quality of diabetic care in Jordanian health facilities is limited (66). Much of the research highlights a lack of meaningful patient engagement, particularly among women, with healthcare providers often relying on delivering general instructions rather than interactive, patient-centered approaches.

Diabetic women may face additional cultural and social obstacles that further discourage them from seeking foot care or participating in related activities, especially when male physicians are typically the primary care providers (67). The lack of female physicians can exacerbate these barriers by reducing effective communication, decreasing patient comfort, and hindering adherence to recommended care practices. To address these challenges, offering practical strategies through virtual sessions exclusively for women, led by female specialists, can improve the effectiveness of educational interventions. This approach creates more culturally sensitive, comfortable, and engaging environments, encouraging long-term adherence and proactive self-management.

Management strategies and implications for practice

The study’s findings highlight several key management strategies and implications for clinical practice. These include:

Multifaceted and tailored educational interventions

Obviously, the incorporation of tailored and multifaceted educational approaches engaging patients is crucial for improving diabetic foot care practices. Standard clinical visits may not fully support patients’ self-management, so incorporating a variety of educational methods—such as practical demonstrations, personalized digital content, and regular follow-ups—can significantly enhance patient engagement and adherence to foot care routines.

During clinical visits, healthcare providers can conduct routine assessments and risk stratification by categorizing DFD risk based on established guidelines. Implementing systematic screening protocols to identify patients at varying levels of risk allows for more personalized preventive strategies and interventions, ensuring that those at higher risk receive more intensive and targeted education and care.

Incorporation of technology in patient education

With the increasing availability of mobile technology among Jordanians (68), leveraging mobile devices and online platforms to deliver educational content is an effective strategy to support diabetic foot care. Given the cultural sensitivities and social barriers some patients may face, healthcare providers can offer digital reminders, interactive content, and educational videos to reinforce learning and promote adherence to recommended foot care practices. This approach helps create a supportive and accessible environment for patients, making it easier to maintain consistent foot care, even outside the clinical settings. Furthermore, health educators must ensure that videos and other educational modalities are accessible and easily understood by the least educated and most vulnerable patients.

Family involvement in foot care management

Strengthening family responsibilities in managing DFD can be a powerful strategy to enhance self-care and improve patient outcomes. This is particularly important for supporting vulnerable patients who are older adults, poorly educated, and have limited access to advanced technologies. By defining specific family roles in foot care and actively engaging them in the management process, challenges in self-care can be addressed more effectively. This approach fosters a supportive environment where families can help set lifestyle goals, such as preparing healthier meals, promoting regular exercise, and ensuring adherence to foot care routines. Families interested in participating in such initiatives may benefit from training to build their capacity in supporting expected self-care behaviors.

Study strengths and limitations

The study has several notable strengths. First, it employed a pretest-posttest, quasi-experimental design, providing a robust framework for evaluating the effectiveness of educational interventions over time. This design offered valuable insights into how targeted strategies can improve foot care practices and self-efficacy among diabetic women. Additionally, the study was guided by the HBM, an evidence-based model that ensured the educational interventions were tailored to address specific barriers and motivators related to foot care, thereby enhancing their relevance and effectiveness. Furthermore, the study demonstrated cultural sensitivity by customizing educational materials to fit the specific context of Jordan, increasing both the engagement and applicability of the interventions for the target population.

However, the study had several limitations. The use of a nonprobability convenience sampling method limits the generalizability of the findings, as the sample may not fully represent the diversity of women with T2DM in Jordan. Furthermore, conducting the study in a single setting may further restrict the applicability of the results to other populations or settings. The relatively small final sample size due to participant attrition over the 8-week intervention period could affect the study’s statistical power, potentially impacting the ability to detect significant differences between groups. The short follow-up duration of 8 weeks may not have been sufficient to assess the long-term sustainability of the observed improvements in foot care practices and self-efficacy. Future studies should consider longer follow-up periods to evaluate the durability of intervention effects over time.

Conclusion

The findings reveal that women with T2DM who received targeted interactive educational interventions showed the greatest improvements in both foot care practices and self-efficacy, compared to those who received standard clinical visits or routine follow-ups via text messages and calls without additional engaging components. This suggests that incorporating elements such as interprofessional collaboration, practical demonstrations, digital content, and family support is more effective in promoting better foot care behaviors and increasing patients’ confidence in managing their foot health.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The Institutional Review Board (IRB) of the Jordan University of Science and Technology and the Ethics Committee at the King Abdullah University Hospital (KAUH) approved the study protocol (# 40/140/2021). Informed consent was obtained from all participants, ensuring their voluntary and confidential participation in both stages of the study. The study was conducted in accordance with the Declaration of Helsinki. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

HH: Conceptualization, Data curation, Formal analysis, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing. RA: Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Project administration, Writing – original draft, Writing – review & editing. SA: Conceptualization, Methodology, Writing – original draft, Writing – review & editing. WB: Conceptualization, Methodology, Writing – original draft, Writing – review & editing. AA-S: Conceptualization, Methodology, Writing – original draft, Writing – review & editing. NS: Data curation, Methodology, Project administration, Resources, Supervision, Writing – original draft, Writing – review & editing. AA: Conceptualization, Writing – original draft, Writing – review & editing. FA: Conceptualization, Writing – original draft, Writing – review & editing. AH: Conceptualization, Formal analysis, Writing – original draft, Writing – review & editing. HR: Conceptualization, Validation, Writing – original draft, Writing – review & editing. MS: Writing – original draft, Writing – review & editing. MA: Conceptualization, Validation, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported through a grant from the Scientific Research Support Fund, Funded Project #MPH/1/64/2019, Ministry of Higher Education and Scientific Research, Hashemite Kingdom of Jordan. The funder had no role in the design of the study, data collection, analysis, interpretation, or preparation and writing of the manuscript.

Acknowledgments

We are extremely grateful to all the women who participated in this study. We also extend our thanks to the nurses and physicians at the participating hospital for facilitating the data collection process. Special thanks go to the Ministry of Higher Education and Scientific Research in Jordan for funding this research, and to the Deanship of Research at Jordan University of Science and Technology for their support.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The authors declare that no Gen AI was used in the creation of this manuscript.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Noor, S, Khan, RU, and Ahmad, J. Understanding diabetic foot infection and its management. Diabetes Metab Syndr Clin Res Rev. (2017) 11:149–56. doi: 10.1016/j.dsx.2016.06.023

PubMed Abstract | Crossref Full Text | Google Scholar

2. Vanherwegen, AS, Lauwers, P, Lavens, A, Doggen, K, and Dirinck, E. Sex differences in diabetic foot ulcer severity and outcome in Belgium. PLoS One. (2023) 18:e0281886. doi: 10.1371/journal.pone.0281886

PubMed Abstract | Crossref Full Text | Google Scholar

3. Zou, J, Zhang, W, Chen, X, Su, W, and Yu, D. Data mining reveals the association between diabetic foot ulcer and peripheral artery disease. Front Public Health. (2022) 10:963426. doi: 10.3389/fpubh.2022.963426

PubMed Abstract | Crossref Full Text | Google Scholar

4. van, J, Bus, SA, Apelqvist, J, Lipsky, B, Hinchliffe, R, Game, F, et al. Definitions and criteria for diabetic foot disease. Diabetes Metab Res Rev. (2020) 36:e3268. doi: 10.1002/dmrr.3268

PubMed Abstract | Crossref Full Text | Google Scholar

5. Zhang, Y, van Netten, JJ, Baba, M, Cheng, Q, Pacella, R, McPhail, SM, et al. Diabetes-related foot disease in Australia: a systematic review of the prevalence and incidence of risk factors, disease, and amputation in Australian populations. J Foot Ankle Res. (2021) 14:8. doi: 10.1186/s13047-021-00447-x

Crossref Full Text | Google Scholar

6. Armstrong, DG, Swerdlow, MA, Armstrong, AA, Conte, MS, Padula, WV, and Bus, SA. Five year mortality and direct costs of care for people with diabetic foot complications are comparable to cancer. J Foot Ankle Res. (2020) 13:16–4. doi: 10.1186/s13047-020-00383-2

PubMed Abstract | Crossref Full Text | Google Scholar

7. Woo, MWJ, and Cui, J. Factors influencing foot care behaviour among patients with diabetes: an integrative literature review. Nurs Open. (2023) 10:2159–69. doi: 10.1002/nop2.1710

Crossref Full Text | Google Scholar

8. Jeffcoate, W, Barron, E, Lomas, J, Valabhji, J, and Young, B. Using data to tackle the burden of amputation in diabetes. Lancet. (2017):390 (10105). doi: 10.1016/S0140-6736(17)32367-7

Crossref Full Text | Google Scholar

9. Lazzarini, PA, van Netten, JJ, Fitridge, RA, Griffiths, I, Kinnear, EM, Malone, M, et al. Pathway to ending avoidable diabetes-related amputations in Australia. Med J Aust. (2018) 209:288–90. doi: 10.5694/mja17.01198

Crossref Full Text | Google Scholar

10. Dewi, F, and Hinchliffe, RJ. Foot complications in patients with diabetes. Surgery. (2020) 38:108–13. doi: 10.1016/j.mpsur.2019.12.002

Crossref Full Text | Google Scholar

11. Luo, Y, Liu, C, Li, C, Jin, M, Pi, L, and Jin, Z. The incidence of lower extremity amputation and its associated risk factors in patients with diabetic foot ulcers: a meta-analysis. Int Wound J. (2024) 21:e14931. doi: 10.1111/iwj.14931

PubMed Abstract | Crossref Full Text | Google Scholar

12. World Health Organization. Diabetes. (2023). Available at: https://www.who.int/news-room/fact-sheets/detail/diabetes (Accessed July 23, 2024).

Google Scholar

13. Ababneh, A, Bakri, FG, Khader, Y, Lazzarini, P, and Ajlouni, K. Prevalence and associates of foot deformities among patients with diabetes in Jordan. Curr Diabetes Rev. (2020) 16:471–82. doi: 10.2174/1573399815666191001101910

PubMed Abstract | Crossref Full Text | Google Scholar

14. Shahbazian, H, Yazdanpanah, L, and Latifi, SM. Risk assessment of patients with diabetes for foot ulcers according to risk classification consensus of international working group on diabetic foot (IWGDF). Pak J Med Sci. (2013) 29:730–4. doi: 10.12669/pjms.293.3473

PubMed Abstract | Crossref Full Text | Google Scholar

15. AlAyed, MY, Younes, N, al-Smady, M, Khader, Y, Robert, A, and Ajlouni, K. Prevalence of foot ulcers, foot at risk and associated risk factors among Jordanian diabetics. Curr Diabetes Rev. (2017) 13:182–91. doi: 10.2174/1573399812666151210143140

PubMed Abstract | Crossref Full Text | Google Scholar

16. Aborajooh, E, Alqaisi, TM, Yassin, M, Alqpelat, E, Abofaraj, A, Alrawajih, T, et al. Diabetic foot ulcer in southern Jordan: a cross-sectional study of clinical and microbiological aspects. Ann Med Surg. (2022) 76:103552. doi: 10.1016/j.amsu.2022.103552

PubMed Abstract | Crossref Full Text | Google Scholar

17. Zeleníková, R, Bužgová, R, Janíková, E, and Jarošová, D. Evaluation of quality of life of patients with diabetic foot syndrome in selected health care facilities of Moravian Silesian region. Cent Eur J Nurs Midwifery. (2014) 5:2–8.

Google Scholar

18. Raspovic, KM, and Wukich, DK. Self-reported quality of life in patients with diabetes: a comparison of patients with and without Charcot neuroarthropathy. Foot Ankle Int. (2014) 35:195–200. doi: 10.1177/1071100713517097

PubMed Abstract | Crossref Full Text | Google Scholar

19. Wang, Z, Hazlehurst, J, Subramanian, A, Tahrani, AA, Hanif, W, Thomas, N, et al. Diabetic foot risk classification at the time of type 2 diabetes diagnosis and subsequent risk of mortality: a population-based cohort study. Front Endocrinol. (2022) 13:888924. doi: 10.3389/fendo.2022.888924

PubMed Abstract | Crossref Full Text | Google Scholar

20. Yazdanpanah, L, Shahbazian, H, Nazari, I, Arti, HR, Ahmadi, F, Mohammadianinejad, SE, et al. Incidence and risk factors of diabetic foot ulcer: a population-based diabetic foot cohort (ADFC study)—two-year follow-up study. Int J Endocrinol. (2018) 2018:7631659. doi: 10.1155/2018/7631659

PubMed Abstract | Crossref Full Text | Google Scholar

21. Bus, SA, and van Netten, JJ. A shift in priority in diabetic foot care and research: 75% of foot ulcers are preventable. Diabetes Metab Res Rev. (2016) 32:195–200. doi: 10.1002/dmrr.2738

PubMed Abstract | Crossref Full Text | Google Scholar

22. NG19. Diabetic foot problems: prevention and management. National Institute for Health and Care Excellence (NICE). (2015). Available at: https://www.nice.org.uk/guidance/ng (Accessed August 1, 2024).

Google Scholar

23. Department of Health and NHS England. The management of adult diabetes services in the NHS: Progress review. (2015). Available at: https://www.nao.org.uk/wp-content/uploads/2015/10/The-management-of-adult-diabetes-services-in-the-NHS-progress-review.pdf (Accessed August 13, 2024).

Google Scholar

24. del, M, Ahn, J, Wukich, DK, Liu, G, Lalli, T, VanPelt, M, et al. Gender differences on SF-36 patient-reported outcomes of diabetic foot disease. Int J Low Extrem Wounds. (2018) 17:87–93. doi: 10.1177/1534734618774664

PubMed Abstract | Crossref Full Text | Google Scholar

25. López-López, D, Becerro-de-Bengoa-Vallejo, R, Losa-Iglesias, ME, Palomo-López, P, Rodríguez-Sanz, D, Brandariz-Pereira, JM, et al. Evaluation of foot health-related quality of life in individuals with foot problems by gender: a cross-sectional comparative analysis study. BMJ Open. (2018) 8:e023980. doi: 10.1136/bmjopen-2018-023980

PubMed Abstract | Crossref Full Text | Google Scholar

26. Palomo-López, P, Calvo-Lobo, C, Becerro-de-Bengoa-Vallejo, R, Losa-Iglesias, ME, Rodriguez-Sanz, D, Sánchez-Gómez, R, et al. Quality of life related to foot health status in women with fibromyalgia: a case-control study. Arch Med Sci. (2019) 15:694–9. doi: 10.5114/aoms.2018.77057

PubMed Abstract | Crossref Full Text | Google Scholar

27. Letompa, S, Khanyile, L, Mathivha, T, and Purbhoo, M. Foot health status in pregnant women. Foot (Edinb). (2023) 55:101938. doi: 10.1016/j.foot.2022.101938

Crossref Full Text | Google Scholar

28. Puszczałowska-Lizis, E, Dąbrowiecki, D, Jandziś, S, and Żak, M. Foot deformities in women are associated with wearing high-heeled shoes. Med Sci Monit. (2019) 25:7746–54. doi: 10.12659/MSM.917983

Crossref Full Text | Google Scholar

29. Walsh, TP, Butterworth, PA, Urquhart, DM, Cicuttini, FM, Landorf, KB, Wluka, AE, et al. Increase in body weight over a two-year period is associated with an increase in midfoot pressure and foot pain. J Foot Ankle Res. (2017) 10:31. doi: 10.1186/s13047-017-0214-5

PubMed Abstract | Crossref Full Text | Google Scholar

30. Hsu, L, Li, L, and Poon, LY. Analysis of risk factors of infection in diabetic foot patients. Int Wound J. (2024) 21:e14411. doi: 10.1111/iwj.14411

PubMed Abstract | Crossref Full Text | Google Scholar

31. Molnár, ÁÁ, Nádasy, GL, Dörnyei, G, Patai, BB, Delfavero, J, Fülöp, GÁ, et al. The aging venous system: from varicosities to vascular cognitive impairment. Geroscience. (2021) 43:2761–84. doi: 10.1007/s11357-021-00475-2

Crossref Full Text | Google Scholar

32. Becker, MH. The health belief model and personal health behavior. Health Educ Monogr. (1974) 2:409–19. doi: 10.1177/109019817400200407

PubMed Abstract | Crossref Full Text | Google Scholar

33. Champion, V, and Skinner, CS. The health belief model In: K Glanz, B Rimer, and K Viswanath, editors. Health behavior and health education. 4th ed. San Francisco, CA: Jossey-Bass (2008). 45–65.

Google Scholar

34. Rosenstock, IM. Historical origins of the health belief model. Health Educ Monogr. (1974) 2:328–35. doi: 10.1177/109019817400200403

Crossref Full Text | Google Scholar

35. Haller, DM, Sanci, LA, Sawyer, SM, and Patton, G. Do young people's illness beliefs affect healthcare? A systematic review. J Adolesc Health. (2008) 42:436–49. doi: 10.1016/j.jadohealth.2007.09.013

PubMed Abstract | Crossref Full Text | Google Scholar

36. Matricciani, L, and Jones, S. Who cares about foot care? Barriers and enablers of foot self-care practices among non-institutionalized older adults diagnosed with diabetes: an integrative review. Diabetes Educ. (2015) 41:106–17. doi: 10.1177/0145721714560441

PubMed Abstract | Crossref Full Text | Google Scholar

37. Doğruel, H, Aydemir, M, and Balci, MK. Management of diabetic foot ulcers and the challenging points: an endocrine view. World J Diabetes. (2022) 13:27–36. doi: 10.4239/wjd.v13.i1.27

PubMed Abstract | Crossref Full Text | Google Scholar

38. Sudha, BG, Umadevi, V, Shivaram, JM, Belehalli, P, Shekar, MA, Chaluvanarayana, HC, et al. Diabetic foot assessment and care: barriers and facilitators in a cross-sectional study in Bangalore, India. Int J Environ Res Public Health. (2023) 20:5929. doi: 10.3390/ijerph20115929

PubMed Abstract | Crossref Full Text | Google Scholar

39. Seyyedrasooli, A, Parvan, K, Valizadeh, L, Rahmani, A, Zare, M, and Izadi, T. Self-efficacy in foot care and effect of training: a single-blinded randomized controlled clinical trial. Int J Community Based Nurs Midwifery. (2015) 3:141–9.

PubMed Abstract | Google Scholar

40. Internal Clinical Guidelines Team. Diabetic foot problems: prevention and management. National Institute for Health and Care Excellence (NICE). (2015). Available at: https://www.nice.org.uk/guidance/ng19.

Google Scholar

41. Nguyen, TPL, Edwards, H, Do, TND, and Finlayson, K. Effectiveness of a theory-based foot care education program (3STEPFUN) in improving foot self-care behaviours and foot risk factors for ulceration in people with type 2 diabetes. Diabetes Res Clin Pract. (2019) 152:29–38. doi: 10.1016/j.diabres.2019.05.003

Crossref Full Text | Google Scholar

42. Kang, H. Sample size determination and power analysis using the G*power software. J Educ Eval Health Prof. (2021) 18:17. doi: 10.3352/jeehp.2021.18.17

PubMed Abstract | Crossref Full Text | Google Scholar

43. Schäfer, T, and Schwarz, MA. The meaningfulness of effect sizes in psychological research: differences between sub-disciplines and the impact of potential biases. Front Psychol. (2019) 10:813. doi: 10.3389/fpsyg.2019.00813

Crossref Full Text | Google Scholar

44. Heo, M. Impact of subject attrition on sample size determinations for longitudinal cluster randomized clinical trials. J Biopharm Stat. (2014) 24:507–22. doi: 10.1080/10543406.2014.888442

PubMed Abstract | Crossref Full Text | Google Scholar

45. Navarro-Flores, E, Morales-Asencio, JM, Cervera-Marín, JA, Labajos-Manzanares, MT, and Gijon-Nogueron, G. Development, validation and psychometric analysis of the diabetic foot self-care questionnaire of the University of Malaga, Spain (DFSQ-UMA). J Tissue Viability. (2015) 24:24–34. doi: 10.1016/j.jtv.2014.11.001

PubMed Abstract | Crossref Full Text | Google Scholar

46. Garcia-Paya, I, Lescure, Y, Delacroix, S, and Gijon-Nogueron, G. Cross-cultural adaptation and validation of the French version of the diabetic foot self-care questionnaire of the University of Malaga. J Am Podiatr Med Assoc. (2019) 109:357–66. doi: 10.7547/17-119

PubMed Abstract | Crossref Full Text | Google Scholar

47. Mahmoodi, H, Abdi, K, Navarro-Flores, E, Karimi, Z, Sharif Nia, H, and Gheshlagh, RG. Psychometric evaluation of the Persian version of the diabetic foot self-care questionnaire in Iranian patients with diabetes. BMC Endocr Disord. (2021) 21:72. doi: 10.1186/s12902-021-00734-5

PubMed Abstract | Crossref Full Text | Google Scholar

48. Navarro-Flores, E, Romero-Morales, C, Villafañe, JH, Becerro-de-Bengoa-Vallejo, R, López-López, D, Losa-Iglesias, ME, et al. Transcultural adaptation and validation of the Italian self-care diabetic foot questionnaire. Int Wound J. (2021) 18:543–51. doi: 10.1111/iwj.13554

Crossref Full Text | Google Scholar

49. Navarro-Flores, E, Losa-Iglesias, ME, Becerro-de-Bengoa-Vallejo, R, Jiménez-Cebrián, AM, Rochdi, L, Romero-Morales, C, et al. Repeatability and reliability of the diabetic foot self-care questionnaire in Arabic patients: a transcultural adaptation. J Tissue Viability. (2022) 31:62–8. doi: 10.1016/j.jtv.2021.06.007

PubMed Abstract | Crossref Full Text | Google Scholar

50. Sloan, HL. Developing and testing of the foot care confidence scale. J Nurs Meas. (2002) 10:207–18. doi: 10.1891/jnum.10.3.207.52564

PubMed Abstract | Crossref Full Text | Google Scholar

51. Ababneh, A, Finlayson, K, Lazzarini, P, and Edwards, H. Cross-cultural adaptation and reliability testing of Arabic versions of several diabetic foot psychosocial scales. Int J Low Extrem Wounds. (2023) 22:385–92. doi: 10.1177/15347346211016699

Crossref Full Text | Google Scholar

52. Chen, B, and Xu, W. Generalized estimating equation modeling on correlated microbiome sequencing data with longitudinal measures. PLoS Comput Biol. (2020) 16:e1008108. doi: 10.1371/journal.pcbi.1008108

Crossref Full Text | Google Scholar

53. Krist, AH, Tong, ST, Aycock, RA, and Longo, DR. Engaging patients in decision-making and behavior change to promote prevention. Stud Health Technol Inform. (2017) 240:284–302.

PubMed Abstract | Google Scholar

54. Marzban, S, Najafi, M, Agolli, A, and Ashrafi, E. Impact of patient engagement on healthcare quality: a scoping review. J Patient Exp. (2022) 9:23743735221125439. doi: 10.1177/23743735221125439

PubMed Abstract | Crossref Full Text | Google Scholar

55. Bombard, Y, Baker, GR, Orlando, E, Fancott, C, Bhatia, P, Casalino, S, et al. Engaging patients to improve quality of care: a systematic review. Implement Sci. (2018) 13:98. doi: 10.1186/s13012-018-0784-z

PubMed Abstract | Crossref Full Text | Google Scholar

56. Al-Khawaldeh, OA, Al-Hassan, MA, and Froelicher, ES. Self-efficacy, self-management, and glycemic control in adults with type 2 diabetes mellitus. J Diabetes Complicat. (2012) 26:10–6. doi: 10.1016/j.jdiacomp.2011.11.002

PubMed Abstract | Crossref Full Text | Google Scholar

57. Ababneh, A, Moosa, S, Al Jarrah, Q, Alsoufi, Y, Abu Qamar, MS, Saleh, M, et al. Factors associated with foot self-care in patients with diabetes-related high-risk feet: a cross-sectional design. Inquiry. (2023) 60:469580231220135. doi: 10.1177/00469580231220135

Crossref Full Text | Google Scholar

58. Al-Qaddah, RM, Al Eyadeh, A, Abu-Qamar, DMZ, Younes, N, Al‐Ryalat, D, Haddad, D, et al. Knowledge and practice of foot care among diabetics at king Hussein medical center, Jordan. J R Med Serv. (2016) 23:55–63. doi: 10.12816/0029074

Crossref Full Text | Google Scholar

59. Abu-Qamar, MZ. Knowledge and practice of foot self-care among Jordanians with diabetes: an interview-based survey study. J Wound Care. (2014) 23:247–54. doi: 10.12968/jowc.2014.23.5.247

PubMed Abstract | Crossref Full Text | Google Scholar

60. AlAyed, MY, Younes, N, Al-Smady, M, Khader, YS, Robert, AA, Ajlouni, K, et al. Prevalence of foot ulcers, foot at risk and associated risk factors among Jordanian diabetics. Curr Diabetes Rev. (2017) 13:182–191.

Google Scholar

61. Perrin, BM, Swerissen, H, and Payne, C. The association between foot-care self-efficacy beliefs and actual foot-care behaviour in people with peripheral neuropathy: a cross-sectional study. J Foot Ankle Res. (2009) 2:3. doi: 10.1186/1757-1146-2-3

PubMed Abstract | Crossref Full Text | Google Scholar

62. Wendling, S, and Beadle, V. The relationship between self-efficacy and diabetic foot self-care. J Clin Transl Endocrinol. (2015) 2:37–41. doi: 10.1016/j.jcte.2015.01.001

PubMed Abstract | Crossref Full Text | Google Scholar

63. Najafi, B, and Mishra, R. Harnessing digital health technologies to remotely manage diabetic foot syndrome: a narrative review. Medicina. (2021) 57:377. doi: 10.3390/medicina57040377

PubMed Abstract | Crossref Full Text | Google Scholar

64. Goodall, RJ, Ellauzi, J, Tan, MKH, Onida, S, Davies, AH, and Shalhoub, J. A systematic review of the impact of foot care education on self-efficacy and self-care in patients with diabetes. Eur J Vasc Endovasc Surg. (2020) 60:282–92. doi: 10.1016/j.ejvs.2020.03.053

PubMed Abstract | Crossref Full Text | Google Scholar

65. Obilor, HN, Achore, M, and Woo, K. Use of information communication technology tools in diabetic foot ulcer prevention programs: a scoping review. Can J Diabetes. (2022) 46:535–548.e5. doi: 10.1016/j.jcjd.2021.11.009

PubMed Abstract | Crossref Full Text | Google Scholar

66. Saadeh, R, Alsmadi, H, Batieha, A, Khader, Y, Jaddou, H, el‑Khateeb, M, et al. Quality of care for type 2 diabetes in Jordan: a national study. Med Int. (2023) 3:27. doi: 10.3892/mi.2023.87

PubMed Abstract | Crossref Full Text | Google Scholar

67. Abu-Qamar, M, and Wilson, A. Foot care within the Jordanian healthcare system: a qualitative inquiry of patients’ perspectives. Aust J Adv Nurs. (2011) 29:28–36. doi: 10.37464/2011.291.1630

Crossref Full Text | Google Scholar

68. Al-Qora’n, LF, Al-Odat, AM, Al-Jaghoub, S, and Al-Yaseen, H. State of the art of mobile learning in Jordanian higher education: an empirical study. Multimodal Technol Interact. (2023) 7:41. doi: 10.3390/mti7040041

Crossref Full Text | Google Scholar

Keywords: diabetic foot, foot care practice, self-efficacy, diabetic women, foot ulcers

Citation: Hijazi H, Al Abdi R, Abuhammad S, Bani Issa W, Al-Sharman A, Saadeh N, AlMarzooqi A, Refaat Ahmed F, Hossain A, Radwan H, Arsyad Subu M and Alameddine M (2025) Assessing the effectiveness of targeted educational interventions on enhancing self-efficacy and foot care practices among diabetic women in Jordan. Front. Public Health. 12:1502781. doi: 10.3389/fpubh.2024.1502781

Received: 27 September 2024; Accepted: 19 December 2024;
Published: 07 January 2025.

Edited by:

María Dolores Ruiz Fernández, University of Almeria, Spain

Reviewed by:

Ozden Gokdemir, İzmir University of Economics, Türkiye
Jose Miguel Guzman-Garcia, University of Cordoba, Spain

Copyright © 2025 Hijazi, Al Abdi, Abuhammad, Bani Issa, Al-Sharman, Saadeh, AlMarzooqi, Refaat Ahmed, Hossain, Radwan, Arsyad Subu and Alameddine. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Heba Hijazi, aGhpamF6aUBzaGFyamFoLmFjLmFl,;aGhoaWphemkwQGp1c3QuZWR1Lmpv

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.