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MINI REVIEW article

Front. Public Health, 29 March 2023
Sec. Digital Public Health
This article is part of the Research Topic Perspectives in Digital Health and Big Data in Medicine: Current Trends, Professional Challenges, and Ethical, Legal, and Social Implications View all 24 articles

Transformation of chronic disease management: Before and after the COVID-19 outbreak

Steven Yu,,,,Steven Yu1,2,3,4,5Rongjun Wan,,,,Rongjun Wan1,2,3,4,5Lu Bai,,,,Lu Bai1,2,3,4,5Bingrong Zhao,,,,Bingrong Zhao1,2,3,4,5Qiaoling Jiang,,,,Qiaoling Jiang1,2,3,4,5Juan Jiang,,,,
Juan Jiang1,2,3,4,5*Yuanyuan Li,,,,
Yuanyuan Li1,2,3,4,5*
  • 1Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China
  • 2Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China
  • 3Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, China
  • 4Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, China
  • 5National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China

Adults with chronic diseases often experience a decline in their quality of life along with frequent exacerbations. These diseases can cause anxiety and impose a significant economic burden. Self-management is a crucial aspect of treatment outside of the hospital and can improve quality of life and reduce the financial burden resulting from unexpected hospitalizations. With the COVID-19 pandemic, telehealth has become a vital tool for both medical professionals and patients; many in-person appointments have been canceled due to the pandemic, leading to increased reliance on online resources. This article aimed to discuss various methods of chronic disease management, both traditional self-management and modern telehealth strategies, comparing before and after the COVID-19 outbreak and highlighting challenges that have emerged.

1. Introduction

Chronic diseases such as hypertension, diabetes, and chronic obstructive pulmonary disease are major causes of disability worldwide. Almost one in three adults suffer from at least one chronic condition, and research has suggested that 16–57% of adults in developed countries suffer from multiple chronic conditions (1). Disease management, such as persistent monitoring of vital signs, screening of biomarkers, and lifestyle modification can reduce premature mortality from chronic diseases (2). Chronic disease management often requires a patient-professional partnership, including self-management education, which traditionally provides only information and technical skills; however, current self-management education offers problem-solving skills that emphasize the enhancement of self-efficacy, improved health outcomes, and reduced costs for patients (3).

After the global outbreak of the COVID-19 pandemic, patients with chronic diseases had difficulty attending outpatient meetings and, in some cases, needed to postpone or cancel follow-ups. In response, outpatient visits and meetings for patients have mainly been moved to telehealth platforms due to personal preferences and potential contagion risk (4). The COVID-19 pandemic and the need for social distancing have further accelerated the rapid shift to technology-enabled patient education and healthcare interactions. Despite the convenience and reduced cost of healthcare in the pandemic era, whether the use of telemedicine can be a complete substitute for face-to-face meetings is still questionable (Figure 1).

FIGURE 1
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Figure 1. The shift of chronic disease management method after COVID-19 outbreak. Following the outbreak of COVID-19, there was a significant increase in the use of telehealth, which brought convenience and benefits to patients, but also raised several concerns, such as an unregulated market, privacy protection, and the effectiveness of telehealth. Simultaneously, the use of traditional chronic disease management methods has decreased significantly. Whether or not telehealth can truly replace traditional methods remains to be determined, in addition to the effectiveness of each approach.

2. The burden of chronic diseases

2.1. Patients

Individuals with chronic diseases face physical and psychological inconveniences due to persistent symptoms. Chronic diseases have a major impact on patients’ health-related quality of life and are associated with decreased function, increased mortality risk, and higher costs of personal medical care (5, 6). For individuals with low socioeconomic status, chronic diseases can be perceived as an extra burden and distraction in addition to poverty, social isolation, and poor education (7). Patients with chronic diseases often exhibit psychological symptoms, such as anxiety and depression, which have adverse effects on their conditions (8). Furthermore, interruptions in care and other challenges related to the COVID-19 pandemic may lead to poorer mental health outcomes in patients with chronic diseases (9).

2.2. Society

Chronic diseases impose a tremendous burden on society and the economy. It is estimated that by 2030, the total cost of chronic diseases in the United States will cumulatively exceed 42 trillion USD, with an additional 794 billion USD per year of losses resulting from the loss of employee productivity (10). Chronic diseases are responsible for the death of approximately 41 million people each year, accounting for 74% of global deaths (11). Several studies have also indicated that mortality rates of potentially preventable diseases (including chronic diseases) are higher in low- and middle-income countries than in those with high income (12, 13).

3. Traditional disease-specific chronic disease self-management intervention

3.1. Diabetes mellitus

Diabetes is a chronic disease that requires intervention, self-management, education, and support for patients to improve their daily quality of life and outcomes (14). According to the American Association of Diabetes Education, diabetes self-care can be divided into seven categories: healthy eating, being active, health monitoring, taking medication, problem-solving, healthy coping, and reducing risks (15). A study in the US showed that medical costs are about 2.3 times higher for patients who are diagnosed compared to those who are not (16). A randomized controlled trial conducted by Eroglu et al. (17) designed to evaluate the effect of diabetes self-management education among patients with type II diabetes reported that after a 6-month follow-up with an educational program, individuals in the intervention group had more controlled diabetes and higher scores for self-efficacy. The diabetes community has been and remains heavily impacted by the COVID-19 pandemic; a meta-analysis in China found that 9.7% of COVID-19 patients with coexisting diabetes had triple the risk of developing severe disease (18).

3.2. Chronic obstructive pulmonary disease

Chronic obstructive pulmonary disease (COPD) is a prevailing threat in modern society, mostly causing chronic cough, dyspnea, and exhaustion. It is ranked as the third leading cause of death worldwide and caused 3.23 million deaths in 2019 (19). A systematic review by Effing et al. summarized that COPD self-management programs can be categorized as either smoking cessation support, self-recognition and treatment of exacerbations, increased exercise, nutritional advice, or dyspnea management (20). For long-term impact and sustainability, education provided by professionals to patients, health care workers, and families is best to ensure enforcement and efficiency (21). Most education requires patients to attend face-to-face meetings and receive interventions. One beneficial therapeutic approach that can be used to assist in improving psychological and physical outcomes is cognitive-behavioral therapy (CBT), where patients work with therapists to exchange their thoughts and understanding of symptoms, mentality, and knowledge about the disease (20). Compared with usual care for COPD, intensive CBT has shown greater improvement in psychological and physical symptoms (22); however, cessation of non-pharmacological interventions, including rehabilitation, has become a dilemma for patients during the pandemic. Challenges that have emerged are whether or not the traditional algorithms of pharmacological management in COPD still work, as well as how pandemic-related limitations in non-pharmaceutical interventions can be overcome, as COVID-19 circulation increases healthcare utilization risk for these patients (23).

3.3. Cardiovascular diseases

Cardiovascular diseases (CVD) were the most common causes of death worldwide and led to almost 17.9 million deaths per year globally (24). The American Heart Association suggests that people undergo lifestyle changes to manage and prevent CVDs based on seven factors (Life’s Simple 7): smoking status, physical activity, body weight, diet, blood glucose, cholesterol, and blood pressure (25). It is essential for potential and diagnosed CVD patients to receive self-management interventions, as the diseases could be present but remain asymptomatic for years. The most common self-management for CVD patients is introduced in segments of self-responsibility, health status recognition, diet, weight control, aerobic exercise, smoking cessation, alcohol consumption, and medication adherence (26). During the pandemic, diet management has faced problems in decreases in food security and nutrition provision, which are detrimental to vulnerable patients with CVD (27).

3.4. Cancer

Traditional cancer self-management programs are mainly derived from focus groups and adapted from other chronic disease management programs (28). Research on the use of self-management interventions in cancer care has grown tremendously over the past few decades, resulting in significant changes in symptom management assistance during treatment to address both physical symptoms and psychosocial distress (29). The PROSELF Pain Control Program (PSPC), a psychoeducational self-management program that aims to assist patients in managing cancer-related pain, promotes self-assessment of pain, appropriate use of analgesics, and self-dosing to prevent pain escalation, providing participants with improved management of pain and a lower pain intensity score (30).

Even though the specific vulnerability of cancer patients to COVID-19 has yet to be determined (31), cancer patients are still recommended to receive stronger protection and more intensive surveillance than the normal population (32).

4. Acceleration of telehealth development during the COVID-19 outbreak

4.1. Telehealth encouraged as face-to-face visits decrease

At the beginning of the pandemic, strict and inconsistent quarantine policies caused patients with chronic diseases to suffer from changed lifestyles and medical routines. A survey conducted in the United States indicated that more than half of patients with chronic conditions felt that their lifestyles and routines, including medical plans, had been altered significantly (33). In Belo Horizonte, a major city in Brazil, the hospitalization rate for patients with cardiovascular diseases decreased by 16.3% from March to December 2020 in contrast to expectations (34). Similarly, 17.7% of patients with chronic diseases who participated in a survey in Japan canceled their face-to-face visits and experienced a shortage of drugs in April and May of 2020 (35).

The enthusiasm for telehealth adoption from patients with chronic diseases has increased during the pandemic. Patients, especially older adults, are now willing to pay the same amount of money for online remote sessions as face-to-face sessions (36). McKinsey and Company conducted a study that indicated increased use of telemedicine in recent periods; telehealth usage rates jumped from 11% of United States consumer users in 2019 to 46% in May 2020. In April 2020, the movement from office visits and outpatient care to telehealth skyrocketed 78 times higher than that seen in February. Data also show that stabilization of telehealth utilization increased 38 times compared to before the pandemic (37). A cross-sectional study conducted at the Royal College of General Practitioners Research Surveillance Centre found that face-to-face consultations fell by 64.6% and home visits fell by 62.6%, with almost a two-fold increase in telephone/electronic usage compared to the same timeframe during the early pandemic stages (38).

The COVID-19 pandemic has shifted government and public focus towards the use of digital and mobile apps (mAPPs) due to surging case numbers and strict quarantine measures. The global usage of mAPPs for health monitoring, education, and COVID-19 detection has skyrocketed, especially in densely populated countries in East and Southeast Asia (39). Mobile applications have matured and become increasingly used in chronic disease management for patient education, monitoring, and interactions for the last few decades (40), potentially showing a positive trend in patient adherence to chronic disease management (41). mAPPs have also been proven to be effective tools for reducing hospital burden, obtaining reliable information, tracking symptoms, and improving mental health (42).

Apart from traditional video conferences and phone calls to communicate with providers, telemonitoring combined with plentiful modern technologies has attracted more attention than usual during the pandemic (43). Wearable technology that can monitor physical activity, blood pressure, and other information has gained traction, allowing real-time synchronous and asynchronous data and biodata to be delivered to healthcare providers to provide more personalized and precise decisions for patients with chronic diseases (44, 45).

4.2. Telehealth usage for specific diseases

To continuously monitor clinical conditions, a special garment with an integrated sound acquisition module which directly decreased the patient’s role in operating the machine was implemented during the pandemic to capture thoracic sounds and monitor patients with COPD (46). To ensure the safety of sleep apnea patients and reduce the workload for medical workers in the COVID-19 era, a portable sleep apnea monitoring system that integrated with the mobile phones of doctors and patients’ relatives were designed, and patients were satisfied with the convenience, accuracy, and lower cost of the system (47). When technology-based pulmonary rehabilitation education was delivered to patients with chronic respiratory disease, no significant differences in quality of life and exercise ability were found compared to those who received traditional pulmonary rehabilitation, indicating that telehealth could be a trustworthy replacement during the pandemic era (48).

For diabetes, technology such as remote continuous glucose monitoring helped healthcare workers remotely grasp glucose level data for diabetic patients in both inpatient and outpatient wards. It has been proven to help the management of glycemic index levels during pandemics (49, 50). Healthcare workers and companies also turned to technology at the start of the pandemic, and diabetes-related educational applications and digital support groups including online courses and discussions were set up to help with patient care (51).

Known as Tele-CR, the delivery of cardiac rehabilitation online to help with goal setting, delivering self-management advice, and counseling for CVD patients was recommended by healthcare workers during the pandemic (52). Along with wearable trackers and telehealth tools, CR exercises could be conducted and prescribed remotely, leading to potential resource and cost savings for the healthcare system (53). Telehealth enhances the monitoring, tracking, and communication of biometric information, allowing hypertensive patients to participate better in their care which reduces their stress. Services can be easily used to notify referring physicians of the onset of acute symptoms or sudden increases in blood pressure (54).

Studies have suggested that telemedicine in cancer patient care leveraged innovative responses during the COVID-19 pandemic that may provide durable solutions that allow patients to receive proper care in their homes (55). In an randomized controlled trial conducted by Maguire et al., Advanced Symptom Management System, a remote monitoring system, was shown to be a highly efficient tool for improving the quality of life of individuals undergoing chemotherapy for various cancers. ASyMS enables real-time 24/7 monitoring and management of chemotherapy toxicity by collecting patient data and transmitting it to clinicians for evaluation. It has been demonstrated to have a positive impact on symptom burden, anxiety, self-efficacy, and other critical outcomes in patients undergoing chemotherapy; additionally, it supports patients who remain at home to receive optimal care by providing a secure and reliable platform during health crises (56).

4.3. Telehealth and COVID-19

Long-COVID is a newly emerging phenomenon that refers to persistent physical and neuropsychiatric symptoms after COVID-19 infection that last over 12 weeks without a clear cause (57), causing a health burden of up to 30% across all age groups and can potentially impact the healthcare system and economy (58). A 10-week virtual rehabilitation program for Long-COVID patients, led by multidisciplinary team, conducted weekly one-hour video learning sessions and peer interaction on Long-COVID symptoms and education. Participants have highly regarded the program, especially the guidance on breathlessness and fatigue management (59). Furthermore, a project that incorporated standardizing patient assessments, ensuring individual rehabilitation plans, and reporting activity performance was conducted in Italy, showing improvement for Long-COVID patient and caregiver education and creation of a regional database for data collection (60). Additionally, the use of telehealth could effectively assess patients with Long-COVID, providing a convenient and reliable means of remote health assessment in the absence of established guidelines or diagnostic procedures. Advanced analysis implemented in telehealth could detect disorders and facilitate further diagnostic evaluation, thereby also reducing the stress associated with Long-COVID (61).

Inadequate telehealth training among healthcare workers is another concern (62). Especially in the current phase of COVID-19 when quarantine and lockdown are no longer recommended, it is necessary to increase the number of trained and educated telehealth workers and provide them with rigorous training (63). Moreover, Covid-19 will not be the first or the last major infectious disease or natural disaster. A recent study suggests several ways to improve the utilization of telehealth during similar situations in the present or future, including training healthcare professionals, introducing accreditation and funding services, redesigning care models, and integrating telehealth into routine clinical work (64). Determining a path for utilizing telehealth after the pandemic can motivate and guide researchers, medical and government personnel to make advanced contributions on the telehealth area (65). A study proposed that telehealth should be widely and permanently implemented to achieve significant public health benefits such as reducing workload for physicians and alleviating patient flow during the current pandemic and in the future (66). However, given that both COVID-19 infection and its post-acute syndrome are relatively new phenomena, additional research and optimization of their relationship with telehealth are necessary.

4.4. Emerging problems

As telehealth is still in its youngest stage, patient satisfaction depends on the modality and functionality of delivery; however, current conclusions surrounding telehealth platform efficiency and effectiveness are uncertain (67). The effectiveness of telehealth in individuals with complicated and mixed chronic disease conditions remains unclear, thus self-management and clinical decision-making are not recommended as the main components of telehealth for patients with complex chronic conditions (68). Even though telehealth could maintain the doctor-patient relationship during the pandemic, patients still suggested that a combination of telehealth and offline face-to-face meetings would be preferable in the future (69).

Notably, telehealth platforms pose ethical and legal issues than traditional management, surrounding the liability of professionals, quality of care, and protection of personal data (70). Even in developed countries, policies and regulations associated with telehealth privacy are underregulated. The Health Insurance Portability and Accountability Act, a United States federal law enacted almost two decades ago that protects patients’ health privacy, has barely been updated since it came into law (71). Furthermore, the quality of mobile applications with diagnosing and rating functions has been found to be spotty, functionally inaccurate, and inefficient. Frequent updates and adjustments to the mAPP from the operator could pose a further barrier for government regulators to supervise the mAPP update in a timely manner (72). In addition to regulations on privacy and safety, informed consent is another essential component of telehealth; patients not only have to understand their rights and have them fulfilled, but providers must also understand the purpose of their actions, acquire consent from consumers, and ensure that patients understand every instruction (73). Access to telemedicine also poses challenges to users. A recent study indicated that females and families with relatively lower household incomes tended to participate less in telemedicine for CVD during the COVID-19 pandemic (74). Another less-active group was older adults, the majority of whom could not use video visits and other telemedicine methods due to lower levels of education, living alone, and low electronic literacy (75). Seniors’ experiences with telehealth are still evolving, and innovative technologies that address their needs must be explored to increase telehealth usage and acceptance (76).

With the existing unsolved barriers in this fast-developing field, ethical and legal issues still require more standardization and regulation to guarantee patients’ rights and quality of care. Groups that are often overlooked should also be a focus of attention for healthcare workers and telehealth companies.

5. Discussion

This review discussed and analyzed modern chronic disease management strategies before and after the COVID-19 pandemic. The shift from traditional in-person care to technology-based telehealth management has been obvious, as an increasing number of patients have opted for telehealth over traditional clinical visits. It is expected that if more novel communication channels between patients and doctors can be developed, communication will become smoother, easier, and more efficient. Cutting-edge technology and telehealth have resulted in improved patient adherence to programs and convenience for users, but despite its demonstrated benefits, uncertainties regarding the quality of privacy protection and safety remain. The overall impact of telehealth during the pandemic has yet to be determined, and patients and healthcare workers must collaborate to find the best solutions for disease management. This article intends to contribute to the advancement and evolution of chronic disease management methods. While the pandemic is expected to end at some point, the accomplishments made in the field of telehealth during this period must not be neglected and should be built upon to further refine chronic disease management approaches.

Author contributions

SY: conceptualization, writing, revision, and approval of the final version. JJ and YL: revision and approval of the final version. RW: revision and writing. LB, QJ, and BZ: revision and methodology. All authors have contributed to the manuscript and approved the submitted version.

Funding

This work was supported by grants from the Respiratory and Critical Care Medicine Department, National Key Clinical Specialty Construction Project (Z047-02), National Natural Science Foundation of China (82100099 and 82170041), and Innovative Research Platform of Hunan Development and Reform Commission (2021-212).

Acknowledgments

The authors thank Yuqin Cao (Department of Thoracic Surgery, Shanghai Ruijin Hospital) for her critical comments and suggestions.

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.

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. Hajat, C, and Stein, E. The global burden of multiple chronic conditions: a narrative review. Prev Med Rep. (2018) 12:284–93. doi: 10.1016/j.pmedr.2018.10.008

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Ding, H, Chen, Y, Yu, M, Zhong, J, Hu, R, Chen, X, et al. The effects of chronic disease management in primary health care: evidence from rural China. J Health Econ. (2021) 80:102539. doi: 10.1016/j.jhealeco.2021.102539

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Bodenheimer, T, Lorig, K, Holman, H, and Grumbach, K. Patient self-management of chronic disease in primary care. JAMA. (2002) 288:2469–75. doi: 10.1001/jama.288.19.2469

CrossRef Full Text | Google Scholar

4. Wright, A, Salazar, A, Mirica, M, Volk, LA, and Schiff, GD. The invisible epidemic: neglected chronic disease management during COVID-19. J Gen Intern Med. (2020) 35:2816–7. doi: 10.1007/s11606-020-06025-4

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Chan, SW. Chronic disease management, self-efficacy and quality of life. J Nurs Res. (2021) 29:e129. doi: 10.1097/JNR.0000000000000422

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Rothrock, NE, Hays, RD, Spritzer, K, Yount, SE, Riley, W, and Cella, D. Relative to the general US population, chronic diseases are associated with poorer health-related quality of life as measured by the patient-reported outcomes measurement information system (PROMIS). J Clin Epidemiol. (2010) 63:1195–204. doi: 10.1016/j.jclinepi.2010.04.012

PubMed Abstract | CrossRef Full Text | Google Scholar

7. van Wilder, L, Pype, P, Mertens, F, Rammant, E, Clays, E, Devleesschauwer, B, et al. Living with a chronic disease: insights from patients with a low socioeconomic status. BMC Fam Pract. (2021) 22:233. doi: 10.1186/s12875-021-01578-7

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Gerontoukou, EI, Michaelidoy, S, Rekleiti, M, Saridi, M, and Souliotis, K. Investigation of anxiety and depression in patients with chronic diseases. Health Psychol Res. (2015) 3:2123. doi: 10.4081/hpr.2015.2123

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Sayeed, A, Kundu, S, Al Banna, MH, Christopher, E, Hasan, MT, Begum, MR, et al. Mental health outcomes of adults with comorbidity and chronic diseases during the COVID-19 pandemic: a matched case-control study. Psychiatr Danub. (2020) 32:491–8. doi: 10.24869/psyd.2020.491

CrossRef Full Text | Google Scholar

10. Partnership to Fight Chronic disease. National fact sheet on the impact of chronic disease in the United States. (2018). Available at: https://www.fightchronicdisease.org/sites/default/files/pfcd_blocks/PFCD_US.FactSheet_FINAL1%20%282%29.pdf (Accessed February 28, 2023).

Google Scholar

11. World Health Organization. (2022). Noncommunicable diseases. https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases#:~:text=Key%20facts,74%25%20of%20all%20deaths%20globally (Accessed February 28, 2023).

Google Scholar

12. Abegunde, DO, Mathers, CD, Adam, T, Ortegon, M, and Strong, K. The burden and costs of chronic diseases in low-income and middle-income countries. Lancet. (2007) 370:1929–38. doi: 10.1016/S0140-6736(07)61696-1

CrossRef Full Text | Google Scholar

13. Miranda, JJ, Kinra, S, Casas, JP, Davey Smith, G, and Ebrahim, S. Non-communicable diseases in low- and middle-income countries: context, determinants and health policy. Tropical Med Int Health. (2008) 13:1225–34. doi: 10.1111/j.1365-3156.2008.02116.x

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Powers, MA, Bardsley, JK, Cypress, M, Funnell, MM, Harms, D, Hess-Fischl, A, et al. Diabetes self-management education and support in adults with type 2 diabetes: a consensus report of the American Diabetes Association, the Association of Diabetes Care and Education Specialists, the academy of nutrition and dietetics, the American Academy of family physicians, the American Academy of PAs, the American Association of Nurse Practitioners, and the American Pharmacists Association. J Acad Nutr Diet. (2021) 121:773–788.e9. doi: 10.1016/j.jand.2020.04.020

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Tomky, D, Tomky, D, Cypress, M, Dang, D, Maryniuk, M, Peyrot, M, et al. AADE7 self-care behaviors. Diabetes Educ. (2008) 34:445–9. doi: 10.1177/0145721708316625

CrossRef Full Text | Google Scholar

16. American Diabetes Association. Economic costs of diabetes in the U.S. in 2017. Diabetes Care. (2018) 41:917–28. doi: 10.2337/dci18-0007

CrossRef Full Text | Google Scholar

17. Eroglu, N, and Sabuncu, N. The effect of education given to type 2 diabetic individuals on diabetes self-management and self-efficacy: randomized controlled trial. Prim Care Diabetes. (2021) 15:451–8. doi: 10.1016/j.pcd.2021.02.011

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Li, B, Yang, J, Zhao, F, Zhi, L, Wang, X, Liu, L, et al. Prevalence and impact of cardiovascular metabolic diseases on COVID-19 in China. Clin Res Cardiol. (2020) 109:531–8. doi: 10.1007/s00392-020-01626-9

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Somayaji, R, and Chalmers, JD. Just breathe: a review of sex and gender in chronic lung disease. Eur Respir Rev. (2022) 31:31. doi: 10.1183/16000617.0111-2021

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Effing, TW, Bourbeau, J, Vercoulen, J, Apter, AJ, Coultas, D, Meek, P, et al. Self-management programmes for COPD: moving forward. Chron Respir Dis. (2012) 9:27–35. doi: 10.1177/1479972311433574

CrossRef Full Text | Google Scholar

21. Weingarten, SR, Henning, JM, Badamgarav, E, Knight, K, Hasselblad, V, Gano, A, et al. Interventions used in disease management programmes for patients with chronic illness-which ones work? BMJ. (2002) 325:925. doi: 10.1136/bmj.325.7370.925

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Williams, MT, Johnston, KN, and Paquet, C. Cognitive behavioral therapy for people with chronic obstructive pulmonary disease: rapid review. Int J Chron Obstruct Pulmon Dis. (2020) 15:903–19. doi: 10.2147/COPD.S178049

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Cazzola, M, Ora, J, Bianco, A, Rogliani, P, and Matera, MG. Management of COPD patients during COVID: difficulties and experiences. Expert Rev Respir Med. (2021) 15:1025–33. doi: 10.1080/17476348.2021.1929176

PubMed Abstract | CrossRef Full Text | Google Scholar

24. World Health Organization. (2022). Cardiovascular disease. Available at: https://www.who.int/health-topics/cardiovascular-diseases#tab=tab_1 (Accessed February 28, 2023).

Google Scholar

25. American Heart Association. (2020). Life’s simple 7. Available at: https://www.heart.org/en/professional/workplace-health/lifes-simple-7 (Accessed February 28, 2023).

Google Scholar

26. Riegel, B, Moser, DK, Buck, HG, Dickson, VV, Dunbar, SB, Lee, CS, et al. Self-care for the prevention and management of cardiovascular disease and stroke: a scientific statement for healthcare professionals from the American Heart Association. J Am Heart Assoc. (2017) 6:e006997. doi: 10.1161/JAHA.117.006997

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Crowder, SL, Beckie, T, and Stern, M. A review of food insecurity and chronic cardiovascular disease: implications during the COVID-19 pandemic. Ecol Food Nutr. (2021) 60:596–611. doi: 10.1080/03670244.2021.1956485

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Gao, WJ, and Yuan, CR. Self-management programme for cancer patients: a literature review. Int Nurs Rev. (2011) 58:288–95. doi: 10.1111/j.1466-7657.2011.00907.x

CrossRef Full Text | Google Scholar

29. McCorkle, R, Ercolano, E, Lazenby, M, Schulman-Green, D, Schilling, LS, Lorig, K, et al. Self-management: enabling and empowering patients living with cancer as a chronic illness. CA Cancer J Clin. (2011) 61:50–62. doi: 10.3322/caac.20093

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Miaskowski, C, Dodd, M, West, C, Schumacher, K, Paul, SM, Tripathy, D, et al. Randomized clinical trial of the effectiveness of a self-care intervention to improve cancer pain management. J Clin Oncol. (2004) 22:1713–20. doi: 10.1200/JCO.2004.06.140

CrossRef Full Text | Google Scholar

31. Peng, L, Liang, F, and Xia, Y. Risk of COVID-19 in patients with cancer. JAMA Oncol. (2020) 6:1469–70. doi: 10.1001/jamaoncol.2020.2577

CrossRef Full Text | Google Scholar

32. Liang, W, Guan, W, Chen, R, Wang, W, Li, J, Xu, K, et al. Cancer patients in SARS-CoV-2 infection: a nationwide analysis in China. Lancet Oncol. (2020) 21:335–7. doi: 10.1016/S1470-2045(20)30096-6

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Wolf, MS, Serper, M, Opsasnick, L, O'Conor, RM, Curtis, L, Benavente, JY, et al. Awareness, attitudes, and actions related to COVID-19 among adults with chronic conditions at the onset of the U.S. outbreak. Ann Intern Med. (2020) 173:100–9. doi: 10.7326/M20-1239

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Ribeiro, EG, Pinheiro, PC, Nascimento, BR, Cacique, JPP, Teixeira, RA, Nascimento, JS, et al. Impact of the COVID-19 pandemic on hospital admissions for cardiovascular diseases in a large Brazilian urban center. Rev Soc Bras Med Trop. (2022) 55:e0264. doi: 10.1590/0037-8682-0264-2021

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Yoshida, S, Okubo, R, Katanoda, K, and Tabuchi, T. Impact of state of emergency for coronavirus disease 2019 on hospital visits and disease exacerbation: the Japan COVID-19 and society internet survey. Fam Pract. (2022) 39:883–90. doi: 10.1093/fampra/cmac016

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Scherrenberg, M, Falter, M, and Dendale, P. Patient experiences and willingness-to-pay for cardiac telerehabilitation during the first surge of the COVID-19 pandemic: single-Centre experience. Acta Cardiol. (2021) 76:151–7. doi: 10.1080/00015385.2020.1846920

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Bestsennyy, O, Gilbert, G, Harris, A, and Rost, J. Telehealth: A Quarter-Trillion-Dollar Post-COVID-19 Reality? New York, NY: McKinsey & Company (2021). Available at: https://www.mckinsey.com/industries/healthcare/our-insights/telehealth-a-quarter-trillion-dollar-post-covid-19-reality (Accessed February 28, 2023).

Google Scholar

38. Joy, M, McGagh, D, Jones, N, Liyanage, H, Sherlock, J, Parimalanathan, V, et al. Reorganisation of primary care for older adults during COVID-19: a cross-sectional database study in the UK. Br J Gen Pract. (2020) 70:e540–7. doi: 10.3399/bjgp20X710933

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Lee, B, Ibrahim, SA, and Zhang, T. Mobile apps leveraged in the COVID-19 pandemic in east and South-East Asia: review and content analysis. JMIR Mhealth Uhealth. (2021) 9:e32093. doi: 10.2196/32093

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Fiordelli, M, Diviani, N, and Schulz, PJ. Mapping mhealth research: a decade of evolution. J Med Internet Res. (2013) 15:e95. doi: 10.2196/jmir.2430

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Hamine, S, Gerth-Guyette, E, Faulx, D, Green, BB, and Ginsburg, AS. Impact of mhealth chronic disease management on treatment adherence and patient outcomes: a systematic review. J Med Internet Res. (2015) 17:e52. doi: 10.2196/jmir.3951

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Kondylakis, H, Katehakis, DG, Kouroubali, A, Logothetidis, F, Triantafyllidis, A, Kalamaras, I, et al. COVID-19 mobile apps: a systematic review of the literature. J Med Internet Res. (2020) 22:e23170. doi: 10.2196/23170

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Moses, JC, Adibi, S, Shariful Islam, SM, Wickramasinghe, N, and Nguyen, L. Application of smartphone technologies in disease monitoring. Syst Rev [Rev] Healthcare (Basel). (2021) 9:889. doi: 10.3390/healthcare9070889

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Lau, J, Tan, DH, and Tan, KK. Inspired by COVID-19: primary care of chronic diseases must also innovate [editorial]. Fam Pract. (2020) 37:868–9. doi: 10.1093/fampra/cmaa067

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Blackstock, FC, and Roberts, NJ. Using telemedicine to provide education for the symptomatic patient with chronic respiratory disease. Life (Basel). (2021) 11:11. doi: 10.3390/life11121317

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Yilmaz, G, Rapin, M, Pessoa, D, Rocha, BM, de Sousa, AM, Rusconi, R, et al. A wearable stethoscope for long-term ambulatory respiratory health monitoring. Sensors (Basel). (2020) 20:5124. doi: 10.3390/s20185124

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Sümbül, H, Yüzer, AH, and Şekeroğlu, K. A novel portable real-time Low-cost sleep apnea monitoring system based on the global system for Mobile communications (GSM) network. Med Biol Eng Comput. (2022) 60:619–32. doi: 10.1007/s11517-021-02492-x

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Cochrane Airways GroupCox, NS, Dal Corso, S, Hansen, H, McDonald, CF, Hill, CJ, et al. Telerehabilitation for chronic respiratory disease. Cochrane Database Syst Rev. (2021) 2021:CD013040. doi: 10.1002/14651858.CD013040.pub2

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Pranata, R, Henrina, J, Raffaello, WM, Lawrensia, S, and Huang, I. Diabetes and COVID-19: the past, the present, and the future. Metabolism. (2021) 121:154814. doi: 10.1016/j.metabol.2021.154814

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Woodhouse, AG, Orvin, C, Rich, C, Crosby, J, and Keedy, CA. Diabetes outcomes before and during telehealth advancements surrounding COVID-19. J Am Pharm Assoc (2003). (2022) 62:214–7. doi: 10.1016/j.japh.2021.09.011

CrossRef Full Text | Google Scholar

51. Ranscombe, P. How diabetes management is adapting amid the COVID-19 pandemic. Lancet Diabetes Endocrinol. (2020) 8:571. doi: 10.1016/S2213-8587(20)30181-9

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Thomas, E, Gallagher, R, and Grace, SL. Future-proofing cardiac rehabilitation: transitioning services to telehealth during COVID-19. Eur J Prev Cardiol. (2020) 28:e35–6. doi: 10.1177/2047487320922926

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Yeo, TJ, Wang, YL, and Low, TT. Have a heart during the COVID-19 crisis: making the case for cardiac rehabilitation in the face of an ongoing pandemic. Eur J Prev Cardiol. (2020) 27:903–5. doi: 10.1177/2047487320915665

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Omboni, S, McManus, RJ, Bosworth, HB, Chappell, LC, Green, BB, Kario, K, et al. Evidence and recommendations on the use of telemedicine for the Management of Arterial Hypertension. Hypertension. (2020) 76:1368–83. doi: 10.1161/HYPERTENSIONAHA.120.15873

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Paterson, C, Bacon, R, Dwyer, R, Morrison, KS, Toohey, K, O'Dea, A, et al. The role of telehealth during the COVID-19 pandemic across the interdisciplinary cancer team: implications for practice. Semin Oncol Nurs. (2020) 36:151090. doi: 10.1016/j.soncn.2020.151090

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Maguire, R, McCann, L, Kotronoulas, G, Kearney, N, Ream, E, Armes, J, et al. Real time remote symptom monitoring during chemotherapy for cancer: European multicentre randomised controlled trial (eSMART). BMJ. (2021) 374:n1647. doi: 10.1136/bmj.n1647

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Sykes, DL, Holdsworth, L, Jawad, N, Gunasekera, P, Morice, AH, and Crooks, MG. Post-COVID-19 symptom burden: what is long-COVID and how should we manage it? Lung. (2021) 199:113–9. doi: 10.1007/s00408-021-00423-z

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Editorial. Long COVID, or post-COVID syndrome, and the global impact on health care [editorial]. Med Sci Monit. (2021) 27:e933446. doi: 10.12659/msm.933446

CrossRef Full Text | Google Scholar

59. Flannery, T, Brady-Sawant, H, Tarrant, R, Davison, J, Shardha, J, Halpin, S, et al. A mixed-methods evaluation of a virtual rehabilitation program for self-Management in Post-COVID-19 syndrome (long COVID). Int J Environ Res Public Health. (2022) 19:12680. doi: 10.3390/ijerph191912680

CrossRef Full Text | Google Scholar

60. Pinto, M, Gimigliano, F, De Simone, S, Costa, M, Bianchi, AAM, and Iolascon, G. Post-acute COVID-19 rehabilitation network proposal: from intensive to extensive and home-based IT supported services. Int J Environ Res Public Health. (2020) 17:9335. doi: 10.3390/ijerph17249335

CrossRef Full Text | Google Scholar

61. Romaszko-Wojtowicz, A, Maksymowicz, S, Jarynowski, A, Jaśkiewicz, Ł, Czekaj, Ł, and Doboszyńska, A. Telemonitoring in long-COVID patients-preliminary findings. Int J Environ Res Public Health. (2022) 19:19. doi: 10.3390/ijerph19095268

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Wade, VA, Eliott, JA, and Hiller, JE. Clinician acceptance is the key factor for sustainable telehealth services. Qual Health Res. (2014) 24:682–94. doi: 10.1177/1049732314528809

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Thomas, EE, Haydon, HM, Mehrotra, A, Caffery, LJ, Snoswell, CL, Banbury, A, et al. Building on the momentum: sustaining telehealth beyond COVID-19. J Telemed Telecare. (2022) 28:301–8. doi: 10.1177/1357633x20960638

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Smith, AC, Thomas, E, Snoswell, CL, Haydon, H, Mehrotra, A, Clemensen, J, et al. Telehealth for global emergencies: implications for coronavirus disease 2019 (COVID-19). J Telemed Telecare. (2020) 26:309–13. doi: 10.1177/1357633x20916567

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Garfan, S, Alamoodi, AH, Zaidan, BB, Al-Zobbi, M, Hamid, RA, Alwan, JK, et al. Telehealth utilization during the Covid-19 pandemic: a systematic review. Comput Biol Med. (2021) 138:104878. doi: 10.1016/j.compbiomed.2021.104878

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Gurwitch, RH, Salem, H, Nelson, MM, and Comer, JS. Leveraging parent-child interaction therapy and telehealth capacities to address the unique needs of young children during the COVID-19 public health crisis. Psychol Trauma. (2020) 12:S82–s84. doi: 10.1037/tra0000863

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Kruse, CS, Krowski, N, Rodriguez, B, Tran, L, Vela, J, and Brooks, M. Telehealth and patient satisfaction: a systematic review and narrative analysis. BMJ Open. (2017) 7:e016242. doi: 10.1136/bmjopen-2017-016242

CrossRef Full Text | Google Scholar

68. Ware, P, Shah, A, Ross, HJ, Logan, AG, Segal, P, Cafazzo, JA, et al. Challenges of telemonitoring programs for complex chronic conditions: randomized controlled trial with an embedded qualitative study. J Med Internet Res. (2022) 24:e31754. doi: 10.2196/31754

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Javanparast, S, Roeger, L, Kwok, Y, and Reed, RL. The experience of Australian general practice patients at high risk of poor health outcomes with telehealth during the COVID-19 pandemic: a qualitative study. BMC Fam Pract. (2021) 22:69. doi: 10.1186/s12875-021-01408-w

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Solimini, R, Busardò, FP, Gibelli, F, Sirignano, A, and Ricci, G. Ethical and legal challenges of telemedicine in the era of the COVID-19 pandemic. Medicina (Kaunas). (2021) 57:1314. doi: 10.3390/medicina57121314

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Theodos, K, and Sittig, S. Health information privacy laws in the digital age: HIPAA doesn’t apply. Perspect Health Inf Manag. (2021) 18:1l.

Google Scholar

72. Wicks, P, and Chiauzzi, E. “Trust but verify”—five approaches to ensure safe medical apps. BMC Med. (2015) 13:205. doi: 10.1186/s12916-015-0451-z

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Gil Membrado, C, Barrios, V, Cosín-Sales, J, and Gámez, JM. Telemedicine, ethics, and law in times of COVID-19. A look towards the future. Rev Clin Esp (Barc). (2021) 221:408–10. doi: 10.1016/j.rceng.2021.03.002

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Eberly, LA, Khatana, SAM, Nathan, AS, Snider, C, Julien, HM, Deleener, ME, et al. Telemedicine outpatient cardiovascular care during the COVID-19 pandemic: bridging or opening the digital divide? Circulation Divide: Digital Press [Lett]. (2020) 142:510–2. doi: 10.1161/CIRCULATIONAHA.120.048185

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Frydman, JL, Li, W, Gelfman, LP, and Liu, B. Telemedicine uptake among older adults during the COVID-19 pandemic [letter]. Ann Intern Med. (2022) 175:145–8. doi: 10.7326/M21-2972

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Oh, SS, Kim, KA, Kim, M, Oh, J, Chu, SH, and Choi, J. Measurement of digital literacy among older adults: systematic review. J Med Internet Res. (2021) 23:e26145. doi: 10.2196/26145

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: COVID-19, chronic disease management, mobile health, telemedicine, technology-based education

Citation: Yu S, Wan R, Bai L, Zhao B, Jiang Q, Jiang J and Li Y (2023) Transformation of chronic disease management: Before and after the COVID-19 outbreak. Front. Public Health. 11:1074364. doi: 10.3389/fpubh.2023.1074364

Received: 19 October 2022; Accepted: 10 March 2023;
Published: 29 March 2023.

Edited by:

João Valente Cordeiro, New University of Lisbon, Portugal

Reviewed by:

Yang Xia, Zhejiang University, China
Libing MA, Chinese Academy of Medical Sciences and Peking Union Medical College, China

Copyright © 2023 Yu, Wan, Bai, Zhao, Jiang, Jiang and Li. 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: Yuanyuan Li, leeround@csu.edu.cn; Juan Jiang, juanjiang@csu.edu.cn

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.