Dataset Information

Promoting self-management through adherence among heart failure patients discharged from rural hospitals: a study protocol.

ABSTRACT: Background Heart failure is one of the most prevalent chronic conditions in adults, leading to prolonged morbidity, repeated hospitalizations, and placing tremendous economic burden on the healthcare system. Heart failure patients discharged from rural hospitals, or primarily critical access hospitals, have higher 30-day readmission and mortality rates compared to patients discharged from urban hospitals. Self-management improves heart failure patients' health outcomes and reduces re-hospitalizations, but adherence to self-management guidelines is low. We propose a home based post-acute care service managed by advanced practice nurses to enhance patient activation and lead to the improvement of self-management adherence in heart failure patients discharged from rural hospitals. Objective This article describes the study design and research methods used to implement and evaluate the intervention. Method Our intervention is a 12-week patient activation (Patient AcTivated Care at Home [PATCH]) to improve self-management adherence. Patients were randomized into two parallel groups (12-week PATCH intervention + usual care vs. usual care only) to evaluate the effectiveness of this intervention. Outcomes were measured at baseline, 3 and 6 months. Discussion This study aimed to examine the effectiveness of a rural theory based, advance practice nurse led, activation enhancing intervention on the self-management adherence in heart failure patients residing in rural areas. Our expectation is to facilitate adherence to self-management behaviors in heart failure patients following discharge from rural hospitals and decrease complications and hospital readmissions, leading to the reduction of economic burden. ClinicalTrials.gov; https://register.clinicaltrials.gov/ NCT01964053.

SUBMITTER: Young L

PROVIDER: S-EPMC4367517 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Promoting self-management through adherence among heart failure patients discharged from rural hospitals: a study protocol.

Young Lufei L Barnason Sue S Do Van V

F1000Research 20141230

<h4>Unlabelled</h4>Background Heart failure is one of the most prevalent chronic conditions in adults, leading to prolonged morbidity, repeated hospitalizations, and placing tremendous economic burden on the healthcare system. Heart failure patients discharged from rural hospitals, or primarily critical access hospitals, have higher 30-day readmission and mortality rates compared to patients discharged from urban hospitals. Self-management improves heart failure patients' health outcomes and red ...[more]

PMID: 25844160

Similar Datasets

Project description:AimsPulmonary congestion (PC) expressed by residual lung ultrasound B-lines (LUS-BL) could exist in some discharged heart failure (HF) patients, which is a known determinant of poor outcomes. Detection efficacy for PC is suboptimal with widely used imaging modalities, like X-ray or echocardiography, while lung ultrasound (LUS) can sufficiently detect PC by visualizing LUS-BL. In this trial, we sought to evaluate the impact LUS-BL-guided intensive HF management post-discharge on outcome of HF patients discharged with residual LUS-BL up to 1 year after discharge. IMP-OUTCOME is a prospective, single-centre, single-blinded, randomized cohort study, which is designed to investigate if LUS-BL-guided intensive HF management post-discharge in patients with residual LUS-BL could improve the clinical outcome up to 1 year after discharge or not.Methods and resultsAfter receiving the standardized treatment of HF according to current guidelines, 318 patients with ≥3 LUS-BL assessed by LUS within 48 h before discharge will be randomly divided into the conventional HF management group and the LUS-BL-guided intensive HF management group at 1:1 ratio. Patient-related basic clinical data including sex, age, blood chemistry, imaging examination, and drug utilization will be obtained and analysed. LUS-BL will be assessed at 2 month interval post-discharge in both groups, but LUS-BL results will be enveloped in the conventional HF management group, and diuretics will be adjusted based on symptom and physical examination results with or without knowing the LUS-BL results. Echocardiography examination will be performed for all patients at 12 month post-discharge. The primary endpoint is consisted of the composite of readmission for worsening HF and all-cause death during follow up as indicated. The secondary endpoints consisted of the change in the New York Heart Association classification, Duke Activity Status Index, N terminal pro brain natriuretic peptide value, malignant arrhythmia event and 6 min walk distance at each designed follow up, echocardiography-derived left ventricular ejection fraction, and number of LUS-BL at 12 month post-discharge. Safety profile will be recorded and managed accordingly for all patients.ConclusionsThis trial will explore the impact of LUS-BL-guided intensive HF management on the outcome of discharged HF patients with residual LUS-BL up to 1 year after discharge in the era of sodium-glucose cotransporter-2 inhibitors and angiotensin receptor blocker-neprilysin inhibitor.Trial registrationClinicalTrials.gov: NCT05035459.

Project description:BackgroundHeart failure (HF) is the leading cause of hospitalization among older adults in the United States. There are substantial racial and geographic disparities in HF outcomes, with patients living in southern US states having a mortality rate 69% higher than the national average. Self-management behaviors, particularly daily weight monitoring and physical activity, are extremely important in improving HF outcomes; however, patients typically have particularly low adherence to these behaviors. With the rise of digital technologies to improve health outcomes and motivate health behaviors, sensor-controlled digital games (SCDGs) have become a promising approach. SCDGs, which leverage sensor-connected technologies, offer the benefits of being portable and scalable and allowing for continuous observation and motivation of health behaviors in their real-world contexts. They are also becoming increasingly popular among older adults and offer an immersive and accessible way to measure self-management behaviors and improve adherence. No SCDGs have been designed for older adults or evaluated to test their outcomes.ObjectiveThis randomized clinical trial aims to assess the efficacy of a SCDG in integrating the behavioral data of participants with HF from weight scale and activity tracker sensors to activate game progress, rewards, and feedback and, ultimately, to improve adherence to important self-management behaviors.MethodsA total of 200 participants with HF, aged ≥45 years, will be recruited and randomized into 2 groups: the SCDG playing group (intervention group) and sensor-only group (control group). Both groups will receive a weight scale, physical activity tracker, and accompanying app, whereas only the intervention group will play the SCDG. This design, thereby, assesses the contributions of the game. All participants will complete a baseline survey as well as posttests at 6 and 12 weeks to assess the immediate effect of the intervention. They will also complete a third posttest at 24 weeks to assess the maintenance of behavioral changes. Efficacy and benefits will be assessed by measuring improvements in HF-related proximal outcomes (self-management behaviors of daily weight monitoring and physical activity) and distal outcomes (HF hospitalization, quality of life, and functional status) between baseline and weeks 6, 12, and 24. The primary outcome measured will be days with weight monitoring, for which this design provides at least 80% power to detect differences between the 2 groups.ResultsRecruitment began in the fall of 2022, and the first patient was enrolled in the study on November 7, 2022. Recruitment of the last participant is expected in quarter 1 of 2025. Publication of complete results and data from this study is expected in 2026.ConclusionsThis project will generate insight and guidance for scalable and easy-to-use digital gaming solutions to motivate persistent adherence to HF self-management behaviors and improve health outcomes among individuals with HF.Trial registrationClinicalTrials.gov NCT05056129; https://clinicaltrials.gov/ct2/show/NCT05056129.International registered report identifier (irrid)DERR1-10.2196/45801.

Project description:BackgroundSelf-care practices are an important part of heart failure patient management and essential to control symptoms of the disease and its exacerbation. However, poor adherence to these self-care behaviors could be associated with an increase in hospitalization, morbidity, and mortality. Even if it is an important part of management for heart failure patients, yet information is not adequate in the study area about adherence to self-care recommendations and associated factors among heart failure patients.PurposeTo assess self-care recommendation adherence and associated factors among heart failure patients in West Gojjam Zone public hospitals.MethodsInstitutional-based cross-sectional study was conducted on 304 selected heart failure patients attending follow-up at public hospitals in West Gojjam Zone from March 16 to April 16, 2021. Consecutive sampling technique based on patient arrival with proportional allocation to each hospital was employed to select the study participants. Data were collected through face-to-face interview and reviewing patients' medical records. Data were entered into EpiData version 3.1 and analyzed using Statistical Package for Social Sciences (SPSS) version 25. Binary logistic regression model was fitted to assess the association between adherence to self-care recommendations and associated factors. P value < 0.05 with 95% confidence interval (CI) was considered to declare a statistically significant association in multivariable logistic regression.ResultsIn this study, 304 patients participated with a response rate of 97.4%. Only 32.9% of them had good adherence to self-care recommendations. Having good knowledge on heart failure (adjusted odds ratio (AOR) = 4.6; 95% CI: 1.82, 11.86), no depression (AOR = 6.1; 95% CI: 1.92, 19.37), having strong social support (AOR = 3.57; 95% CI: 1.56-8.33), age 30-49 years (AOR = 3.37; 95% CI: 1.14, 9.89), and college and above level of education (AOR = 6.17; 95% CI: 1.22, 31.25) were factors significantly associated with good adherence to self-care recommendations.ConclusionThis study showed that most of the heart failure patients had poor adherence to self-care recommendations. Policymakers and other stakeholders should develop and implement appropriate strategies to increase patients' adherence level to self-care recommendations by emphasizing on addressing identified factors.

Project description:BackgroundAdherence to the Heart Failure Society of America (HFSA) 2010 guidelines recommending 30 minutes of supervised moderate intensity exercise five days per week is difficult for patients with heart failure (HF). Innovative programs are needed to assist HF patients to adhere to long-term exercise. The objective of this prospective randomized two-group repeated measures experimental design is to determine the efficacy of a behavioral exercise training intervention on long-term adherence to exercise at 18 months in patients with heart failure.Methods/designA sample size of 246 subjects with heart failure will be recruited over a 3 year period. All subjects receive a cardiopulmonary exercise test and 9 supervised exercise training sessions during a 3 week run-in period prior to randomization. Subjects completing at least 6 of 9 training sessions are randomized to the HEART Camp Intervention group (HC) or to a standard care (SC) exercise group. The HC intervention group receives cognitive-behavioral strategies that address the intervention components of knowledge, attitudes, self-efficacy, behavioral self-management skills and social support. The SC group is provided access to the exercise facility and regular facility staff for the 18 month study period. The primary aim is to evaluate the effect of HEART Camp on adherence to exercise, with our central hypothesis that the HC group will have significantly better adherence to exercise at 18 months. Secondary aims include evaluating which components of the HEART Camp intervention mediate the effects of the intervention on adherence; evaluating the effect of HEART Camp on specific health outcomes; exploring selected demographic variables (race, gender, age) as potential moderators of the effect of the HEART Camp intervention on adherence; and exploring the perceptions and experiences that contextualize exercise adherence.DiscussionThe HEART Camp intervention is the first to test a multi-component intervention designed to improve long-term adherence to exercise behavior in patients with HF. Improving long-term adherence to exercise is the logical first step to ensure the required dose of exercise that is necessary to realize beneficial health outcomes and reduce costs in this burdensome chronic illness.Trial registrationClincaltrials.gov NCT01658670.

Project description:Background Adherence to self-care recommendations in heart failure (HF) patients is essential to improve the patients’ quality of life, prevent hospital admission, and reduce mortality and morbidity. Nevertheless, poor adherence to self-care recommendations remains to be an extensive problem for HF patients. Thus, the aim was to assess adherence to self-care recommendations and associated factors among HF patients in public hospitals, Addis Ababa, Ethiopia, 2021. Methods An institutional-based cross-sectional study was conducted among adult HF patients from February 15 to April 15, 2021, in five public hospitals, in Addis Ababa, Ethiopia. A total of 294 adult HF patients completed an interviewer-administered questionnaire in the Amharic language. The Revised HF Compliance Questionnaire was used to measure the adherence to self-care recommendations of HF patients. Data was collected using the Revised HF Compliance Questionnaire, the Japanese heart failure knowledge scale, the multidimensional scale of perceived social support, and the chronic diseases self-efficacy scale. Study participants were selected through a systematic random sampling technique. Data were entered into Epi-info version 7.1 and then exported to SPSS Version 25 for analysis. Descriptive and logistic regression analyses were performed and the statistical significance of associations between the variables was determined using ORs with 95% CI and p-values < 0.05. Results Adherence to self-care recommendations among adult HF patients in public hospitals, in Addis Ababa, Ethiopia was 32.70%. Being female (AOR 4.66, 95% CI 1.58–13.67), patients who had high family monthly income (AOR 10.32, 95% CI 2.00–5.13), NYHA class III (AOR: 7.01, 95% CI 2.18–22.57) and class IV (AOR: 6.30, 95% CI 1.01–39.22), who had good self-efficacy (AOR 7.63, 95% CI 2.64–21.97), and who had good knowledge about HF (AOR 3.95, 95% CI 1.56–9.95) were more likely to have good adherence to self-care recommendations, p-value < 0.05. Conclusion This study revealed that 32.70% of adult HF patients had good adherence to self-care recommendations. Factors associated with adherence to self-care recommendations of adult HF patients are sex, family monthly income, NYHA classification, self-efficacy, and knowledge about HF. Therefore, interventions focused on sex, family monthly income, NYHA classification, self-efficacy, and knowledge about HF are required to improve adherence to self-care recommendations of adult HF patients. Supplementary Information The online version contains supplementary material available at 10.1186/s12872-022-02717-3.

Project description:BackgroundWith an explosive growth in mobile health, an estimated 500 million patients are potentially using mHealth apps for supporting health and self-care of chronic diseases. Therefore, this review focused on mHealth apps for use among patients with heart failure.ObjectiveThe aim of this integrative review was to identify and assess the functionalities of mHealth apps that provided usability and efficacy data and apps that are commercially available without supporting data, all of which are to support heart failure self-care management and thus impact heart failure outcomes.MethodsA search of published, peer-reviewed literature was conducted for studies of technology-based interventions that used mHealth apps specific for heart failure. The initial database search yielded 8597 citations. After filters for English language and heart failure, the final 487 abstracts was reviewed. After removing duplicates, a total of 18 articles that tested usability and efficacy of mobile apps for heart failure self-management were included for review. Google Play and Apple App Store were searched with specified criteria to identify mHealth apps for heart failure. A total of 26 commercially available apps specific for heart failure were identified and rated using the validated Mobile Application Rating Scale.ResultsThe review included studies with low-quality design and sample sizes ranging from 7 to 165 with a total sample size of 847 participants from all 18 studies. Nine studies assessed usability of the newly developed mobile health system. Six of the studies included are randomized controlled trials, and 4 studies are pilot randomized controlled trials with sample sizes of fewer than 40. There were inconsistencies in the self-care components tested, increasing bias. Thus, risk of bias was assessed using the Cochrane Collaboration's tool for risk of selection, performance, detection, attrition, and reporting biases. Most studies included in this review are underpowered and had high risk of bias across all categories. Three studies failed to provide enough information to allow for a complete assessment of bias, and thus had unknown or unclear risk of bias. This review on the commercially available apps demonstrated many incomplete apps, many apps with bugs, and several apps with low quality.ConclusionsThe heterogeneity of study design, sample size, intervention components, and outcomes measured precluded the performance of a systematic review or meta-analysis, thus introducing bias of this review. Although the heart failure-related outcomes reported in this review vary, they demonstrated trends toward making an impact and offer a potentially cost-effective solution with 24/7 access to symptom monitoring as a point of care solution, promoting patient engagement in their own home care.

Project description:AimHeart failure (HF) outcomes are disproportionately worse in patients discharged to skilled nursing facilities (SNF) as opposed to home. We hypothesized that dementia and delirium were key factors influencing these differences. Our aim was to explore the associations of dementia and delirium with risk of hospital readmission and mortality in HF patients discharged to SNF.Methods and resultsThe study population included Veterans hospitalized for a primary diagnosis of HF and discharged to SNFs between 2010 and 2015. Pre-existing dementia was identified based on International Classification of Diseases-9 codes. Delirium was determined using the Minimum Data Set 3.0 Confusion Assessment Method algorithm. Proportional hazard regression analyses were used to model outcomes and were adjusted for covariates of interest. Patients (n = 21 655) were older (77.0 ± 10.5 years) and predominantly male (96.9%). Four groups were created according to presence (+) or absence (-) of dementia and delirium. Relative to the dementia-/delirium- group, the dementia-/delirium+ group was associated with increased 30 day mortality [adjusted hazard ratio (HR) = 2.2, 95% confidence interval (CI) = 1.7, 3.0] and 365 day mortality (adjusted HR = 1.5, 95% CI = 1.3, 1.7). Readmission was highest in the dementia-/delirium+ group after 30 days (HR = 1.2, 95% CI = 1.0, 1.5). In the group with dementia (delirium-/dementia+), 30 day mortality (12.8%; HR = 0.7, 95% CI = 0.7, 0.8) and readmissions (5.3%; HR = 1.0, 95% CI = 0.8, 1.1) were not different relative to the reference group.ConclusionsDelirium, independent of pre-existing dementia, confers increased risk of hospital readmission and mortality in HF patients discharged to SNFs. Managing HF after hospitalization is a complex cognitive task and an increased focus on mental status in the acute care setting prior to discharge is needed to improve HF management and transitional care, mitigate adverse outcomes, and reduce healthcare costs.

Dataset Information

Promoting self-management through adherence among heart failure patients discharged from rural hospitals: a study protocol.

Publications

Promoting self-management through adherence among heart failure patients discharged from rural hospitals: a study protocol.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets