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REVIEW article

Front. Public Health, 22 November 2023
Sec. Aging and Public Health

Shared decision making in sarcopenia treatment

Kang AnKang An1Zengxiang WuZengxiang Wu1Yu QiuYu Qiu1Mengjia PanMengjia Pan1Lin ZhangLin Zhang1Zhenmei An
Zhenmei An2*Shuangqing Li
Shuangqing Li1*
  • 1General Practice Ward/International Medical Center Ward, General Practice Medical Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
  • 2Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, Sichuan, China

The implementation of shared decision making (SDM) in management of sarcopenia is still in its nascent stage, especially compared to other areas of medical research. Accumulating evidence has highlighted the importance of SDM in older adults care. The current study overviews general SDM practices and explores the potential advantages and dilemmas of incorporating these concepts into sarcopenia management. We present common patient decision aids available for sarcopenia management and propose future research directions. SDM can be effectively integrated into daily practice with the aid of structured techniques, such as the “seek, help, assess, reach, evaluate” approach, “making good decisions in collaboration” questions, “benefits, risks, alternatives, doing nothing” tool, or “multifocal approach to sharing in shared decision making.” Such techniques fully consider patient values and preferences, thereby enhancing adherence to and satisfaction with the intervention measures. Additionally, we review the barriers to and potential solutions to SDM implementation. Further studies are required to investigate measurement and outcomes, coordination and cooperation, and digital technology, such as remote SDM. The study concludes that sarcopenia management must go beyond the single dimension of “Paternalism” choice. Integrating SDM into clinical practice offers promising opportunities to improve patient care, with patient-centered care and partnership of care approaches positively impacting treatment outcomes.

Background

Medical decision making has undergone significant changes in recent decades, leading to a major paradigm shift in geriatric medicine. The traditional patient-physician relationship under a paternalistic care model has evolved into a more collaborative and participatory interaction between patients and healthcare professionals. This transformation has led to the emergence of shared decision making (SDM) as a key approach that emphasizes active patient involvement and considers their values and preferences to foster a comprehensive understanding of treatment options and potential risks (13). SDM partnerships gradually extend into large networks involving patients, family members, healthcare teams, and nonprofessional community organizations.

Healthy aging is an integral component of advancing the “Healthy China” strategy (4). In 2015, China introduced the concept of establishing a hierarchical medical treatment system with the objective of managing “serious illnesses in hospitals, minor illnesses in the community, and rehabilitation into the community” (5). Diagnosed patients represent only “the tip of the iceberg,” among a large number of undiagnosed patients within the community. An epidemiological investigation of sarcopenia in the Chinese population revealed a prevalence rate ranging from 9.9 to 40.4% among individuals aged 60 years and older (68). The prevalence rate of possible sarcopenia in community-dwelling older Chinese adults is 46.0% (9). The primary treatments for sarcopenia include rehabilitation exercises and nutritional support (8). Although sarcopenia guidelines emphasize the importance of geriatric medicine experts, a multidisciplinary approach is required to select appropriate intervention methods based on patients’ experiences, values, and expectations. While SDM has been rapidly incorporated into chronic disease fields such as diabetes and hypertension, specific adaptations for geriatric syndrome are relatively lagging in clinical settings.

Several international guidelines, such as EWGSOP2 by European Working Group on Sarcopenia in Older People (10), ICFSR 2018 by International Clinical Practice Guidelines for Sarcopenia (11), and AWGS 2019 by Asian Working Group for Sarcopenia (12), do not offer specific guidance for integrating SDM into routine clinical practice. This research provides a brief overview of current SDM practices; discusses the scenarios, considerations, and tips of its implementation for sarcopenia management; explores helpful SDM tools; and identifies strategic priorities, and future challenges—what do we need to integrate SDM in the daily practice of sarcopenia management.

Role of SDM in sarcopenia management

Community is the most important site for improving the overall healthcare of the older adults (13), particularly for those with sarcopenia or probable sarcopenia. Primary care plays a crucial role in age-related conditions and provides coordinated, comprehensive, continuous, and accessible care (14). An effective primary care model requires a patient-centered approach, effective communication, and cultural competence in evidence-supported decision making, and collaborative care (15).

The management of sarcopenia requires interdisciplinary collaboration. However, the predominant approach is the “geriatricians-driven” model (16). Challenges arise by the integration of healthcare teams with diverse medical backgrounds, including geriatricians, general practitioners, rehabilitation therapists, and nurses. The complexity of the factors contributing to sarcopenia and the diverse presentations of each individual’s condition emphasizes the crucial role of a multidisciplinary approach to SDM in effective medical management. SDM should be initiated during the early stages of risk factor identification and should continue throughout the course of high-quality care (17). Implementing strategies such as preemptive patient education, standardized and regular assessments, adapting treatments based on patient preferences, and fostering interdisciplinary collaboration can deliver optimal individualized care (18). For individuals with specific sarcopenia conditions, such as cardiopulmonary impairment, obesity, and balance disorders, tailored progressive resistance training programs should be implemented (8).

Combined exercise and nutritional intervention is an effective approach for enhancing muscle mass, strength, and physical performance in individuals with sarcopenia (19). Studies on sarcopenia in older Chinese adults have revealed that a 12-week intensified lifestyle intervention incorporating nutritional supplementation and resistance training program significantly improves muscle mass (20, 21). The Chinese expert consensus on the prevention and intervention for older adults with sarcopenia (2023), similar to international guidelines, advocates combining nutritional intervention with exercise training programs, including resistance training, aerobic exercises, and balance training with resistance training as the primary treatment (8). Given the potential coexistence of malnutrition and sarcopenia, older adults patients with sarcopenia should undergo nutritional assessments using appropriate evaluation scales (22). Appropriate Nutritional supplementation should be provided to such patients (22). Proteins and amino acids are among the most promising dietary supplements (23, 24). Tai Chi improves balance control (8). The Chinese consensus recommends 24-form simplified Tai Chi as the preferred traditional exercise (8). However, insufficient evidence supports the use of drugs and traditional Chinese medicine for the treatment of sarcopenia (8, 25).

SDM for sarcopenia intervention providers

Situations in which SDM for sarcopenia management may be applicable can be categorized into four scenarios: simple situations, such as discussing the patient’s condition; complex situations involving special populations with specific needs; discrete situations that include considering various intervention options; and situations that require continuous care management, such as formulating long-term treatment and care plans. Overall, the process of SDM revolves around dyadic patient-doctor interactions whereby the doctor (i) presents the merits and demerits of all treatment options, (ii) elicits patient values and preferences, (iii) provides opportunities for the patient to clarifying any queries, and (iv) makes a recommendation that is respectful of the clinical context and individual patient preferences (1). Importantly, the SDM is an iterative process. As initial goals are met or as patients’ status or treatment goals change, the process may start anew (1, 18). When presenting patients with treatment recommendations, the discussion should be of the access type in an unbiased manner and should consider the advantages and disadvantages of each type.

First, patient knowledge and awareness of sarcopenia are crucial for establishing appropriate expectations and treatment preferences. The multifocal approach to sharing in shared decision making (MAPPIN’SDM) is an integrated SDM measurement instrument that considers patient, physician, and observer perspectives, assessing both behavior and perception related to SDM (26). MAPPIN’SDM has been successfully used to identify patients’ needs and expectations in rehabilitation settings, thereby facilitating early expectation management and patient education (27). Expectations may increase patient satisfaction. MAPPIN’SDM is also a valuable tool for assessing and comparing patient engagement and the quality of decision-making communication throughout interventions, contributing to the improvement of SDM practices among healthcare teams (26).

Healthcare providers can adapt their communication approaches to engage in comprehensive discussions with patients regarding sarcopenia, including its definition, potential risks, treatment options, benefits, and expected outcomes. While providing treatment recommendations, healthcare teams should seek to understand patients’ values and preferences regarding treatment options. The “seek, help, assess, reach, evaluate” (SHARE) approach can guide the early decision-making pathway in sarcopenia intervention (28). Patients can also use accessible patient-driven decision-making tools, such as the “making good decisions in collaboration” (MAGIC) questions (29) or the “benefits, risks, alternatives, and doing nothing” (BRAN) tool (30), to make informed and considerate decisions about their own care (Table 1). Through a collaborative process involving healthcare teams, patients, and their families, a mutual decision is made that is subject to periodic reviews based on clinical changes. We can use a decision pathway from a unidirectional physician-to-patient practice to a bidirectional collaborative health team-patient practice (Figure 1). Tools that facilitate or hinder consensus between patients and physicians are depicted in the upper and lower boxes within the patient-doctor dyad. Addressing these factors is crucial for creating suitable conditions for promoting effective SDM.

TABLE 1
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Table 1. Recommended tools for daily clinical practice of shared decision making: SHARE (28), MAGIC (29), and BRAN (30).

FIGURE 1
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Figure 1. Fundamentals and influencing factors associated with shared decision making for sarcopenia treatment.

Sarcopenia, a comorbid disease with high multimorbidity and severity, is highly prevalent in patients with cardiovascular diseases, chronic obstructive pulmonary disease, osteoporosis, chronic kidney disease, and cancer (18, 3133). Healthcare teams should be extremely cautious when evaluating patients with comorbidities. However, several points require further consideration. First, a comprehensive assessment of the patient’s medical history and current health status is essential for identifying and understanding all existing comorbidities. The first step in treating sarcopenia is to determine and treat the underlying cause (34). For example, exercise and managing calorie intake may contribute to the reduction of myosteatosis in obese patients (35). Second, physicians should be attentive to the potential interactions between sarcopenia treatment and the management of other health issues. Currently, whether patients with osteoporosis are suitable for resistance exercises (36). Third, healthcare professionals should consider the patients’ overall health goals and preferences when formulating treatment plans to address both sarcopenia and comorbidities.

Such instances may arise when patients are hesitant to undergo interventions. During SDM, the healthcare team should use strategies to increase patient involvement in health behavior changes, including the five As, five Rs, and motivational interviewing, while actively providing relevant information and recommendations (37). The team can engage in collaborative discussions with patients regarding the potential implications and consequences of sarcopenia to enhance their understanding of its severity and the importance of treatment. The team should consistently uphold patient autonomy and decision-making authority and address any misconceptions. If patients refuse treatment, the team and patients can work together to establish a monitoring plan, regularly assess muscle condition, and provide the necessary education and support.

Remaining challenges in establishing an SDM culture in sarcopenia

Facilitators and barriers to high-quality SDM have been extensively studied and confirmed, including factors such as anxiety, cultural background, trust, and other psychodynamic elements (38). Decision-making becomes more complicated for older individuals with sarcopenia and multiple healthcare needs due to factors such as limited resource availability, decline in decision-making abilities, suitability of treatment options, and an increased likelihood of experiencing depression (2, 38, 39). The decision-making process may require negotiations and communication among various healthcare professionals, patients, and their families. Although evidence suggests that numerous older adults patients and their caregivers aspire to engage in decision-making, initiating discussions and sharing preferences can present challenges (2). Therefore, establishing mechanisms that support and promote SDM in sarcopenia care among healthcare providers, patients, and social caregivers is important. A path to optimize the SDM implementation is shown in Figure 2.

FIGURE 2
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Figure 2. Optimizing the approach to shared decision making in sarcopenia management. Optimizing shared decision making in the treatment of sarcopenia involves addressing a complex array of challenges, including gathering quantitative and qualitative research data, enhancing patient-provider communication, revising current policies, and assessing the impact of SDM on patient-centered outcomes.

Respect and cultural sensitivity are critical factors in the SDM process (2, 40). Chinese patients are more likely to assume a passive role in the decision-making process than patients from other countries are (40). To serve individuals better, assessments and interventions should be selected after considering cultural factors, including cultural preferences and norms. In China, families play a dominant role in decision making. The family is often an extension of the patient and ensures that the patient processes and understands the information. Additionally, community-based rehabilitation, as an extension of hospital and post-hospital rehabilitation (41), has gained importance with continuous government investment in older adults care service facilities, particularly in community-based workouts and rehabilitation equipment. In pursuit of this goal, healthcare teams should be encouraged to conduct regular visits and maintain close communication with the families of patients who choose home-based rehabilitation services and nutritional interventions.

Improving healthcare professionals’ understanding of SDM concepts is crucial to enhance their applications in clinical practice. This challenging situation demands not only a solid comprehension of the underlying SDM principles, but also familiarity with various methods for treating sarcopenia (42, 43). Excellent communication skills during patient interactions and interdisciplinary settings, along with exceptional social skills, are required to grasp individual needs and discuss available options without bias (44). Furthermore, facilitating discussions in easily understandable languages to prioritize various interventions is of the utmost importance. Training health professionals and patients (at all stages) could strengthen SDM (2).

Establishing collaborative teams is a crucial factor driving the implementation of SDM mechanisms. Effective communication among health care professionals is essential in SDM to provide patients with structured information. One study revealed that time constraints during SDM implementation in clinics pose a significant challenge, leading to limitations in practice (45). Nurses continue to constitute the majority of healthcare professionals (46). Considering the extended assessment time required for sarcopenia, a nurse-led evaluation may be a feasible solution. Moreover, healthcare professionals with SDM knowledge, skills, and positive attitudes play a significant role in implementing and promoting the process (46).

Moreover, decision coaching, clinical counseling, and patient decision aids (PDAs) are rapidly developing (2). PDAs have demonstrated greater effectiveness than that demonstrated by usual care in reducing decisional conflicts, increasing patient participation, and enhancing knowledge of treatment options and potential outcomes (47, 48). Visualization techniques allow PDAs to present personalized and tailored information that is easy to access before the actual physician-patient interaction (49). Evidence-based patient information (EBPI) is a prerequisite for informed decisions. PDAs and EBPI are commonly used in surgical, oncological, and screening decision making. Guidelines for developing PDAs have been published, including criteria for EBPI and International Patient Decision Aid Standards (50, 51). Unfortunately, PDAs that fully comply with the EBPI criteria in the context of sarcopenia management. Additionally, non-English versions of SDM tools validated through standard cross-cultural validation approaches are lacking (52).

Conclusion

Shared decision making is crucial but underexplored in sarcopenia management. Simply educating patients about exercise falls short. Developing SDM tools is vital to understand patient preferences, needs, and values. Implementing thoughtful SDM and exercise plans shifts the decision-making model in sarcopenia treatment from paternalism to patient-centered care and partnership of care.

Author contributions

KA: Software, Supervision, Validation, Writing – original draft. ZW: Visualization, Writing – original draft. YQ: Data curation, Visualization, Writing – original draft. MP: Data curation, Validation, Writing – original draft. LZ: Conceptualization, Project administration, Writing – review & editing. ZA: Methodology, Resources, Writing – review & editing. SL: Funding acquisition, Methodology, Supervision, Validation, Writing – review & editing.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by Community Health Association of China (Grant number 2021-2-045), National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University (Grant number Z2021JC005), and Sichuan Science and Technology Program (Grant number 2023YFS0247).

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.

Abbreviations

AWGS 2019, Asian working group for sarcopenia; BRAN, Benefits, risks, alternatives and doing nothing; EBPI, Evidence-based patient information; EWGSOP2, European working group on sarcopenia in older people; ICFSR 2018, International clinical practice guidelines for sarcopenia; MAGIC, Making good decisions in collaboration; MAPPIN’SDM, Multifocal approach to sharing in shared decision-making; PDAs, Patient decision aids; SDM, Shared decision-making; SHARE, Seek, help, assess, reach, evaluate

References

1. Stiggelbout, AM, Pieterse, AH, and De Haes, JC. Shared decision making: concepts, evidence, and practice. Patient Educ Couns. (2015) 98:1172–9. doi: 10.1016/j.pec.2015.06.022

CrossRef Full Text | Google Scholar

2. Joseph-Williams, N, Elwyn, G, and Edwards, A. Twenty-one years of the international shared decision making conference: lessons learnt and future priorities. BMJ Evid Med (2023).:112374. doi: 10.1136/bmjebm-2023-112374 (Epub ahead of print).

CrossRef Full Text | Google Scholar

3. Djulbegovic, B, and Guyatt, GH. Progress in evidence-based medicine: a quarter century on. Lancet. (2017) 390:415–23. doi: 10.1016/S0140-6736(16)31592-6

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Chen, X, Giles, J, Yao, Y, Yip, W, Meng, Q, Berkman, L, et al. The path to healthy ageing in China: a Peking University-lancet commission. Lancet. (2022) 400:1967–2006. doi: 10.1016/S0140-6736(22)01546-X

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Shao, H, Jin, C, Xu, J, Zhong, Y, and Xu, B. Supply-demand matching of medical services at a city level under the background of hierarchical diagnosis and treatment—based on Didi Chuxing data in Haikou, China. BMC Health Serv Res. (2022) 22:354. doi: 10.1186/s12913-022-07762-4

CrossRef Full Text | Google Scholar

6. Mayhew, AJ, Amog, K, Phillips, S, Parise, G, McNicholas, PD, de Souza, RJ, et al. The prevalence of sarcopenia in community-dwelling older adults, an exploration of differences between studies and within definitions: a systematic review and meta-analyses. Age Ageing. (2019) 48:48–56. doi: 10.1093/ageing/afy106

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Perkisas, S, De Cock, AM, Vandewoude, M, and Verhoeven, V. Prevalence of sarcopenia and 9-year mortality in nursing home residents. Aging Clin Exp Res. (2019) 31:951–9. doi: 10.1007/s40520-018-1038-2

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Cui, H, Wang, Z, Wu, J, Liu, Y, Zheng, J, Xiao, W, et al. Chinese expert consensus on prevention and intervention for elderly with sarcopenia(2023). Chin J Geriatr. (2023) 42:144–53. doi: 10.3760/cma.j.issn.0254-9026.2023.02.002

CrossRef Full Text | Google Scholar

9. Chen, Z, Ho, M, and Chau, PH. Prevalence, incidence, and associated factors of possible sarcopenia in community-dwelling Chinese older adults: a population-based longitudinal study. Front Med. (2021) 8:769708. doi: 10.3389/fmed.2021.769708

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Cruz-Jentoft, AJ, Bahat, G, Bauer, J, Boirie, Y, Bruyere, O, Cederholm, T, et al. Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing. (2019) 48:16–31. doi: 10.1093/ageing/afy169

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Dent, E, Morley, JE, Cruz-Jentoft, AJ, Arai, H, Kritchevsky, SB, Guralnik, J, et al. International clinical practice guidelines for sarcopenia (ICFSR): screening, diagnosis and management. J Nutr Health Aging. (2018) 22:1148–61. doi: 10.1007/s12603-018-1139-9

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Chen, LK, Woo, J, Assantachai, P, Auyeung, TW, Chou, MY, Iijima, K, et al. Asian working Group for Sarcopenia: 2019 consensus update on sarcopenia diagnosis and treatment. J Am Med Dir Assoc. (2020) 21:300–307.e2. doi: 10.1016/j.jamda.2019.12.012

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Fien, S, Linton, C, Mitchell, JS, Wadsworth, DP, Szabo, H, Askew, CD, et al. Characteristics of community-based exercise programs for community-dwelling older adults in rural/regional areas: a scoping review. Aging Clin Exp Res. (2022) 34:1511–28. doi: 10.1007/s40520-022-02079-y

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Epperly, T, Bechtel, C, Sweeney, R, Greiner, A, Grumbach, K, Schilz, J, et al. The shared principles of primary care: a multistakeholder initiative to find a common voice. Fam Med. (2019) 51:179–84. doi: 10.22454/FamMed.2019.925587

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Kanodra, NM, Pope, C, Halbert, CH, Silvestri, GA, Rice, LJ, and Tanner, NT. Primary care provider and patient perspectives on lung cancer screening. A qualitative study. Ann Am Thorac Soc. (2016) 13:1977–82. doi: 10.1513/AnnalsATS.201604-286OC

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Offord, NJ, Clegg, A, Turner, G, Dodds, RM, Sayer, AA, and Witham, MD. Current practice in the diagnosis and management of sarcopenia and frailty—results from a UK-wide survey. J Frail Sarcop Falls. (2019) 4:71–7. doi: 10.22540/JFSF-04-071

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Truglio-Londrigan, M, and Slyer, JT. Shared decision-making for nursing practice: an integrative review. Open Nurs J. (2018) 12:1–14. doi: 10.2174/1874434601812010001

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Murea, M, Grey, CR, and Lok, CE. Shared decision-making in hemodialysis vascular access practice. Kidney Int. (2021) 100:799–808. doi: 10.1016/j.kint.2021.05.041

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Wu, PY, Huang, KS, Chen, KM, Chou, CP, and Tu, YK. Exercise, nutrition, and combined exercise and nutrition in older adults with sarcopenia: a systematic review and network Meta-analysis. Maturitas. (2021) 145:38–48. doi: 10.1016/j.maturitas.2020.12.009

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Zhu, LY, Chan, R, Kwok, T, Cheng, KC, Ha, A, and Woo, J. Effects of exercise and nutrition supplementation in community-dwelling older Chinese people with sarcopenia: a randomized controlled trial. Age Ageing. (2019) 48:220–8. doi: 10.1093/ageing/afy179

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Liang, Y, Wang, R, Jiang, J, Tan, L, and Yang, M. A randomized controlled trial of resistance and balance exercise for sarcopenic patients aged 80-99 years. Sci Rep. (2020) 10:18756. doi: 10.1038/s41598-020-75872-2

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Sieber, CC. Malnutrition and sarcopenia. Aging Clin Exp Res. (2019) 31:793–8. doi: 10.1007/s40520-019-01170-1

CrossRef Full Text | Google Scholar

23. Niccoli, S, Kolobov, A, Bon, T, Rafilovich, S, Munro, H, Tanner, K, et al. Whey protein supplementation improves rehabilitation outcomes in hospitalized geriatric patients: a double blinded, randomized controlled trial. J Nutr Gerontol Geriatr. (2017) 36:149–65. doi: 10.1080/21551197.2017.1391732

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Ali, S, and Garcia, JM. Sarcopenia, cachexia and aging: diagnosis, mechanisms and therapeutic options—a mini-review. Gerontology. (2014) 60:294–305. doi: 10.1159/000356760

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Reginster, JY, Beaudart, C, Al-Daghri, N, Avouac, B, Bauer, J, Bere, N, et al. Update on the ESCEO recommendation for the conduct of clinical trials for drugs aiming at the treatment of sarcopenia in older adults. Aging Clin Exp Res. (2021) 33:3–17. doi: 10.1007/s40520-020-01663-4

CrossRef Full Text | Google Scholar

26. Kasper, J, Hoffmann, F, Heesen, C, Kopke, S, and Geiger, F. MAPPIN'SDM--the multifocal approach to sharing in shared decision making. PLoS One. (2012) 7:e34849. doi: 10.1371/journal.pone.0034849

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Kasper, J, Liethmann, K, Heesen, C, Reissmann, DR, and Geiger, F. Training doctors briefly and in situ to involve their patients in making medical decisions-preliminary testing of a newly developed module. Health Expect. (2017) 20:1254–63. doi: 10.1111/hex.12565

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Agency for Healthcare Research and Quality (2023). The SHARE approach. Available at: https://www.ahrq.gov/health-literacy/professional-training/shared-decision/index.html (Accessed July 23, 2023).

Google Scholar

29. The Health Foundation (2023). Implementing shared decision making. Available at: https://www.health.org.uk/publications/implementing-shared-decision-making (Accessed July 28, 2023).

Google Scholar

30. Choosing Wisely UK (2023). Make the MOST of your appointment. Using bran to make the right choices. Patient leaflet. Available at: https://choosingwisely.co.uk/shared-decision-making-resources/make-the-most-of-your-appointment-using-bran-to-make-the-right-choices-patient-leaflet/ (Accessed July 20, 2023).

Google Scholar

31. Laskou, F, Fuggle, NR, Patel, HP, Jameson, K, Cooper, C, and Dennison, E. Associations of osteoporosis and sarcopenia with frailty and multimorbidity among participants of the Hertfordshire cohort study. J Cachexia Sarcopenia Muscle. (2022) 13:220–9. doi: 10.1002/jcsm.12870

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Pacifico, J, Reijnierse, EM, Lim, WK, and Maier, AB. The association between sarcopenia as a comorbid disease and incidence of institutionalisation and mortality in geriatric rehabilitation inpatients: REStORing health of acutely unwell adulTs (RESORT). Gerontology. (2022) 68:498–508. doi: 10.1159/000517461

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Penson, PE, Bruckert, E, Marais, D, Reiner, Z, Pirro, M, Sahebkar, A, et al. Step-by-step diagnosis and management of the nocebo/drucebo effect in statin-associated muscle symptoms patients: a position paper from the international lipid expert panel (ILEP). J Cachexia Sarcopenia Muscle. (2022) 13:1596–622. doi: 10.1002/jcsm.12960

CrossRef Full Text | Google Scholar

34. Goodpaster, BH, Chomentowski, P, Ward, BK, Rossi, A, Glynn, NW, Delmonico, MJ, et al. Effects of physical activity on strength and skeletal muscle fat infiltration in older adults: a randomized controlled trial. J Appl Physiol. (2008) 105:1498–503. doi: 10.1152/japplphysiol.90425.2008

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Damluji, AA, Alfaraidhy, M, AlHajri, N, Rohant, NN, Kumar, M, Al Malouf, C, et al. Sarcopenia and cardiovascular diseases. Circulation. (2023) 147:1534–53. doi: 10.1161/CIRCULATIONAHA.123.064071

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Hong, AR, and Kim, SW. Effects of resistance exercise on bone health. Endocrinol Metabol. (2018) 33:435–44. doi: 10.3803/EnM.2018.33.4.435

PubMed Abstract | CrossRef Full Text | Google Scholar

37. 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. doi: 10.3233/ISU-170826

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Waldron, T, Carr, T, McMullen, L, Westhorp, G, Duncan, V, Neufeld, SM, et al. Development of a program theory for shared decision-making: a realist synthesis. BMC Health Serv Res. (2020) 20:59. doi: 10.1186/s12913-019-4649-1

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Banerjee, S. Multimorbidity--older adults need health care that can count past one. Lancet. (2015) 385:587–9. doi: 10.1016/S0140-6736(14)61596-8

CrossRef Full Text | Google Scholar

40. Chung, FF, Wang, PY, Lin, SC, Lee, YH, Wu, HY, and Lin, MH. Shared clinical decision-making experiences in nursing: a qualitative study. BMC Nurs. (2021) 20:85. doi: 10.1186/s12912-021-00597-0

CrossRef Full Text | Google Scholar

41. Ingstad, K, Moe, A, and Brataas, HV. Patient involvement during a pathway of home-based Reablement for older persons: a longitudinal single-case study. J Multidiscip Healthc. (2021) 14:1911–21. doi: 10.2147/JMDH.S321760

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Guralnik, JM, Cawthon, PM, Bhasin, S, Fielding, R, Magaziner, J, Cruz-Jentoft, AJ, et al. Limited physician knowledge of sarcopenia: a survey. J Am Geriatr Soc. (2023) 71:1595–602. doi: 10.1111/jgs.18227

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Reijnierse, EM, MAE, DVDS, Trappenburg, MC, Doves, M, CGM, M, and Maier, AB. Lack of knowledge and availability of diagnostic equipment could hinder the diagnosis of sarcopenia and its management. PLoS One. (2017) 12:e0185837. doi: 10.1371/journal.pone.0185837

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Hargraves, I, LeBlanc, A, Shah, ND, and Montori, VM. Shared decision making: the need for patient-clinician conversation. Not Just Inform Health Affairs. (2016) 35:627–9. doi: 10.1377/hlthaff.2015.1354

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Mathijssen, EGE, van den Bemt, BJF, Wielsma, S, van den Hoogen, FHJ, and Vriezekolk, JE. Exploring healthcare professionals' knowledge, attitudes and experiences of shared decision making in rheumatology. RMD Open. (2020) 6:e001121. doi: 10.1136/rmdopen-2019-001121

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Friesen-Storms, JH, Bours, GJ, van der Weijden, T, and Beurskens, AJ. Shared decision making in chronic care in the context of evidence based practice in nursing. Int J Nurs Stud. (2015) 52:393–402. doi: 10.1016/j.ijnurstu.2014.06.012

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Herath, M, Reid, JL, Ting, YY, Bradshaw, EL, Edwards, S, Bruening, M, et al. Patient focused interventions and communication in the surgical clinic: a systematic review and meta-analysis. EClinicalMedicine. (2023) 57:101893. doi: 10.1016/j.eclinm.2023.101893

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Bailey, RA, Pfeifer, M, Shillington, AC, Harshaw, Q, Funnell, MM, VanWingen, J, et al. Effect of a patient decision aid (PDA) for type 2 diabetes on knowledge, decisional self-efficacy, and decisional conflict. BMC Health Serv Res. (2016) 16:10. doi: 10.1186/s12913-016-1262-4

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Abbasgholizadeh Rahimi, S, Cwintal, M, Huang, Y, Ghadiri, P, Grad, R, Poenaru, D, et al. Application of artificial intelligence in shared decision making: scoping review. JMIR Med Inform. (2022) 10:e36199. doi: 10.2196/36199

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Bunge, M, Muhlhauser, I, and Steckelberg, A. What constitutes evidence-based patient information? Overview of discussed criteria. Patient Educ Couns. (2010) 78:316–28. doi: 10.1016/j.pec.2009.10.029

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Elwyn, G, O'Connor, AM, Bennett, C, Newcombe, RG, Politi, M, Durand, MA, et al. Assessing the quality of decision support technologies using the international patient decision aid standards instrument (IPDASi). PLoS One. (2009) 4:e4705. doi: 10.1371/journal.pone.0004705

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Forner, D, Noel, CW, Boland, L, Pieterse, AH, Borkhoff, CM, and Hong, P. The multifocal approach to sharing in shared decision making: a critical appraisal of the MAPPIN'SDM. Med Decis Making. (2022) 42:114–24. doi: 10.1177/0272989X211010738

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: shared decision making, patient-centered care, partnership of care, patient values and preferences, older adults, sarcopenia

Citation: An K, Wu Z, Qiu Y, Pan M, Zhang L, An Z and Li S (2023) Shared decision making in sarcopenia treatment. Front. Public Health. 11:1296112. doi: 10.3389/fpubh.2023.1296112

Received: 18 September 2023; Accepted: 06 November 2023;
Published: 22 November 2023.

Edited by:

Areerat Suputtitada, Chulalongkorn University, Thailand

Reviewed by:

Eduardo Gutiérrez-Abejón, Universidad de Valladolid, Spain
Roland Celoud, State Hospital Horn, Austria

Copyright © 2023 An, Wu, Qiu, Pan, Zhang, An 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: Shuangqing Li, lsqhxjk@126.com; Zhenmei An, azmhxnfm@163.com

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.