Self-management In Older Adults Research Articles

A machine learning approach to predict foot care self-management in older adults with diabetes

BackgroundFoot care self-management is underutilized in older adults and diabetic foot ulcers are more common in older adults. It is important to identify predictors of foot care self-management in older adults with diabetes in order to identify and support vulnerable groups. This study aimed to identify predictors of foot care self-management in older adults with diabetes using a machine learning approach.MethodThis cross-sectional study was conducted between November 2023 and February 2024. The data were collected in the endocrinology and metabolic diseases departments of three hospitals in Turkey. Patient identification form and the Foot Care Scale for Older Diabetics (FCS-OD) were used for data collection. Gradient boosting algorithms were used to predict the variable importance. Three machine learning algorithms were used in the study: XGBoost, LightGBM and Random Forest. The algorithms were used to predict patients with a score below or above the mean FCS-OD score.ResultsXGBoost had the best performance (AUC: 0.7469). The common predictors of the models were age (0.0534), gender (0.0038), perceived health status (0.0218), and treatment regimen (0.0027). The XGBoost model, which had the highest AUC value, also identified income level (0.0055) and A1c (0.0020) as predictors of the FCS-OD score.ConclusionThe study identified age, gender, perceived health status, treatment regimen, income level and A1c as predictors of foot care self-management in older adults with diabetes. Attention should be given to improving foot care self-management among this vulnerable group.

Self-management in Older Adults with Multiple Chronic Conditions (MCCs): A Qualitative Content Analysis

Background: The growing population of older adults and the prevalence of multiple chronic conditions (MCCs) among them present significant challenges in care and treatment. Self-management is an effective approach to managing the consequences of MCCs. Objectives: This study aimed to explore the psychosocial and biological factors related to self-management among older adults with MCCs. Methods: This qualitative study employed a content analysis approach from June to April 2023 in hospitals and universities in Tehran. The sample consisted of 26 participants, including older adults with MCCs, family caregivers, and specialists. Data were collected through semi-structured interviews. Purposeful sampling was used, and continued until data saturation was achieved. The rigor of the study was evaluated using the Lincoln and Guba criteria, and analysis was conducted simultaneously with data collection using the Elo and Kyngäs methods. Results: The final analysis identified several factors affecting self-management. A total of 697 semantic units and 336 codes were categorized into 13 subcategories and 4 main categories. These categories included: Individual factors (biological factors, cognitive factors, coexisting diseases, mental health, economic status, health-oriented behaviors), interpersonal factors (interaction with the medical care team, family relationships), factors related to the health system (facilities of medical centers, staff empowerment, health policymaking), and extra-organizational factors (cultural factors, social factors). Conclusions: The findings of this study highlight the factors related to self-management in older adults with MCCs, which can be utilized in the design of self-management programs.

705-P: Health Literacy on Self-Management in Older Adults with Type 2 DM—Mediating Role of Self-Efficacy

705-P: Health Literacy on Self-Management in Older Adults with Type 2 DM—Mediating Role of Self-Efficacy

Barriers and Facilitators of Self-Management in Older People with Type 1 Diabetes: A Narrative Review Focusing on Cognitive Impairment.

Over the past decades, life expectancy of people with type 1 diabetes has increased considerably, which brings potential challenges due to the process of aging. Cognitive aging and dementia, as well as reductions in visual acuity, hearing and dexterity, can influence the frequency and quality of daily self-management activities, including medication taking and insulin dosing, glucose self-monitoring, and healthy eating. This can increase the risk for hypo- and hyperglycemic events, which, in turn, may contribute to cognitive decline. Because there is a gap in understanding the barriers and facilitators of self-management in older adults with type 1 diabetes and the relationship to cognitive functioning, the authors 1) review the available literature on cognitive aging and type 1 diabetes, 2) describe what self-management in later adulthood entails and the cognitive functions required for effective self-management behaviors, 3) analyze the interaction between type 1 diabetes, cognition, aging, and self-management behaviors, and 4) describe the barriers and facilitators for self-management throughout the life span and how they may differ for older people. Potential evidence-based practices that could be developed for older adults with type 1 diabetes are discussed. There is need for further studies that clarify the impact of aging on T1D self-management, ultimately to improve diabetes care and quality of life.

Tools to measure barriers to medication management capacity in older adults: a scoping review

BackgroundMedication management capacity is a crucial component of medication adherence, particularly among older adults. Various factors, including physical abilities, cognitive functions, sensory capabilities, motivational, and environmental factors, influence older adults' ability to manage medications. It is, therefore, crucial to identify appropriate tools that allow clinicians to determine which factors may impact medication management capacity and, consequently, nonadherence to medications.Purpose1)To identify tools that measure physical, cognitive, sensory (vision, hearing, touch), motivational, and environmental barriers to medication self-management in older adults, and 2) to understand the extent to which these tools assess various barriers.MethodsThe scoping review was conducted using Arksey and O'Malley's scoping review framework and the PRISMA Extension for Scoping Reviews checklist. In June 2022, the relevant literature was identified by searching PubMed (MEDLINE), Ovid Embase, Ovid IPA, EBSCOhost CINAHL, APA PsycINFO, and Scopus.Results and discussionIn total, 7235 studies were identified. Following the removal of duplicates, 4607 articles were screened by title and abstract, of which 4253 did not meet the inclusion criteria. Three reviewers reviewed the full texts of the remaining 354 articles; among them, 41 articles, 4 theses and 1 conference abstract met the inclusion criteria. From the included studies, 44 tools were identified that measured a combination of physical, cognitive, sensory, motivational, and environmental barriers (n=19) or only cognition (n=13), vision (n=5), environmental factors (n=3), auditory (n=1), and motivational factors (n=1). The review also examined the psychometric properties of the identified tools and found that most of them had reported validity and reliability data. Several tools have demonstrated promise in assessing a combination of barriers with validity and reliability. These tools include the Self-Medication Assessment Tool (SMAT), ManageMed Screening (MMS), Self-Medication Risk Assessment Tool (RAT), HOME-Rx revised, and Medication Management Ability Assessment (MMAA).ConclusionThis scoping review identified 44 validated tools to measure various challenges that older adults encounter with medication management. However, no tool measures all five barriers (physical, cognitive, sensory, motivational, and environmental) to medication-taking at home. Therefore, utilizing a combination of tools would be most appropriate to measure these different aspects comprehensively. Further research is needed to develop a new comprehensive tool that simultaneously measures various barriers to medication self-management.

Factors associated with self-management in older adults with multiple chronic conditions: a qualitative study.

Recognizing the importance of self-management in older adults with multiple chronic conditions (MCCs) is crucial for their quality of life. This qualitative study explored the factors linked to self-management among older adults with MCCs. The present study was conducted in three stages: an integrated review, qualitative interviews, and Delphi. The search used electronic databases including Web of Science, PubMed, Scopus, Magiran, SID, and Iranmedex. The results of 33 studies that met the inclusion criteria were analyzed using conventional content analysis. A data matrix was formed; and purposeful sampling was conducted among older adults with MCCs, family caregivers, and specialists. The data were collected through semi-structured interviews. Data analysis of 29 interviews was conducted simultaneously with data collection using oriented qualitative content analysis and the Elo and Kyngäs approach. Three rounds of Delphi were conducted via email correspondence with a group of 30 experts to develop and validate the proposed variables. The factors that influence self-management can be categorized into various categories. Biological factors, cognitive factors, co-morbidities, socio-economic factors, health-related behaviors, mental health, interactions with healthcare teams, Family relationships, medical facility resources, employee empowerment, health policy development, and cultural influences. Self-management in older Iranian adults with MCCs is a complex and multidimensional phenomenon. By identifying the relevant factors, it is possible to design operational plans that promote self-management among the older adult population and are tailored to fit the specific needs of Iranian society.

Older adults with complex care needs’ experiences within a hospital-to-home transition patient navigator program: A qualitative descriptive study

Introduction Older adults living with complex care needs are often hospitalized due to poor community support. Recommendations for improving patient and family experiences include having a patient navigator to support patients and caregivers in hospital and community settings. This study aimed to report on older adults’ and caregivers’ experiences of receiving services from a hospital-to-home patient navigation program. Methods A qualitative descriptive study was conducted. Telephone interviews were conducted with 14 older adults with complex care needs or their family caregivers in Toronto, Ontario from 2020 to 2021. Data were analyzed using inductive thematic analysis. Results Four themes were identified: (1) Initial Hesitancy; (2) Meeting Evolving Needs; (3) Unexpected Benefits of Patient Navigation; and (4) The Value of Patient Navigation in Sustaining Aging-in-Place. Participants viewed all their interactions with the navigator as positive, and perceived navigators improved their quality of care. Discussion These study findings suggest that patient navigators may be well-positioned to address gaps in services around psychosocial support and care coordination while also encouraging self-management in older adults with complex care needs.

Usability Evaluation by Primary Care Providers of a Novel Digital Intervention for Type 2 Diabetes Self-Management in Older Adults.

Guerreiro, Mara Pereira PhD; Balsa, João PhD; Carmo, Maria Beatriz PhD; Cláudio, Ana Paula PhD; Félix, Isa Brito PhDEditor(s): Alexander, Susan DNP, ANP-BC, ADM-BC Author Information

Relationships Among Perception of Cognitive Function, Diabetes Self-Management, and Glucose Variability in Older Adults: A Mixed Methods Study.

The aim of the current study was to explore relationships among perceived cognitive function, glucose variability, and self-management in older adults with type 2 diabetes mellitus (T2DM). A mixed methods design was used with data from: (a) questionnaires on perceived cognitive function and diabetes self-management; (b) continuous glucose monitoring (CGM) reports; and (c) semi-structured interviews. Thirty adults with T2DM (47% female; mean age = 68.5 [SD = 5.2] years) participated. Those who exercised more days per week had more stable glucose. Those who reported fewer days of diet adherence had more hypoglycemia. Participants who reported higher levels of memory dissatisfaction exhibited higher levels of glucose variability. Findings point to the potential of glucose variability as a target to reduce the effect of diabetes on cognitive function. Instruction in recognition of glucose patterns found via CGM can be integrated into self-management education to improve self-management and subsequent glucose control and cognitive function. [Research in Gerontological Nursing, 15(4), 203-212.].

Association between Loneliness and Diseases Self-Management in Older Adults: Systematic Review

Purpose: Older adults with chronic diseases are more at risk for loneliness, and loneliness has a negative impact on health behaviors, which are key to managing chronic diseases. However, little is known about the association between loneliness and self-management behaviors in older adults with chronic diseases. As societies worldwide experience the growth of aging populations who are at higher risk of having chronic diseases as they age, clinicians and researchers should assess and address loneliness of older adults with chronic diseases. Methods: This systematic review synthesizes research found in PubMed, MEDLINE, PsychINFO, CINAHL, and SocINDEX. Findings: fourteen studies were conducted in four countries and represented n= 128,610. Loneliness was measured by three different instruments. Reports of loneliness were frequent and ranged from 7.7% (in a report of severe loneliness) to 43.2% (moderate loneliness) of older adults. Older adults who experienced loneliness were less likely to be physically active, eat a healthy diet, or cope in positive ways and more likely to be female and seek healthcare. Conclusions: This systematic review found that loneliness was moderately prevalent, and that loneliness was associated with negative disease self-management behaviors in older adults with chronic diseases. Gaps in the research include a need for studies guided by theoretical pathways, using a consistent, theoretically-based measure of loneliness, and conducted on among people with specific chronic diseases.

Assessing the Implementation and Effectiveness of the Electronic Patient-Reported Outcome Tool for Older Adults With Complex Care Needs: Mixed Methods Study.

BackgroundGoal-oriented care is being adopted to deliver person-centered primary care to older adults with multimorbidity and complex care needs. Although this model holds promise, its implementation remains a challenge. Digital health solutions may enable processes to improve adoption; however, they require evaluation to determine feasibility and impact.ObjectiveThis study aims to evaluate the implementation and effectiveness of the electronic Patient-Reported Outcome (ePRO) mobile app and portal system, designed to enable goal-oriented care delivery in interprofessional primary care practices. The research questions driving this study are as follows: Does ePRO improve quality of life and self-management in older adults with complex needs? What mechanisms are likely driving observed outcomes?MethodsA multimethod, pragmatic randomized controlled trial using a stepped-wedge design and ethnographic case studies was conducted over a 15-month period in 6 comprehensive primary care practices across Ontario with a target enrollment of 176 patients. The 6 practices were randomized into either early (3-month control period; 12-month intervention) or late (6-month control period; 9-month intervention) groups. The primary outcome measure of interest was the Assessment of Quality of Life-4D (AQoL-4D). Data were collected at baseline and at 3 monthly intervals for the duration of the trial. Ethnographic data included observations and interviews with patients and providers at the midpoint and end of the intervention. Outcome data were analyzed using linear models conducted at the individual level, accounting for cluster effects at the practice level, and ethnographic data were analyzed using qualitative description and framework analysis methods.ResultsRecruitment challenges resulted in fewer sites and participants than expected; of the 176 target, only 142 (80.6%) patients were identified as eligible to participate because of lower-than-expected provider participation and fewer-than-expected patients willing to participate or perceived as ready to engage in goal-setting. Of the 142 patients approached, 45 (32%) participated. Patients set a variety of goals related to self-management, mental health, social health, and overall well-being. Owing to underpowering, the impact of ePRO on quality of life could not be definitively assessed; however, the intervention group, ePRO plus usual care (mean 15.28, SD 18.60) demonstrated a nonsignificant decrease in quality of life (t24=−1.20; P=.24) when compared with usual care only (mean 21.76, SD 2.17). The ethnographic data reveal a complex implementation process in which the meaningfulness (or coherence) of the technology to individuals’ lives and work acted as a key driver of adoption and tool appraisal.ConclusionsThis trial experienced many unexpected and significant implementation challenges related to recruitment and engagement. Future studies could be improved through better alignment of the research methods and intervention to the complex and diverse clinical settings, dynamic goal-oriented care process, and readiness of provider and patient participants.Trial RegistrationClinicalTrials.gov NCT02917954; https://clinicaltrials.gov/ct2/show/NCT02917954

Analysis of Effectiveness and Psychological Techniques Implemented in mHealth Solutions for Middle-Aged and Elderly Adults with Type 2 Diabetes: A Narrative Review of the Literature.

Background: in diabetes, multiple mHealth solutions were produced and implemented for self-management behaviors. However, little research on the effectiveness of psychological techniques implemented within these mHealth solutions was carried out, and even less with the elderly population where technological barriers might exist. Reliable evidence generated through a comprehensive evaluation of mHealth interventions may accelerate its growth for successful long-term implementation and to help to experience mHealth benefits in an enhanced way in all ages. Objective: this study aimed to review mHealth solutions for diabetes self-management in older adults (adherence to treatments and glycemic control) by analyzing the effectiveness of specific psychological techniques implemented. Methods: a narrative review was conducted following preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. PubMed (Medline) and American Psychological Association (APA) PsycInfo databases were searched for published papers that addressed eHealth solutions’ effectiveness for diabetes self-management. Studies in English, Spanish, and/or German of any design were screened, with no time constraints regarding the year of publication. A qualitative analysis of the selected papers was conducted in several steps. Results: this review found 38 studies setting up and analyzing mHealth solutions for older adults. Most research showed improvements in HbA1c, self-management behaviors, and medication adherence in T2DM patients post intervention. However, different mid-to-long term effects were found across studies, specifically concerning the maintenance and adherence to healthy behaviors. The most employed psychological framework was CBT, including techniques such as self-monitoring of outcome behaviors (mostly targeting glycemia measurements and healthy habits as physical activity and/or diet), tailored motivational feedback from medical staff, and psychoeducation or health coaches. The most successful mHealth intervention combined the feature of tailored feedback messages, interactive communication with healthcare professionals, and multifaceted functions. Conclusions: there is a lack of elaborate and detailed information in the literature regarding the factors considered in the design and development of mHealth solutions used as interventions for T2DM self-management in the elderly. Documentation and inclusion of such vital information will foster a transparent and shared decision-making process that will ultimately lead to the development of useful and user-friendly self-management apps that can enhance the quality of life for diabetes patients. Further research adapting mHealth solutions to older adults’ sensory deficits is necessary.

Development and Content Validation of an Instrument to Measure Medication Self-Management in Older Adults.

Background: For older adults, the capacity to self-manage medications may be limited by several factors. However, currently available tools do not permit a comprehensive assessment of such limitations. The Domain Specific Limitation in Medication Management Capacity (DSL-MMC) was developed to address this need. This study aimed to establish the face and content validity of the DSL-MMC. Methods: The DSL-MMC tool consisted of 4 domains and 12 sub-domains with 42 items including: 1. physical abilities (vision, dexterity, hearing); 2. cognition (comprehension, memory, executive functioning); 3. medication regimen complexity (dosing regimen, non-oral administration, polypharmacy); and 4. access/caregiver (prescription refill, new prescription, caregiver). Pharmacists assessed each item for relevance, importance, readability, understandability, and representation. Items with content validity index (CVI) scores of <0.80 for relevance were examined for revision or removal. Results: Twelve pharmacists participated in the study. CVI scores for relevance and importance of domains were 1.0; of the sub-domains, two were below 0.80. Among the 42 items, 35 (83%) and 30 (71%) maintained CVI scores above 0.80 for relevance and importance, respectively. Five items were removed, three were merged and seven were modified due to low CVI scores and/or feedback. Conclusion: The DSL-MMC has been validated for content.

Pharmacist medication instructions are associated with continued medication self-management in older adults: a retrospective observational study

BackgroundVarious factors are related to self-management of medication. However, few reports comprehensively examine the factors related to patients, medication levels, and other factors related to the recuperative environment, such as family support. The aim of this study was to investigate factors affecting the continuation of medication self-management among hospitalized older adults receiving convalescent rehabilitation.MethodsWe conducted a retrospective observational study with 274 consecutive patients newly admitted to the convalescent rehabilitation wards at a single hospital in Japan between January 2017 and May 2018. Participants who were assessed for their ability to take their medication using the Japanese Regimen Adherence Capacity Tests, were deemed to be self-manageable, and were able to successfully continue to self-manage their medication from admission to discharge were categorized as the “continuation group,” and those who were not able to continue were categorized as the “non-continuation group.” We analyzed the groups’ demographic data, laboratory data, and Functional Independence Measure. The primary outcome was the continuation of medication self-management from admission to discharge.ResultsAfter enrollment, 134 patients (median age 82 years; 62.7% women) were included in the final analysis. Some 60.4% of eligible patients were able to maintain medication self-management during their hospitalization. The multiple logistic regression analysis for the continuation of medication self-management during hospitalization after adjusting for confounding factors revealed that pharmacist medication instructions were independently and positively correlated with successful continuation of medication self-management (odds ratio: 1.378; 95% confidence interval 1.085–1.831; p = 0.0076).ConclusionSuccessful continuation of medication self-management is associated with pharmacist medication instructions among hospitalized older adults undergoing rehabilitation.Trail registrationThe Ethics Committee’s registration number is “TGE01216–066”.

A Theory-Based Self-Management Training Program for Older Adult Peer Leaders with Diabetes: A Feasibility Assessment.

ObjectiveTo improve the quality of peer leader training, this study developed a theory-based self-management training program for older adult peer leaders with diabetes and assessed its feasibility.BackgroundCurrent self-management programs are designed mainly to be implemented by healthcare professionals, but healthcare staff may not fully perceive the needs and obstacles of older adults in disease management due to a lack of similar illness experience. To target this problem, peer leaders with successful self-management experiences, similar cultural backgrounds and languages, and related illness experiences are trained to guide and mentor peer patients in self-management programs.Study Design and MethodsThis study was conducted in two stages. In stage 1, a peer leader training program was developed based on experiential learning theory as the framework and self-regulation theory as the activity design strategy. In stage 2, program feasibility was assessed via participants’ feedback toward the training program by three indicators: attendance, future willingness to lead the peer-led self-management program, and leadership skills evaluated by a peer leader training assessment tool.ResultsIn this study, peer leaders demonstrated good leadership skills by expressing active willingness to lead self-management programs in the community. Peer leaders’ feedback indicated that the program’s training content was helpful in preparing peer leaders to guide older adults in learning self-management skills and in improving the abilities and confidence of peer leaders in mentoring self-management.ConclusionFindings in this study showed that peer leader training can impact the effectiveness and success of self-management in older adults with diabetes. Even in a small-scale study, the impact was evident, which demonstrated the feasibility of the program. More large-scale studies on the effectiveness of various peer leader training programs in diverse disciplines are recommended.Clinical Trials RegistryClinicalTrials.gov Identifier: NCT04298424 (the Peer-Led Self-Management Program).

Use of a Personal Sleep Self-Monitoring Device for Sleep Self-Management: A Feasibility Study.

The purpose of the current study was to establish feasibility of personal sleep monitoring devices (PSMDs) as an intervention for sleep self-management in older adults. This study followed a mixed-methods experimental design based on the World Health Organization's International Classification of Functioning, Disability, and Health, and the proposed conceptual model of symptom management in a social context. Results showed an acceptable recruitment and retention rate of participants, and acceptability of PSMDs by users. Participants were able to meaningfully interpret PSMD data as evidenced by the numeracy evaluation scores, initiate sleep goals, and share their sleep data and goals with friends or relatives. Findings support extending this research protocol to a larger sample. Future studies for sleep health self-management and personally tailored interventions using personal sleep monitoring are recommended. [Journal of Gerontological Nursing, 47(1), 28-34.].

Integrating Technology Acceptance and Behavior Change Theories to Guide Technology Interventions

Technology interventions are commonly proposed as an effective means to support health self-management in older adults. For such interventions to be successful, we must identify individuals who are willing to adopt and adhere to these technologies. The general Technology Acceptance Model (TAM; Davis 1989) has been widely used to predict intentions to adopt technology in a variety of contexts. Likewise, the Theory of Planned Behavior (Azjen, 1991) has long been used to provide insights about health behaviors. These theories share three common stages: attitudes, behavior intentions, and acceptance. However, neither perspective provides insight into continued utilization of a technology tool (i.e., long-term adoption). Our goal is to integrate these models with the Transtheoretic Model of Behavior Change (Prochaska & Velicer, 1997) to provide insights that can help design technological interventions for older adults who want to change a health behavior and maintain that change over time.

Relationships Between Cognitive Impairment and Self-Management in Older Adults With Type 2 Diabetes: An Integrative Review.

Cognitive impairment is common in older adults with diabetes and is likely to negatively affect their daily diabetes self-management behaviors (DSMB). The primary aim of this integrative review was to summarize and synthesize the current state of knowledge about relationships between cognitive impairment and DSMB in older adults with type 2 diabetes. The review was guided by Whittemore and Knafl's 2005 framework, and study quality was evaluated using the Crowe Critical Appraisal Tool. Of 27 studies reviewed, 24 were quantitative, and three were qualitative. Heterogeneity was noted in study design, participant characteristics, and measures of cognitive function and DSMB. Overall, global cognitive impairment and executive function impairment related particularly to poor medication management and glucose self-monitoring. The findings supported the need for routine cognitive assessment of older adults with diabetes, but more longitudinal and interventional studies are needed to better define cognitive impairment-DSMB relationships. [Research in Gerontological Nursing, 14(2), 104-112.].

Planning and optimising CHAT&PLAN: A conversation-based intervention to promote person-centred care for older people living with multimorbidity.

Older people are more likely to be living with cancer and multiple long-term conditions, but their needs, preferences for treatments, health priorities and lifestyle are often not identified or well-understood. There is a need to move towards a more comprehensive person-centred approach to care that focuses on the cumulative impact of a number of conditions on daily activities and quality of life. This paper describes the intervention planning process for CHAT& PLANTM, a structured conversation intervention to promote personalised care and support self-management in older adults with complex conditions. A theory-, evidence- and person-based approach to intervention development was undertaken. The intervention planning and development process included reviewing relevant literature and existing guidelines, developing guiding principles, conducting a behavioural analysis and constructing a logic model. Optimisation of the intervention and its implementation involved qualitative interviews with older adults with multimorbidity (n = 8), family caregivers (n = 2) and healthcare professionals (HCPs) (n = 20). Data were analysed thematically and informed changes to the intervention prototype. Review findings reflected the importance of HCPs taking a person-centred (rather than disease-centred) approach to their work with older people living with multimorbidity. This approach involves HCPs giving health service users the opportunity to voice their priorities, then using these to underpin the treatment and care plan that follow. Findings from the planning stage indicated that taking a structured approach to interactions between HCPs and health service users would enable elicitation of individual concerns, development of a plan tailored to that individual, negotiation of roles and review of goals as individual priorities change. In the optimisation stage, older adults and HCPs commented on the idea of a structured conversation to promote person-centred care and on its feasibility in practice. The idea of a shared, person-centred approach to care was viewed positively. Concerns were raised about possible extra work for those receiving or delivering care, time and staffing, and risk of creating another "tick-box" exercise for staff. Participants concluded that anyone with the appropriate skills could potentially deliver the intervention, but training was likely to be required to ensure correct utilisation and self-efficacy to deliver to the intervention. CHAT&PLAN, a structured person-centred conversation guide appears acceptable and appealing to HCPs and older adults with multimorbidity. Further development of the CHAT&PLAN intervention should focus on ensuring that staff are adequately trained and supported to implement the intervention.

A Theory on the Components of Depression Self-Management in Older Adults

Depression is the most prevalent mental illness in older adults and is expected to increase with population aging. Health care policy in higher income countries increasingly promotes the self-management of long-term conditions, including depression. Scant research has considered how older adults understand and practice self-management. In this article, we present the findings of a grounded theory study which sought to explain how older community-based adults experience and self-manage depression. Interviews and observations were conducted with 32 older adults with a formal diagnosis of moderate depression. Participants responded to a diagnosis of depression by Taking stock, Accessing support, and Reclaiming self-identity. Their efforts were influenced by perspectives on age and depression, access to the health care system, and individual capacity for self-management. Improved understanding of how to facilitate self-management strategies may enable older adults to remain independent and healthier for longer, while moderating the risk of a chronic condition worsening.