Randomised pilot study comparing a coach to SMARTPhone reminders to aid the management of heart failure (HF) patients: humans or machines.

Ambulatory management of congestive heart failure (HF) continues to be a challenging clinical problem. Recent studies have focused on the role of HF clinics, nurse practitioners and disease management programmes to reduce HF readmissions. This pilot study is a pragmatic factorial study comparing a coach intervention, a SMARTPHONE REMINDER system intervention and BOTH interventions combined to Treatment as USUAL (TAU). We determined that both modalities were acceptable to patients prior to randomisation. Fifty-four patients were randomised to the four groups. The COACH group had no readmissions for HF 6 months after enrolment compared with 18% for the SMARTPHONE REMINDER Group, 8% for the BOTH intervention group and 13% for TAU. Medium-to-high medication adherence was maintained in all four groups although sodium consumption was lower at 3 months for the COACH and combined (BOTH) groups. This pilot study suggests a beneficial effect on rehospitalisation with the use of support measures including coaches and telephone reminders that needs confirmation in a larger trial.

Telemedicine in Improving Glycemic Control Among Children and Adolescents With Type 1 Diabetes Mellitus: Systematic Review and Meta-Analysis.

BACKGROUND: Type 1 diabetes mellitus (T1DM) is the most common chronic autoimmune disease among children and adolescents. Telemedicine has been widely used in the field of chronic disease management and can benefit patients with T1DM. However, existing studies lack high-level evidence related to the effectiveness of telemedicine for glycemic control in children and adolescents with T1DM. OBJECTIVE: This study aims to systematically review the evidence on the effectiveness of telemedicine interventions compared with usual care on glycemic control among children and adolescents with T1DM. METHODS: In this systematic review and meta-analysis, we searched PubMed, Cochrane Library, Embase, Web of Science (all databases), and CINAHL Complete from database inception to May 2023. We included randomized controlled trials (RCTs) that evaluated the effectiveness of a telemedicine intervention on glycemic control in children and adolescents with T1DM. In total, 2 independent reviewers performed the study selection and data extraction. Study quality was assessed using the Cochrane Risk of Bias 2 tool. Our primary outcome was glycated hemoglobin (HbA1c) levels. Secondary outcomes were quality of life, self-monitoring of blood glucose, the incidence of hypoglycemia, and cost-effectiveness. A random-effects model was used for this meta-analysis. RESULTS: Overall, 20 RCTs (1704 participants from 12 countries) were included in the meta-analysis. Only 5% (1/20) of the studies were at high risk of bias. Compared to usual care, telemedicine was found to reduce HbA1c levels by 0.22 (95% CI -0.33 to -0.10; P<.001; I2=35%). There was an improvement in self-monitoring of blood glucose (mean difference [MD] 0.54, 95% CI -0.72 to 1.80; P=.40; I2=67.8%) and the incidence of hypoglycemia (MD -0.15, 95% CI -0.57 to 0.27; P=.49; I2=70.7%), although this was not statistically significant. Moreover, telemedicine had no convincing effect on the Diabetes Quality of Life for Youth score (impact of diabetes: P=.59; worries about diabetes: P=.71; satisfaction with diabetes: P=.68), but there was a statistically significant improvement in non-youth-specific quality of life (MD -0.24, 95% CI -0.45 to -0.02; P=.04; I2=0%). Subgroup analyses revealed that the effect of telemedicine on HbA1c levels appeared to be greater in studies involving children (MD -0.41, 95% CI -0.62 to -0.20; P<.001), studies that lasted <6 months (MD -0.32, 95% CI -0.48 to -0.17; P<.001), studies where providers used smartphone apps to communicate with patients (MD -0.37, 95% CI -0.53 to -0.21; P<.001), and studies with medication dose adjustment (MD -0.25, 95% CI -0.37 to -0.12; P<.001). CONCLUSIONS: Telemedicine can reduce HbA1c levels and improve quality of life in children and adolescents with T1DM. Telemedicine should be regarded as a useful supplement to usual care to control HbA1c levels and a potentially cost-effective mode. Meanwhile, researchers should develop higher-quality RCTs using large samples that focus on hard clinical outcomes, cost-effectiveness, and quality of life.

Leveraging Machine Learning to Develop Digital Engagement Phenotypes of Users in a Digital Diabetes Prevention Program: Evaluation Study.

BACKGROUND: Digital diabetes prevention programs (dDPPs) are effective "digital prescriptions" but have high attrition rates and program noncompletion. To address this, we developed a personalized automatic messaging system (PAMS) that leverages SMS text messaging and data integration into clinical workflows to increase dDPP engagement via enhanced patient-provider communication. Preliminary data showed positive results. However, further investigation is needed to determine how to optimize the tailoring of support technology such as PAMS based on a user's preferences to boost their dDPP engagement. OBJECTIVE: This study evaluates leveraging machine learning (ML) to develop digital engagement phenotypes of dDPP users and assess ML's accuracy in predicting engagement with dDPP activities. This research will be used in a PAMS optimization process to improve PAMS personalization by incorporating engagement prediction and digital phenotyping. This study aims (1) to prove the feasibility of using dDPP user-collected data to build an ML model that predicts engagement and contributes to identifying digital engagement phenotypes, (2) to describe methods for developing ML models with dDPP data sets and present preliminary results, and (3) to present preliminary data on user profiling based on ML model outputs. METHODS: Using the gradient-boosted forest model, we predicted engagement in 4 dDPP individual activities (physical activity, lessons, social activity, and weigh-ins) and general activity (engagement in any activity) based on previous short- and long-term activity in the app. The area under the receiver operating characteristic curve, the area under the precision-recall curve, and the Brier score metrics determined the performance of the model. Shapley values reflected the feature importance of the models and determined what variables informed user profiling through latent profile analysis. RESULTS: We developed 2 models using weekly and daily DPP data sets (328,821 and 704,242 records, respectively), which yielded predictive accuracies above 90%. Although both models were highly accurate, the daily model better fitted our research plan because it predicted daily changes in individual activities, which was crucial for creating the "digital phenotypes." To better understand the variables contributing to the model predictor, we calculated the Shapley values for both models to identify the features with the highest contribution to model fit; engagement with any activity in the dDPP in the last 7 days had the most predictive power. We profiled users with latent profile analysis after 2 weeks of engagement (Bayesian information criterion=-3222.46) with the dDPP and identified 6 profiles of users, including those with high engagement, minimal engagement, and attrition. CONCLUSIONS: Preliminary results demonstrate that applying ML methods with predicting power is an acceptable mechanism to tailor and optimize messaging interventions to support patient engagement and adherence to digital prescriptions. The results enable future optimization of our existing messaging platform and expansion of this methodology to other clinical domains. TRIAL REGISTRATION: ClinicalTrials.gov NCT04773834; https://www.clinicaltrials.gov/ct2/show/NCT04773834. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/26750.

Disparities in diabetes processes of care among people experiencing homelessness: An opportunity for intervention.

AIMS: To compare processes of diabetes care by homeless status. METHODS: A population-based propensity matched cohort study was conducted in Ontario, Canada. People with diabetes were identified in administrative healthcare data between April 2006 and March 2019. Those with a documented history of homelessness were matched to non-homeless controls. Data on processes of care measures included glucose monitoring tests, screening for microvascular complications, and physician follow-up. Differences in processes of care were compared by homeless status using proportions, risk ratios, and rate ratios. RESULTS: Of the 1,076,437 people with diabetes, 5219 matched pairs were identified. Homelessness was associated with fewer tests for glycated hemoglobin (RR = 0.63; 95 %CI: 0.60-0.67), LDL cholesterol (RR = 0.80; 95 %CI: 0.78-0.82), serum creatinine (RR = 0.94; 95 %CI: 0.92-0.97), urine protein quantification (RR = 0.62; 95 %CI: 0.59-0.66), and eye examinations (RR = 0.74; 95 %CI: 0.71-0.77). People with a history of homelessness were less likely to use primary care for diabetes management (RR = 0.62; 95 %CI: 0.59-0.66) or specialist care (RR = 0.87; 95 %CI: 0.83-0.91) compared to non-homeless controls. CONCLUSIONS: Disparities in diabetes care are evident for people with a history of homelessness and contribute to excess morbidity in this population. These data provide an impetus for investment in tailored interventions to improve healthcare equity and prevent long-term complications.

Effect of Implementing an Informatization Case Management Model on the Management of Chronic Respiratory Diseases in a General Hospital: Retrospective Controlled Study.

Background: The use of chronic disease information systems in hospitals and communities plays a significant role in disease prevention, control, and monitoring. However, there are several limitations to these systems, including that the platforms are generally isolated, the patient health information and medical resources are not effectively integrated, and the "Internet Plus Healthcare" technology model is not implemented throughout the patient consultation process. Objective: The aim of this study was to evaluate the efficiency of the application of a hospital case management information system in a general hospital in the context of chronic respiratory diseases as a model case. Methods: A chronic disease management information system was developed for use in general hospitals based on internet technology, a chronic disease case management model, and an overall quality management model. Using this system, the case managers provided sophisticated inpatient, outpatient, and home medical services for patients with chronic respiratory diseases. Chronic respiratory disease case management quality indicators (number of managed cases, number of patients accepting routine follow-up services, follow-up visit rate, pulmonary function test rate, admission rate for acute exacerbations, chronic respiratory diseases knowledge awareness rate, and patient satisfaction) were evaluated before (2019-2020) and after (2021-2022) implementation of the chronic disease management information system. Results: Before implementation of the chronic disease management information system, 1808 cases were managed in the general hospital, and an average of 603 (SD 137) people were provided with routine follow-up services. After use of the information system, 5868 cases were managed and 2056 (SD 211) patients were routinely followed-up, representing a significant increase of 3.2 and 3.4 times the respective values before use (U=342.779; P<.001). With respect to the quality of case management, compared to the indicators measured before use, the achievement rate of follow-up examination increased by 50.2%, the achievement rate of the pulmonary function test increased by 26.2%, the awareness rate of chronic respiratory disease knowledge increased by 20.1%, the retention rate increased by 16.3%, and the patient satisfaction rate increased by 9.6% (all P<.001), while the admission rate of acute exacerbation decreased by 42.4% (P<.001) after use of the chronic disease management information system. Conclusions: Use of a chronic disease management information system improves the quality of chronic respiratory disease case management and reduces the admission rate of patients owing to acute exacerbations of their diseases.

Assessment of a systematic approach for implementing novel medications in clinical practice: an observational study with dapagliflozin.

OBJECTIVE: To assess a systematic implementation approach for introducing dapagliflozin to individuals with heart failure and reduced ejection fraction in an outpatient clinical setting. METHODS: Retrospective medical record data were analysed. All individuals diagnosed with heart failure who resided within the hospital catchment area and had visited cardiology or internal medicine department between 2010 and 2019 were screened by using the main inclusion criteria from the DAPA-HF trial. The effectiveness of the previously described seven-step systematic implementation approach was assessed by the proportion receiving information letter, dapagliflozin treatment, follow-ups at 2-12 weeks and 12 months post-dapagliflozin initiation, persistence on dapagliflozin, adverse events, and reasons for discontinuation. RESULTS: Of the 2433 individuals, 352 met the main DAPA-HF trial criteria in step 2. After exclusions in steps 3 and 4, 191 individuals remained. Of these, 158 were invited for eligibility discussion in step 5, with 107 having received an information letter beforehand. In step 6, dapagliflozin was prescribed to 69 individuals, and in step 7, follow-ups were conducted with 56 individuals at 2-12 weeks and 62 individuals at 12 months. Sixty out of 69 persisted on dapagliflozin after 12 months. Adverse events were reported by nine individuals. Discontinuation was attributed to reasons such as urinary tract infections, genital or abdominal discomfort, and hypotension. CONCLUSION: The systematic introduction of dapagliflozin to heart failure patients was effective. Despite this, challenges in uniformly implementing procedures across patients were evident, emphasizing the necessity for a systematic implementation approach.

Using the Translating Research into Practice framework to develop a diabetes prevention intervention in primary care: a mixed-methods study.

BACKGROUND: Pre-diabetes affects one-third of US adults and increases the risk of type 2 diabetes. Effective evidence-based interventions, such as the Diabetes Prevention Program, are available, but a gap remains in effectively translating and increasing uptake of these interventions into routine care. METHODS: We applied the Translating Research into Practice (TRiP) framework to guide three phases of intervention design and development for diabetes prevention: (1) summarise the evidence, (2) identify local barriers to implementation and (3) measure performance. In phase 1, we conducted a retrospective cohort analysis of linked electronic health record claims data to evaluate current practices in the management of pre-diabetes. In phase 2, we conducted in-depth interviews of 16 primary care physicians, 7 payor leaders and 31 patients to elicit common barriers and facilitators for diabetes prevention. In phase 3, using findings from phases 1 and 2, we developed the core elements of the intervention and performance measures to evaluate intervention uptake. RESULTS: In phase 1 (retrospective cohort analysis), we found few patients with pre-diabetes received diabetes prevention interventions. In phase 2 (stakeholder engagement), we identified common barriers to include a lack of knowledge about pre-diabetes among patients and about the Diabetes Prevention Program among clinicians. In phase 3 (intervention development), we developed the START Diabetes Prevention Clinical Pathway as a systematic change package to address barriers and facilitators identified in phases 1 and 2, performance measures and a toolkit of resources to support the intervention components. CONCLUSIONS: The TRiP framework supported the identification of evidence-based care practices for pre-diabetes and the development of a well-fitted, actionable intervention and implementation plan designed to increase treatment uptake for pre-diabetes in primary care settings. Our change package can be adapted and used by other health systems or clinics to target prevention of diabetes or other related chronic conditions.

Self-care behaviours of first-generation Chinese immigrants living with cardiovascular disease: A qualitative study.

AIM: To identify and describe self-care behaviours performed by Chinese immigrants living with cardiovascular disease in Australia, and factors perceived as barriers and facilitators to evidence-based cardiac self-care. DESIGN: A qualitative descriptive design. METHODS: Individual semi-structured phone interviews were conducted among participants meeting the following criteria: (1) first-generation Chinese immigrants to Australia, born in Mainland China, Hong Kong, Macao or Taiwan; (2) Australian permanent residents or citizens; (3) self-reported or medically diagnosed with coronary heart disease, stroke or heart failure; (4) able to speak English or Mandarin; (5) able to provide informed consent, excluding those with history or evidence of impaired cognition such as dementia. Participants were recruited via social media, Chinese community associations and medical centres from September 2021 to June 2022. Data were analysed using inductive and deductive thematic analysis, guided by the Middle-Range Theory of Self-Care of Chronic Illness. The study was reported in line with the COREQ checklist. RESULTS: Twenty participants were interviewed, 60% female, mean age 69.9 years. Most migrated to Australia at older age following their retirement in China; most had limited English proficiency. Many practiced adequate self-care for their CVD in self-care maintenance and monitoring. Variously, they adopted heart-healthy diets, developed exercise routines, attended medical services and closely monitored their body signs and symptoms. However, self-adjusting medications, taking Traditional Chinese Medicine and self-administering health supplements were prevalent practices and first-response management of acute cardiac symptoms was suboptimal. Linguistic and cultural barriers to obtaining mainstream heart health information meant most participants resorted to informal, anecdotal and mainland Chinese sources. CONCLUSION: Diverse factors were held responsible for sub-optimal self-care behaviours but lack of access to linguistically and culturally appropriate heart health information was widely blamed. Linguistically and culturally appropriate community-based heart health education programmes are urgently needed, targeting healthy lifestyle modification, medication literacy and cardiac symptom management. IMPACT: Study findings can be used to improve cardiac nurses' cultural sensitivity and practices targeting Chinese immigrants. Partnering with Chinese community associations offers health service providers and policymakers an innovative route to co-design and deliver targeted heart health education interventions and support for this population. PUBLIC CONTRIBUTION: Chinese community centre managers contributed to data collection by supporting participant recruitment.

Strategies for General Practitioners to Enhance Cancer Care: Insights from a Patient-Centered Questionnaire Survey in Southern China.

Background: The incidence of cancer is increasing, and cancer survivors are also growing exponentially. Cancer is defined as a new chronic disease. Nevertheless, the management of cancer in the form of chronic diseases in China is still in its infancy, without a standardized care model. Objective: This study aimed to explore the current status of management of cancer care from the patient's perspective. Methods: This cross-sectional study was a questionnaire survey of patients diagnosed with cancer, including information of the current situation of daily medical consultation, status of comorbidity, and expectations of seeking cancer care in future. Chi-square test and logistic regression analysis were used to explore the factors influencing patients' choice of cancer management mode. Results: A total of 200 cancer patients were included in the study. The majority (n = 150) of cancer patients chose an oncologist in a tertiary hospital for cancer care. Difficulty in registration (45%), time-consuming (34.5%), repeated examinations (34.5%) and different treatment opinions (12.0%) were the main difficulties they encountered currently during tertiary hospital visits. In community hospital, lack of trust in general practitioners (n = 33) and the necessary drugs or testing items in community hospitals (n = 47) were the main difficulties during their visits. Logistic regression analysis showed that male (OR = 2.737, 95% CI, 1.332-5.627, p = 0.006) and elderly patients (OR = 3.186, 95% CI, 1.172-8.661, p = 0.023) were more likely to choose general practitioners (GPs) in community hospitals. Twenty-nine (14.5%) patients hope to have an integrated multidisciplinary management in tertiary and community hospitals with the active participation of GPs for cancer care. Conclusion: Improving drug availability, equipment and quality of cancer care services can help to increase cancer patients' recognition of community hospital. In addition, the multidisciplinary management integrated tertiary hospitals and communities with the participation of GPs is a worth exploring mode that improves the management of cancer care.

Primary care payment models and avoidable hospitalizations in Ontario, Canada: A multivalued treatment effects analysis.

Improving access to primary care physicians' services may help reduce hospitalizations due to Ambulatory Care Sensitive Conditions (ACSCs). Ontario, Canada's most populous province, introduced blended payment models for primary care physicians in the early- to mid-2000s to increase access to primary care, preventive care, and better chronic disease management. We study the impact of payment models on avoidable hospitalizations due to two incentivized ACSCs (diabetes and congestive heart failure) and two non-incentivized ACSCs (angina and asthma). The data for our study came from health administrative data on practicing primary care physicians in Ontario between 2006 and 2015. We employ a two-stage estimation strategy on a balanced panel of 3710 primary care physicians (1158 blended-fee-for-service (FFS), 1388 blended-capitation models, and 1164 interprofessional team-based practices). First, we account for the differences in physician practices using a generalized propensity score based on a multinomial logit regression model, corresponding to three primary care payment models. Second, we use fractional regression models to estimate the average treatment effects on the treated outcome (i.e., avoidable hospitalizations). The capitation-based model sometimes increases avoidable hospitalizations due to angina (by 7 per 100,000 patients) and congestive heart failure (40 per 100,000) relative to the blended-FFS-based model. Switching capitation physicians into interprofessional teams mitigates this effect, reducing avoidable hospitalizations from congestive heart failure by 30 per 100,000 patients and suggesting better access to primary care and chronic disease management in team-based practices.

Design, implementation and usability analysis of patient empowerment in ADLIFE project via patient reported outcome measures and shared decision making.

INTRODUCTION: This paper outlines the design, implementation, and usability study results of the patient empowerment process for chronic disease management, using Patient Reported Outcome Measurements and Shared Decision-Making Processes. BACKGROUND: The ADLIFE project aims to develop innovative, digital health solutions to support personalized, integrated care for patients with severe long-term conditions such as Chronic Obstructive Pulmonary Disease, and/or Chronic Heart Failure. Successful long-term management of patients with chronic conditions requires active patient self-management and a proactive involvement of patients in their healthcare and treatment. This calls for a patient-provider partnership within an integrated system of collaborative care, supporting self-management, shared-decision making, collection of patient reported outcome measures, education, and follow-up. METHODS: ADLIFE follows an outcome-based and patient-centered approach where PROMs represent an especially valuable tool to evaluate the outcomes of the care delivered. We have selected 11 standardized PROMs for evaluating the most recent patients' clinical context, enabling the decision-making process, and personalized care planning. The ADLIFE project implements the "SHARE approach' for enabling shared decision-making via two digital platforms for healthcare professionals and patients. We have successfully integrated PROMs and shared decision-making processes into our digital toolbox, based on an international interoperability standard, namely HL7 FHIR. A usability study was conducted with 3 clinical sites with 20 users in total to gather feedback and to subsequently prioritize updates to the ADLIFE toolbox. RESULTS: User satisfaction is measured in the QUIS7 questionnaire on a 9-point scale in the following aspects: overall reaction, screen, terminology and tool feedback, learning, multimedia, training material and system capabilities. With all the average scores above 6 in all categories, most respondents have a positive reaction to the ADLIFE PEP platform and find it easy to use. We have identified shortcomings and have prioritized updates to the platform before clinical pilot studies are initiated. CONCLUSIONS: Having finalized design, implementation, and pre-deployment usability studies, and updated the tool based on further feedback, our patient empowerment mechanisms enabled via PROMs and shared decision-making processes are ready to be piloted in clinal settings. Clinical studies will be conducted based at six healthcare settings across Spain, UK, Germany, Denmark, and Israel.

Food prescribing in Canada: evidence, critiques and opportunities. / La prescription alimentaire au Canada : données probantes, critiques et possibilités.

INTRODUCTION: There is growing interest in food prescriptions, which leverage health care settings to provide patients access to healthy foods through vouchers or food boxes. In this commentary, we draw on our experiences and interest in food prescribing to provide a summary of the current evidence on this intervention model and critically assess its limitations and opportunities. RATIONALE: Food insecurity is an important determinant of health and is associated with compromised dietary adequacy, higher rates of chronic diseases, and higher health service utilization and costs. Aligning with recent discourse on social prescribing and "food is medicine" approaches, food prescribing can empower health care providers to link patients with supports to improve food access and limit barriers to healthy diets. Food prescribing has been shown to improve fruit and vegetable intake and household food insecurity, although impacts on health outcomes are inconclusive. Research on food prescribing in the Canadian context is limited and there is a need to establish evidence of effectiveness and best practices. CONCLUSION: As food prescribing continues to gain traction in Canada, there is a need to assess the effectiveness, cost-efficiency, limitations and potential paternalism of this intervention model. Further, it is necessary to assess how food prescribing fits into broader social welfare systems that aim to address the underlying determinants of food insecurity.

Characterizing the Impact of the Covid-19 Pandemic on Adults with Autosomal Dominant Polycystic Kidney Disease: A Cross-Sectional Study.

Background: The Covid-19 pandemic greatly affected those with chronic diseases, impacting healthcare access and healthcare seeking behaviors. The impact of the pandemic on adults with Autosomal Dominant Polycystic Kidney Disease (ADPKD) has not been investigated. Methods: Participants were recruited from a cohort of 239 ADPKD patients enrolled in a longitudinal study at the University of Maryland. Patients on renal replacement therapy were excluded. N = 66 patients participated in a phone questionnaire from June 2022-December 2022 about ADPKD-related complications, concern about contracting Covid-19, healthcare-seeking behaviors, and telehealth utilization before and after March 2020. Results: N = 34 (51.5%) of participants reported a positive Covid-19 test result and N = 29 (44%) expressed high concern of contracting Covid-19. Those who avoided medical care at least once (N = 17, 25.8%) had similar demographics and ADPKD severity to those who did not, but reported greater telehealth utilization (88.2% vs. 42.9%, p = 0.002), greater use of non-prescribed medication for Covid-19 treatment or prevention (35.3% vs. 8.2%, p = 0.01), and were more likely to contract Covid-19 (76.5% vs. 42.9%, p = 0.02). Among the N = 53 who reported very good or excellent ADPKD disease management pre-pandemic, N = 47(89%) reported no significant change during the pandemic. Conclusions: In this highly educated, high-income cohort with a mean age of 46.1 years, most people reported well-managed ADPKD prior to the pandemic. This may explain why less than half of participants expressed high concern for contracting Covid-19. Overall, there was no significant pandemic-related decline in self-reported ADPKD management, like due to excellent access to, and uptake of, telehealth services. Notably, 1 in 4 participants reported healthcare avoidant behavior, the effect of which may only be seen years from now. Future studies should investigate potential impacts of avoidant behaviors, as well as expand investigation to a more diverse cohort whose care may not have been as easily transitioned to telehealth.

The impact of time-restricted eating on health-related quality of life: a systematic literature review.

CONTEXT: Time-restricted eating (TRE) is a novel dietary intervention shown to facilitate weight loss and improve metabolic health. However, like any dietary intervention, long-term success largely depends on individual adherence, which can be influenced by whether the intervention impacts the individual's health-related quality of life (HR-QoL). Despite the growing body of research investigating TRE as a dietary approach and its potential impact on HR-QoL in adults, to date there has been no systematic review to summarize these findings. OBJECTIVE: To examine the impact of TRE on HR-QoL in adults. DATA SOURCES: All randomized controlled trials, pre-post and pilot/feasibility studies were searched in PubMed, EMBASE via Ovid, CINAHL, Cochrane Library, and PsycINFO via Ovid until March 20, 2023. DATA EXTRACTION: Two researchers were involved in the screening and paper selection process. A single researcher extracted all relevant data from eligible studies. CONCLUSION: Overall, 10 studies were eligible for inclusion in this systematic review. Four studies reported improvements in overall HR-QoL scores among participants with type 2 diabetes, middle-aged women with obesity, generally healthy adults, and generally healthy adult employees. Three studies reported significant and nonsignificant improvements in some domains of HR-QoL assessment tools among overweight, sedentary older adults, overweight or obese adults, and 24-hour shift workers. No studies reported that TRE adversely affected HR-QoL. Improvements in HR-QoL appeared to occur primarily at 12 weeks/3 months. There was no clear relationship between HR-QoL scores and TRE protocol, additional study outcomes, participant health status, age, or adherence. Although further research is required to elucidate the impact of TRE on HR-QoL, the findings reveal that no studies show that TRE adversely affects HR-QoL. SYSTEMATIC REVIEW REGISTRATION: Open Science Framework (OSF) (The Impact of Time-Restricted Eating on Health-Related Quality of Life: A Systematic Review; https://doi.org/10.17605/OSF.IO/9NK45).

Perception of middle-aged and older adults towards mHealth apps: A comparative factor analysis between Australia and Germany.

OBJECTIVE: Although evidence of the global effectiveness and usability of mobile health (mHealth) apps as non-drug interventions is growing, older adults often demonstrate low adoption rates of these apps. This study aims to identify the perspectives of older adults on introducing and adopting mHealth apps in Australia and Germany. MATERIALS AND METHODS: We conducted two online cross-sectional surveys to examine factors from contextual, technological and personal perspectives that influence older adults in mHealth app adoption. Using descriptive statistics, chi-square tests and exploratory factor analysis, we identified the differences and similarities between respondents' perspectives across two countries. RESULTS: A total of 290 respondents (149, Australia; 141, Germany) completed the survey. Older adults' ability to use a mHealth app, the user-friendliness of the app, their positive self-efficacy regarding their health and resource availability for using mHealth apps were related to intended adoption. Differences between Germany and Australia were found in issues concerned with data sharing and empowerment by the doctor, while similarities were related to trust in the doctor and their treatment approaches. DISCUSSION AND CONCLUSION: This study highlights participants' perspectives and attitudes towards mHealth app use, unmet needs and barriers, and the facilitating influences in the two countries. These insights can be used to inform the development and implementation of mHealth apps and to construct tailored strategies to increase the adoption rates of mHealth apps among older adults and to maximise their potential benefits.

Breaking barriers: assessing the impact of clinical quality improvements on reducing health disparities in hypertension care among Mumbai's urban slums.

The clinical quality improvement initiatives, led by the organisation's Health Equity Working Group (HEWG), aim to support healthcare providers to provide equitable, quality hypertension care worldwide. After coordinating with the India team, we started monitoring the deidentified patient data collected through electronic health records between January and May 2021. After stratifying data by age, sex and residence location, the team found an average of 55.94% of our hypertensive patients control their blood pressure, with an inequity of 11.91% between male and female patients.The objective of this study was to assess the effectiveness of using clinical quality improvement to improve hypertension care in the limited-resourced, mobile healthcare setting in Mumbai slums. We used the model for improvement, developed by Associates in Process Improvement. After 9-month Plan-Do-Study-Act (PDSA) cycles, the average hypertensive patients with controlled blood pressure improved from 55.94% to 89.86% at the endpoint of the initiative. The gender gap reduced significantly from 11.91% to 2.19%. We continued to monitor the blood pressure and found that the average hypertensive patients with controlled blood pressure remained stable at 89.23% and the gender gap slightly increased to 3.14%. Hypertensive patients have 6.43 times higher chance of having controlled blood pressure compared with the preintervention after the 9-month intervention (p<0.001).This paper discusses the efforts to improve hypertension care and reduce health inequities in Mumbai's urban slums. We highlighted the methods used to identify and bridge health inequity gaps and the testing of PDSA cycles to improve care quality and reduce disparities. Our findings have shown that clinical quality improvement initiatives and the PDSA cycle can successfully improve health outcomes and decrease gender disparity in the limited-resource setting.

Impact of Risk Stratification in Patients With Diabetes Mellitus in a Health System Specialty Pharmacy Setting.

Background: Integrated pharmacist care into health systems results in significant A1c reduction and improved outcomes in patients with diabetes. However, little is known about the adoption of Health System Specialty Pharmacy (HSSP) chronic disease management (CDM) services within diabetes clinics. Risk stratification is proven to enhance care in various patient populations. Objective: The objective of this study is to describe how the implementation of risk stratification in the HSSP setting results in optimized patient outcomes in diabetes. Method: This is a retrospective descriptive study reporting the results of expanding the HSSP care model to implement risk stratified CDM services for patients with diabetes. A total of 285 patients were enrolled in the HSSP CDM pharmacy services and were stratified into high- or low-risk groups. Results: Eighty-eight patients were stratified as high-risk with an average baseline A1c of 11.47% and a most recent average of 8.84%. The remaining 285 patients were stratified into the low-risk group. Their average baseline A1c was 7.48% and the last recorded average A1c was 7.15%. Patients not enrolled in HSSP CDM services (N = 100) had a lower reduction in average A1c compared to patients enrolled in the program. Conclusion: Patients stratified into high- and low-risk groups had greater reductions in A1c compared to patients who did not use HSSP CDM services. These results showcase the success of risk stratification and demonstrate the impact HSSP has on patients needing CDM services and outlines a strategy to provide the greatest impact in a high-volume patient population.

Self-Management Programs and the Pursuit of Behavior Change.

A self-management intervention is a personalized approach to individuals aiming to engage individuals in a behavior change to develop skills to live better with their condition. Self-management involves an iterative process between participants and providers in which goals are formulated and feedback is given. All respiratory societies advocate self-management as part of chronic care because it may improve quality of life and health-care utilization. Self-management is an integral part of pulmonary rehabilitation. Self-management interventions usually involve education and exercise prescription, and that is an asset of current programs; however, recent reports indicate that effective strategies for motivation and a behavior change focus are often missed. A recent systematic review on self-management urges the need for a specific aspect and characteristic of self-management interventions: iterative interactions between participants and health-care professionals competent in using behavior change practices to elicit participants' motivation, confidence, and competence to develop skills to better manage their disease. A recent review of self-care intervention in chronic disease states that the major deficits found in self-care interventions included a lack of attention and/or innovation to the psychological consequences of chronic illness, technology, and behavior change techniques to help patients manage symptoms. There is a need for exploration of mechanisms to explain the relationships between both anxiety and depression, and adherence to treatment in COPD. The latter is particularly appropriate for pulmonary rehabilitation, for which greater adherence is needed. This report aims to introduce basic aspects of behavior change and a proposed roadmap to introduce behavior change into pulmonary rehabilitation and chronic care programs.