Psychological Resilience in Post-acute Care: A Cross-Sectional Study of Health Care Workers in Singapore Community Hospitals.

OBJECTIVES: Psychological resilience is a crucial component of mental health and well-being for health care workers. It is positively linked to compassion satisfaction and inversely associated with burnout. The current literature on health care worker resilience has mainly focused on primary care and tertiary hospitals, but there is a lack of studies in post-acute and transitional care settings. Our study aims to address this knowledge gap and evaluate the factors associated with psychological resilience among health care professionals working in community hospitals. DESIGN: Cross-sectional study. SETTING AND PARTICIPANTS: Physicians, nurses, rehabilitation therapists (consisting of physiotherapists, occupational therapists, and speech therapists), pharmacists, dietitians, and social workers in 2 community hospitals in Singapore. METHODS: Eligible health care workers were invited to fill in anonymous, self-reported questionnaires consisting of sociodemographic, lifestyle, and work-related factors together with the Connor-Davidson Resilience Scale (CD-RISC-10). Univariate analysis and multiple linear regression were conducted to study the relationship between each factor and resilience scores. RESULTS: A total of 574 responses were received, giving a response rate of 81.1%. The mean CD-RISC-10 score reported was 28.4. Multiple linear regression revealed that male gender (B = 1.49, P = .003), Chinese (B = -3.18, P < .001), active smokers (B = -3.82, P = .01), having perceived work crisis support (B = 2.95, P < .001), work purpose (B = 1.84, P = .002), job satisfaction (B = 1.01, P = .04), and work control (B = 2.53, P < .001) were significantly associated with psychological resilience scores among these health care workers. CONCLUSION AND IMPLICATIONS: Our study highlights the importance of certain individual and organizational factors that are associated with psychological resilience. These findings provide valuable insight into developing tailored interventions to foster resilience, such as strengthening work purpose and providing effective work crisis support, thus reducing burnout among health care workers in the post-acute care setting.

Exploring the Implementation of Shared Decision-Making Involving Health Coaches for Diabetes and Hypertension Self-Management: Qualitative Study.

BACKGROUND: An emerging focus on person-centered care has prompted the need to understand how shared decision-making (SDM) and health coaching could support self-management of diabetes and hypertension. OBJECTIVE: This study aims to explore preferences for the scope of involvement of health coaches and health care professionals (HCPs) in SDM and the factors that may influence optimal implementation of SDM from the perspectives of patients and HCPs. METHODS: We conducted focus group discussions with 39 patients with diabetes and hypertension and 45 HCPs involved in their care. The main topics discussed included the roles of health coaches and HCPs in self-management, views toward health coaching and SDM, and factors that should be considered for optimal implementation of SDM that involves health coaches. All focus group discussions were audio recorded, transcribed verbatim, and analyzed using thematic analysis. RESULTS: Participants agreed that the main responsibility of HCPs should be identifying the patient's stage of change and medication education, while health coaches should focus on lifestyle education, monitoring, and motivational conversation. The health coach was seen to be more effective in engaging patients in lifestyle education and designing goal management plans as health coaches have more time available to spend with patients. The importance of a health coach's personal attributes (eg, sufficient knowledge of both medical and psychosocial management of disease conditions) and credentials (eg, openness, patience, and empathy) was commonly emphasized. Participants viewed that addressing the following five elements would be necessary for the optimal implementation of SDM: (1) target population (newly diagnosed and less stable patients), (2) commitment of all stakeholders (discrepancy on targeted times and modality), (3) continuity of care (familiar faces), (4) philosophy of care (person-centered communication), and (5) faces of legitimacy (physician as the ultimate authority). CONCLUSIONS: The findings shed light on the appropriate roles of health coaches vis-à-vis HCPs in SDM as perceived by patients and HCPs. Findings from this study also contribute to the understanding of SDM on self-management strategies for patients with diabetes and hypertension and highlight potential opportunities for integrating health coaches into the routine care process.

How family physicians in Singapore recognise complexity during consultations: a qualitative study.

BACKGROUND: The prevalence of persons with complex needs in Singapore is rising. Poor understanding of what constitutes complexity impedes the identification of care gaps and development of interventions to improve care for these individuals. We aim to identify the characteristics contributing to complexity in primary care, from the Family Physicians' (FP) perspectives. METHODS: Focus group discussions (FGDs) were conducted from January to September 2021 with experienced FPs across 14 study sites, employing a qualitative descriptive approach based on a complexity framework. Data were coded independently and categorised using thematic analysis by two independent investigators. RESULTS: Five FGDs were conducted with 18 FPs aged 32 to 57 years old working in different primary care settings, with a mean of 13.5 years of primary care experience. Participants emphasised the need for a unified definition of complexity. Complexity is characterised by the presence of issues spanning across two or more domains (medical, psychological, social or behavioural) that adversely impact medical care and outcomes. Persons with complex needs contrast with persons with medically difficult issues. Medical domain issues include the number of active medical problems, poor chronic disease control, treatment interactions, ill-defined symptoms, management of end-of-life conditions and functional impairment. Psychological domain issues include the presence of mental health conditions or cognitive impairment. Social domain issues include the lack of social support, competing social responsibilities and financial issues, while behavioural domain issues include a lack of trust in healthcare workers, fixed health beliefs and poor health literacy. CONCLUSION: Recognising the medical, psychological, social and behavioural factors that contribute to complexity aids in discerning the diverse needs of individuals with complex needs. This underscores the need for additional support in these pertinent areas.

Experiences of a Community-Based Digital Intervention Among Older People Living in a Low-Income Neighborhood: Qualitative Study.

BACKGROUND: Older adults worldwide experienced heightened risks of depression, anxiety, loneliness, and poor mental well-being during the COVID-19 pandemic. During this period, digital technology emerged as a means to mitigate social isolation and enhance social connectedness among older adults. However, older adults' behaviors and attitudes toward the adoption and use of digital technology are heterogeneous and shaped by factors such as age, income, and education. Few empirical studies have examined how older adults experiencing social and economic disadvantages perceive the learning of digital tools. OBJECTIVE: This study aims to examine the motivations, experiences, and perceptions toward a community-based digital intervention among older adults residing in public rental flats in a low-income neighborhood. Specifically, we explored how their attitudes and behaviors toward learning the use of smartphones are shaped by their experiences related to age and socioeconomic challenges. METHODS: This study adopted a qualitative methodology. Between December 2020 and March 2021, we conducted semistructured in-depth interviews with 19 participants aged ≥60 years who had completed the community-based digital intervention. We asked participants questions about the challenges encountered amid the pandemic, their perceived benefits of and difficulties with smartphone use, and their experiences with participating in the intervention. All interviews were audio recorded and analyzed using a reflexive thematic approach. RESULTS: Although older learners stated varying levels of motivation to learn, most expressed ambivalence about the perceived utility and relevance of the smartphone to their current needs and priorities. While participants valued the social interaction with volunteers and the personalized learning model of the digital intervention, they also articulated barriers such as age-related cognitive and physical limitations and language and illiteracy that hindered their sustained use of these digital devices. Most importantly, the internalization of ageist stereotypes of being less worthy learners and the perception of smartphone use as being in the realm of the privileged other further reduced self-efficacy and interest in learning. CONCLUSIONS: To improve learning and sustained use of smartphones for older adults with low income, it is essential to explore avenues that render digital tools pertinent to their daily lives, such as creating opportunities for social connections and relationship building. Future studies should investigate the relationships between older adults' social, economic, and health marginality and their ability to access digital technologies. We recommend that the design and implementation of digital interventions should prioritize catering to the needs and preferences of various segments of older adults, while working to bridge rather than perpetuate the digital divide.

Acceptability of Mobile App-Based Motivational Interviewing and Preferences for App Features to Support Self-Management in Patients With Type 2 Diabetes: Qualitative Study.

BACKGROUND: Patients with type 2 diabetes mellitus (T2DM) experience multiple barriers to improving self-management. Evidence suggests that motivational interviewing (MI), a patient-centered communication method, can address patient barriers and promote healthy behavior. Despite the value of MI, existing MI studies predominantly used face-to-face or phone-based interventions. With the growing adoption of smartphones, automated MI techniques powered by artificial intelligence on mobile devices may offer effective motivational support to patients with T2DM. OBJECTIVE: This study aimed to explore the perspectives of patients with T2DM on the acceptability of app-based MI in routine health care and collect their feedback on specific MI module features to inform our future intervention. METHODS: We conducted semistructured interviews with patients with T2DM, recruited from public primary care clinics. All interviews were audio recorded and transcribed verbatim. Thematic analysis was conducted using NVivo. RESULTS: In total, 33 patients with T2DM participated in the study. Participants saw MI as a mental reminder to increase motivation and a complementary care model conducive to self-reflection and behavior change. Yet, there was a sense of reluctance, mainly stemming from potential compromise of autonomy in self-care by the introduction of MI. Some participants felt confident in their ability to manage conditions independently, while others reported already making changes and preferred self-management at their own pace. Compared with in-person MI, app-based MI was viewed as offering a more relaxed atmosphere for open sharing without being judged by health care providers. However, participants questioned the lack of human touch, which could potentially undermine a patient-provider therapeutic relationship. To sustain motivation, participants suggested more features of an ongoing supportive nature such as the visualization of milestones, gamified challenges and incremental rewards according to achievements, tailored multimedia resources based on goals, and conversational tools that are interactive and empathic. CONCLUSIONS: Our findings suggest the need for a hybrid model of intervention involving both app-based automated MI and human coaching. Patient feedback on specific app features will be incorporated into the module development and tested in a randomized controlled trial.

Empowering patients with comorbid diabetes and hypertension through a multi-component intervention of mobile app, health coaching and shared decision-making: Protocol for an effectiveness-implementation of randomised controlled trial.

INTRODUCTION: Diabetes and hypertension are prevalent and costly to the health system. We have developed a mobile app (EMPOWER app) which enables remote monitoring and education through personalised nudges. We aim to study the effectiveness of a multi-component intervention comprising the EMPOWER mobile app with health coaching and shared decision-making for diabetes and hypertension. METHODS: We will conduct a two-arm, open-label, pragmatic randomised controlled trial (RCT). Participants with comorbid diabetes and hypertension enrolled from public primary care clinics will be randomised to either intervention or control in a 1:1 ratio. The intervention group participants will have access to health coaching with shared decision-making interventions in addition to the EMPOWER app and their usual primary care. The control group participants will continue to receive usual primary care and will neither receive the EMPOWER app nor health coaching and shared decision-making interventions. Our primary outcome is change in HbA1c level over 9 months. Secondary outcomes include change in systolic blood pressure, quality of life, patient activation, medication adherence, physical activity level, diet, and healthcare cost (direct and indirect) over 9 months. DISCUSSION: Our trial will provide key insights into clinical- and cost-effectiveness of a multi-component intervention comprising EMPOWER mobile app, health coaching and shared decision-making in diabetes and hypertension management. This trial will also offer evidence on cost-effective and sustainable methods for promoting behavioural changes among patients with comorbid diabetes and hypertension. TRIAL REGISTRATION: This study was registered on clintrials.gov on August 3, 2022, with the trial registration number: NCT05486390.

Frameworks for measuring population health: A scoping review.

INTRODUCTION: Many regions in the world are using the population health approach and require a means to measure the health of their population of interest. Population health frameworks provide a theoretical grounding for conceptualization of population health and therefore a logical basis for selection of indicators. The aim of this scoping review was to provide an overview and summary of the characteristics of existing population health frameworks that have been used to conceptualize the measurement of population health. METHODS: We used the Population, Concept and Context (PCC) framework to define eligibility criteria of frameworks. We were interested in frameworks applicable for general populations, that contained components of measurement of health with or without its antecedents and applied at the population level or used a population health approach. Eligible reports of eligible frameworks should include at least domains and subdomains, purpose, or indicators. We searched 5 databases (Pubmed, EMBASE, Web of Science, NYAM Grey Literature Report, and OpenGrey), governmental and organizational sites on Google and websites of selected organizations using keywords from the PCC framework. Characteristics of the frameworks were summarized descriptively and narratively. RESULTS: Fifty-seven frameworks were included. The majority originated from the US (46%), Europe (23%) and Canada (19%). Apart from 1 framework developed for rural populations and 2 for indigenous populations, the rest were for general urban populations. The numbers of domains, subdomains and indicators were highly variable. Health status and social determinants of health were the most common domains across all frameworks. Different frameworks had different priorities and therefore focus on different domains. CONCLUSION: Key domains common across frameworks other than health status were social determinants of health, health behaviours and healthcare system performance. The results in this review serve as a useful resource for governments and healthcare organizations for informing their population health measurement efforts.

Artificial intelligence, ChatGPT, and other large language models for social determinants of health: Current state and future directions.

This perspective highlights the importance of addressing social determinants of health (SDOH) in patient health outcomes and health inequity, a global problem exacerbated by the COVID-19 pandemic. We provide a broad discussion on current developments in digital health and artificial intelligence (AI), including large language models (LLMs), as transformative tools in addressing SDOH factors, offering new capabilities for disease surveillance and patient care. Simultaneously, we bring attention to challenges, such as data standardization, infrastructure limitations, digital literacy, and algorithmic bias, that could hinder equitable access to AI benefits. For LLMs, we highlight potential unique challenges and risks including environmental impact, unfair labor practices, inadvertent disinformation or "hallucinations," proliferation of bias, and infringement of copyrights. We propose the need for a multitiered approach to digital inclusion as an SDOH and the development of ethical and responsible AI practice frameworks globally and provide suggestions on bridging the gap from development to implementation of equitable AI technologies.

Prevalence and factors associated with sarcopenia among older adults in a post-acute hospital in Singapore.

BACKGROUND: Sarcopenia is common in older adults worldwide, but its prevalence varies widely owing to differences in diagnostic criteria, population sampled, and care setting. We aimed to determine the prevalence and factors associated with sarcopenia in patients aged 65 and above admitted to a post-acute hospital in Singapore. METHODS: This was a cross-sectional study of 400 patients recruited from a community hospital in Singapore. Data including socio-demographics, physical activity, nutritional status, cognition, clinical and functional status, as well as anthropometric measurements were collected. Sarcopenia was defined using the Asian Working Group for Sarcopenia 2019 criteria [AWGS2019]. RESULTS: Of the 383 patients with complete datasets, overall prevalence of sarcopenia was 54% while prevalence of severe sarcopenia was 38.9%. Participants with increased age, male gender and a low physical activity level were more likely to be sarcopenic, while those with higher hip circumference and higher BMI of ≥27.5m/kg2 were less likely to be sarcopenic. Other than the above-mentioned variables, cognitive impairment was also associated with severe sarcopenia. CONCLUSIONS: More than 1 in 2 older adults admitted to a post-acute hospital in Singapore are sarcopenic. There is an urgent need to address this important clinical syndrome burden and to identify patients at risk of sarcopenia in post-acute settings in Singapore for early intervention.

Lessons learned from the hospital to home community care program in Singapore and the supporting AI multiple readmissions prediction model.

In a prior practice and policy article published in Healthcare Science, we introduced the deployed application of an artificial intelligence (AI) model to predict longer-term inpatient readmissions to guide community care interventions for patients with complex conditions in the context of Singapore's Hospital to Home (H2H) program that has been operating since 2017. In this follow on practice and policy article, we further elaborate on Singapore's H2H program and care model, and its supporting AI model for multiple readmission prediction, in the following ways: (1) by providing updates on the AI and supporting information systems, (2) by reporting on customer engagement and related service delivery outcomes including staff-related time savings and patient benefits in terms of bed days saved, (3) by sharing lessons learned with respect to (i) analytics challenges encountered due to the high degree of heterogeneity and resulting variability of the data set associated with the population of program participants, (ii) balancing competing needs for simpler and stable predictive models versus continuing to further enhance models and add yet more predictive variables, and (iii) the complications of continuing to make model changes when the AI part of the system is highly interlinked with supporting clinical information systems, (4) by highlighting how this H2H effort supported broader Covid-19 response efforts across Singapore's public healthcare system, and finally (5) by commenting on how the experiences and related capabilities acquired from running this H2H program and related community care model and supporting AI prediction model are expected to contribute to the next wave of Singapore's public healthcare efforts from 2023 onwards. For the convenience of the reader, some content that introduces the H2H program and the multiple readmissions AI prediction model that previously appeared in the prior Healthcare Science publication is repeated at the beginning of this article.

An approach to managing patients with complex Co-morbidites for family physicians: the SBAR4 model

Providing comprehensive and continuing care to patients is the forte of family physicians. The burden of providing such care to patients with complicated co-morbidities is increasing rapidly in ageing populations. Primary care systems around the world are ill equipped to face such a challenge. Family physicians need to hone their skills in this area of care. In this article, we introduce the SBAR4 model and propose it as a framework for managing patients with complex co-morbidities. This model is easy to learn and use by family physicians as it is based on the familiar SBAR model of clinical communication and Pendleton’s 7 Tasks of consultation. We believe that the SBAR4 will assist the clinician to assess patients with complex co-morbidities and map out a comprehensive care plan that can be easily understood by a multidisciplinary team caring for such patients.

Using the SBAR4 model for management of a patient with complex comorbidites in the home care setting - A case study

This home care case illustrates how the SBAR4 model can be used for a complex patient during a transitional care period to define the active problems at hand and the conditions needed to ensure successful outcomes of the management plans. Two home visits are described in this article: first, a home visit done after multiple hospital admissions for fluid overload and congestive cardiac failure; and second, a subsequent visit done after a fall with a resultant clavicle fracture impacting patient’s function and self-care abilities

Care Transitions in Complex Patients

Healthcare delivery is transforming from hospital-centric episodic care to a more patient-centric comprehensive and continuing care that caters to the changing needs of an ageing population and finite healthcare resources. The transition period during which patients move between healthcare settings is a period of vulnerability that requires well-executed care transitions. The relatively less-developed primary, intermediate and long-term care sector further underlines the importance of good transitional care. This article serves to introduce Family Physicians to the importance of transitional care, its broad concepts and a simple framework to help manage complex patients comprehensively in any Family Medicine practice setting.

Discharge Planning from the Hospital to the Primary Care Clinic

Discharge planning is an integral component of transitional care. Patients need to have their care needs assessed early in the admission to put in place a robust care plan that can meet the medical, functional, and social needs of the patient. The care plan must then be clearly communicated to the next care provider as well as the patient and his caregiver to avoid gaps during transition across different settings and providers. For patients with complex care needs in the community, an intensive form of primary care far beyond what is offered in traditional primary care is needed. This can be achieved by being connected to the health system and resources, additional efforts in providing the care coordination to navigate the health system, and optimising clinical and social care around the patient’s needs.

Engaging the Family, The Family Conference

Family engagement should be part of a holistic management of any patient. This is especially so in patients who have an acute change in their health condition or function that stresses their social setup. Conducting a family conference is one of the many ways to engage patients and their caregivers and address their bio-psycho-social needs. It is a focused and purposeful approach that engages every member of the health care team and family members in facilitating a common understanding and decision-making with the aim of improving patient care and outcome. A family conference is resource intensive, and should be planned well to maximise the goals that it was set out to achieve. This article was written as a primer to help family physicians understand the indications, preparations needed, and steps to take in conducting a family conference. To facilitate a family conference confidently is a skill and an art that requires practice and constant refinement.

Wound Healing

Wound healing is achieved through four coordinated and overlapping phases, 1) haemostasis, 2) inflammatory, 3) proliferative and 4) remodelling. This complex process can be disrupted by local or systemic risk factors, resulting in delayed healing and progression to a chronic wound. Chronic wounds interact closely with a patient’s comorbid illnesses, social circumstances and functional status. The Family Physician plays an important role to optimise patient and wound risk factors that impair wound healing. Strategies to enhance wound healing include optimising local wound care based on TIME principles, identification and optimising the underlying causes for poor wound healing and education to the patients and their caregivers in wound care, dressing changes and avoidance of risk factors to prevent recurrence. Complex chronic wound care may need a multi-disciplinary approach involving allied health members to provide additional nutritional, nursing and psychosocial support. There is a role for adjuvants such as hyperbaric oxygen therapy and platelet derived growth factor gels to enhance healing in certain wounds but stronger evidence is required to support its routine use.