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

Patient activation in adults with visual impairment: a study of related factors

This study aims to analyze variables related to patient activation in 78 individuals with visual impairment. The Patient Activation Measure (PAM) scores of participants showed no differences between males and females. It was found that the individuals living in urban areas, and participants with higher income and education levels had higher PAM scores. Still, the difference between the groups was statistically insignificant (p > 0.05). The PAM scores of the visually impaired individuals reflect taking action level of activation (66.51 ± 18.14-PAM level 3). There was a moderately significant relationship between PAM scores and visually impaired individuals' self-management, self-efficacy, healthy life awareness, social relations, and environment (p < 0.001). We found that the variables included in the regression model (marital status, self-management, self-efficacy, healthy life awareness, social relations, and environment) explained 72.2% of the PAM score. Individuals with visual impairment can be given training on self-management, self-efficacy, healthy life awareness, and quality of life associated with social relations and environment to develop positive health behaviors.

Digital Health Interventions for Heart Failure Management in Underserved Rural Areas of the United States: A Systematic Review of Randomized Trials

BACKGROUND

Heart failure disproportionately affects individuals residing in rural areas, leading to worse health outcomes. Digital health interventions have been proposed as a promising approach for improving heart failure management. This systematic review aims to identify randomized trials of digital health interventions for individuals living in underserved rural areas with heart failure.

METHODS AND RESULTS

We conducted a systematic review by searching 6 databases (CINAHL, EMBASE, MEDLINE, Web of Science, Scopus, and PubMed; 2000-2023). A total of 30 426 articles were identified and screened. Inclusion criteria consisted of digital health randomized trials that were conducted in underserved rural areas of the United States based on the US Census Bureau's classification. Two independent reviewers screened the studies using the National Heart, Lung, and Blood Institute tool to evaluate the risk of bias. The review included 5 trials from 6 US states, involving 870 participants (42.9% female). Each of the 5 studies employed telemedicine, 2 studies used remote monitoring, and 1 study used mobile health technology. The studies reported improvement in self-care behaviors in 4 trials, increased knowledge in 2, and decreased cardiovascular mortality in 1 study. However, 3 trials revealed no change or an increase in health care resource use, 2 showed no change in cardiac biomarkers, and 2 demonstrated an increase in anxiety.

CONCLUSIONS

The results suggest that digital health interventions have the potential to enhance self-care and knowledge of patients with heart failure living in underserved rural areas. However, further research is necessary to evaluate their impact on clinical outcomes, biomarkers, and health care resource use.

REGISTRATION

URL: https://www.crd.york.ac.uk/prospero/; Unique identifier: CRD42022366923.

Implementing the Patient Activation Measure (PAM) in clinical settings for patients with chronic conditions: a scoping review

Objective

The Patient Activation Measure (PAM) assesses the knowledge, skills and confidence of patients to manage their health, and has been consistently used as an outcome measure of health interventions. Using the PAM to tailor interventions to a patient's activation level is less understood. This literature review aimed to examine evidence for interventions using the PAM to tailor care for patients with chronic conditions, including enablers and barriers to implementation, and the impact on quality of care.

Methods and analysis

A scoping review methodology was used to identify literature reporting on PAM-tailored interventions. The Insignia Health website and Medline database were searched. Included papers were published in English from 2004 to 2017, from Organisation for Economic Cooperation and Development countries, included adult patients with chronic conditions, and a PAM-tailored intervention. Eligible full-text papers were assessed against the inclusion criteria. Data were extracted into tables and summarised to assess the key findings, recurring themes and differences across papers.

Results

Twenty-one papers describing the use of PAM-tailored interventions (n=21) were identified. Interventions included motivational interviewing, health coaching, self-management planning and risk profile assessment. The perceived value and function of the PAM held by organisations, clinicians and patients influenced implementation and use. Evidence for the impact of PAM-tailored interventions on quality of care was limited.

Conclusion

The PAM is being used to tailor a range of interventions for patients with chronic conditions. Clinician perceptions and understanding about the PAM's value and purpose influenced implementation. Further research is needed about how PAM-tailored interventions can be integrated into clinical practice, and guide the patient-clinician interaction, in ways that improve the quality of patient care.

Disease management interventions for heart failure

BACKGROUND

Despite advances in treatment, the increasing and ageing population makes heart failure an important cause of morbidity and death worldwide. It is associated with high healthcare costs, partly driven by frequent hospital readmissions. Disease management interventions may help to manage people with heart failure in a more proactive, preventative way than drug therapy alone. This is the second update of a review published in 2005 and updated in 2012.

OBJECTIVES

To compare the effects of different disease management interventions for heart failure (which are not purely educational in focus), with usual care, in terms of death, hospital readmissions, quality of life and cost-related outcomes.

SEARCH METHODS

We searched CENTRAL, MEDLINE, Embase and CINAHL for this review update on 9 January 2018 and two clinical trials registries on 4 July 2018. We applied no language restrictions.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) with at least six months' follow-up, comparing disease management interventions to usual care for adults who had been admitted to hospital at least once with a diagnosis of heart failure. There were three main types of intervention: case management; clinic-based interventions; multidisciplinary interventions.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures expected by Cochrane. Outcomes of interest were mortality due to heart failure, mortality due to any cause, hospital readmission for heart failure, hospital readmission for any cause, adverse effects, quality of life, costs and cost-effectiveness.

MAIN RESULTS

We found 22 new RCTs, so now include 47 RCTs (10,869 participants). Twenty-eight were case management interventions, seven were clinic-based models, nine were multidisciplinary interventions, and three could not be categorised as any of these. The included studies were predominantly in an older population, with most studies reporting a mean age of between 67 and 80 years. Seven RCTs were in upper-middle-income countries, the rest were in high-income countries.Only two multidisciplinary-intervention RCTs reported mortality due to heart failure. Pooled analysis gave a risk ratio (RR) of 0.46 (95% confidence interval (CI) 0.23 to 0.95), but the very low-quality evidence means we are uncertain of the effect on mortality due to heart failure. Based on this limited evidence, the number needed to treat for an additional beneficial outcome (NNTB) is 12 (95% CI 9 to 126).Twenty-six case management RCTs reported all-cause mortality, with low-quality evidence indicating that these may reduce all-cause mortality (RR 0.78, 95% CI 0.68 to 0.90; NNTB 25, 95% CI 17 to 54). We pooled all seven clinic-based studies, with low-quality evidence suggesting they may make little to no difference to all-cause mortality. Pooled analysis of eight multidisciplinary studies gave moderate-quality evidence that these probably reduce all-cause mortality (RR 0.67, 95% CI 0.54 to 0.83; NNTB 17, 95% CI 12 to 32).We pooled data on heart failure readmissions from 12 case management studies. Moderate-quality evidence suggests that they probably reduce heart failure readmissions (RR 0.64, 95% CI 0.53 to 0.78; NNTB 8, 95% CI 6 to 13). We were able to pool only two clinic-based studies, and the moderate-quality evidence suggested that there is probably little or no difference in heart failure readmissions between clinic-based interventions and usual care (RR 1.01, 95% CI 0.87 to 1.18). Pooled analysis of five multidisciplinary interventions gave low-quality evidence that these may reduce the risk of heart failure readmissions (RR 0.68, 95% CI 0.50 to 0.92; NNTB 11, 95% CI 7 to 44).Meta-analysis of 14 RCTs gave moderate-quality evidence that case management probably slightly reduces all-cause readmissions (RR 0.92, 95% CI 0.83 to 1.01); a decrease from 491 to 451 in 1000 people (95% CI 407 to 495). Pooling four clinic-based RCTs gave low-quality and somewhat heterogeneous evidence that these may result in little or no difference in all-cause readmissions (RR 0.90, 95% CI 0.72 to 1.12). Low-quality evidence from five RCTs indicated that multidisciplinary interventions may slightly reduce all-cause readmissions (RR 0.85, 95% CI 0.71 to 1.01); a decrease from 450 to 383 in 1000 people (95% CI 320 to 455).Neither case management nor clinic-based intervention RCTs reported adverse effects. Two multidisciplinary interventions reported that no adverse events occurred. GRADE assessment of moderate quality suggested that there may be little or no difference in adverse effects between multidisciplinary interventions and usual care.Quality of life was generally poorly reported, with high attrition. Low-quality evidence means we are uncertain about the effect of case management and multidisciplinary interventions on quality of life. Four clinic-based studies reported quality of life but we could not pool them due to differences in reporting. Low-quality evidence indicates that clinic-based interventions may result in little or no difference in quality of life.Four case management programmes had cost-effectiveness analyses, and seven reported cost data. Low-quality evidence indicates that these may reduce costs and may be cost-effective. Two clinic-based studies reported cost savings. Low-quality evidence indicates that clinic-based interventions may reduce costs slightly. Low-quality data from one multidisciplinary intervention suggested this may be cost-effective from a societal perspective but less so from a health-services perspective.

AUTHORS' CONCLUSIONS

We found limited evidence for the effect of disease management programmes on mortality due to heart failure, with few studies reporting this outcome. Case management may reduce all-cause mortality, and multidisciplinary interventions probably also reduce all-cause mortality, but clinic-based interventions had little or no effect on all-cause mortality. Readmissions due to heart failure or any cause were probably reduced by case-management interventions. Clinic-based interventions probably make little or no difference to heart failure readmissions and may result in little or no difference in readmissions for any cause. Multidisciplinary interventions may reduce the risk of readmission for heart failure or for any cause. There was a lack of evidence for adverse effects, and conclusions on quality of life remain uncertain due to poor-quality data. Variations in study location and time of occurrence hamper attempts to review costs and cost-effectiveness.The potential to improve quality of life is an important consideration but remains poorly reported. Improved reporting in future trials would strengthen the evidence for this patient-relevant outcome.

The Impact of Self-management Knowledge and Support on the Relationships Among Self-efficacy, Patient Activation, and Self-management in Rural Patients With Heart Failure

BACKGROUND

Self-management (SM) is an essential component of heart failure (HF) management. The mechanisms to improve SM behaviors are unclear.

OBJECTIVE

The objective of this study is to examine whether patient activation mediates the effect of self-efficacy on SM behaviors in rural HF patients.

METHODS

A secondary analysis was conducted using data collected from a randomized controlled trial aimed to improve SM behaviors. The main variables included were SM knowledge, self-efficacy, patient activation, and SM behaviors.

RESULTS

Mediation analysis showed patient activation mediated the effect of self-efficacy on SM. Both self-efficacy and patient activation were significantly related to SM behaviors, respectively (r = 0.46, P < .001; β = .48, P = .001). However, self-efficacy was no longer directly related to SM behaviors when patient activation was entered into the final model (β = .17, P = .248). Self-management knowledge and support were significant moderators. In patients with high levels of SM knowledge, patient activation did not mediate the effect of self-efficacy on SM behaviors (β = .15, P = .47). When SM support was entered in the path model, patient activation was not a significant mediator between self-efficacy and SM behavior at high (β = .27, P = .27) or low (β = .27, P = .25) levels of SM support.

CONCLUSIONS

Study findings suggest that targeted SM support for high-risk HF patients with low SM knowledge and support may be useful. In addition, strategies to increase patient activation may improve HF patients' SM confidence.

The Third Time's a Charm: Psychometric Testing and Update of the Atlanta Heart Failure Knowledge Test

BACKGROUND AND OBJECTIVE

Since first being published in 2009, the Atlanta Heart Failure Knowledge Test (AHFKT) has proven a reliable and valid instrument and has been used in multiple studies. Given advances in heart failure (HF) self-care, we proposed to reevaluate the psychometric properties of the AHFKTv2 across these recent studies and update the instrument.

METHODS

Demographic, clinical, and baseline AHFKTv2 data from 4 intervention studies in persons with HF were combined for this analysis (N = 284). The 30 questions of the AHFKT are focused on 5 HF self-care knowledge domains: pathophysiology, nutrition, behavior, medications, and symptoms. Characteristics of the sample were analyzed using descriptive statistics; validity testing with t tests and Mann-Whitney 2-group tests and Pearson r and Spearman ρ correlations; and reliability calculations and factor analysis were performed based on tetrachoric correlations.

RESULTS

Participants were 22 to 84 years of age, 66% were African American, 63% were male, and 94% had New York Heart Association class II to III HF. Mean AHFKT score was 80.6% (±11%). Hypotheses that higher levels of knowledge would be associated with higher education level (t = -2.7, P < .01) and less sodium consumption (ρ = -0.22, P = .03) were validated. Factor analysis revealed 1 general knowledge factor with good reliability, Cronbach's α was .87. Item response analysis identified individual questions requiring review and revision.

CONCLUSION

Comprehensive psychometric evaluation of the AHFKTv2 confirmed its internal consistency reliability and validity and provided direction for production of the AHFKTv3 available for use in research and clinical practice.

Effects of a home-based activation intervention on self-management adherence and readmission in rural heart failure patients: the PATCH randomized controlled trial

BACKGROUND

Heart failure (HF) patients discharged from rural hospitals have higher 30-day readmission rates. Self-management (SM) reduces readmissions, but adherence to SM guidelines is low in the rural HF population. We tested a home-based intervention to enhance patient activation and lead to improved SM adherence.

METHODS

In this two-group, repeated measures randomized control trial, the main outcomes were patient reported and clinical outcomes associated with SM adherence, and all-cause readmission at 30, 90 and 180 days.

RESULTS

The study included 100 HF patients discharged from a rural critical access hospital. The intervention group received a 12-week SM training and coaching program delivered by telephone and tailored on subjects' activation levels. At α = .10, the PATCH intervention showed significantly greater improvement compared to usual care in patient-reported SM adherence: weighing themselves, following a low-sodium diet, taking prescribed medication, and exercising daily (all p < .0005) at 3 and 6 months after discharge. In contrast, groups did not differ in physical activity assessed by actigraphy or in clinical biomarkers. Contrary to expectation, the 30-day readmission rate was significantly higher (p = .088) in the intervention group (19.6 %) than in the control group (6.1 %), with no differences at 90 or 180 days.

CONCLUSION

It is feasible to conduct a randomized controlled trial in HF patients discharged from rural critical access hospitals. Significantly higher patient-reported SM adherence was not accompanied by lower clinical biomarkers or readmission rates. Further research is needed to understand mechanisms that influence outcomes and healthcare utilization in this population.

TRIAL REGISTRATION

CLINICAL TRIAL REGISTRATION INFORMATION

ClinicalTrials.gov; NCT01964053 .

Mechanism of engaging self-management behavior in rural heart failure patients

AIM

The purpose of this study was to examine the relationships among self-efficacy, patient activation and SM in rural heart failure patients discharged from critical access hospitals.

BACKGROUND

Heart failure is one of the most disabling and resource-consuming chronic conditions. Compared to their urban counterparts, rural heart failure patients had higher healthcare utilizations and worse health outcomes. Self-management (SM) plays a significant role in improving patients' outcomes and reducing healthcare use. Despite persistent recommendations of SM, engagement in SM still remains low in rural heart failure patients. SM is a complex behavior, which is influenced by various factors. Evidence on the efficacy of interventions to promote SM is limited and inconsistent. One reason is that the mechanism of engagement of SM in the rural heart failure population has not been fully understood.

METHODS

A correlational study was conducted using secondary data from a randomized control trial aimed to improve SM adherence. Path analysis was used to test the hypothesis of patient activation mediating the effect of self-efficacy on SM.

RESULTS

Data were collected from a sample of 101 heart failure patients (37% males) with an average age of 70 years. The final model provided a good fit to the data, supporting the hypothesis that self-efficacy contributes to SM through activation.

CONCLUSION

The results of this study showed that effective SM interventions should be designed to include strategies to promote both self-efficacy and activation.

Relationships between activation level, knowledge, self-efficacy, and self-management behavior in heart failure patients discharged from rural hospitals

Non-adherence to self-management guidelines accounted for 50% of hospital readmissions in heart failure patients. Evidence showed that patient activation affects self-management behaviors in populations living with chronic conditions. The purpose of this study was to describe patient activation level and its relationship with knowledge, self-efficacy and self-management behaviors in heart failure patients discharged from rural hospitals. Our study populations were recruited from two hospitals in rural areas of Nebraska. We found that two-thirds of the participants reported low activation levels (e.g., taking no action to manage their heart failure condition). In addition, low patient activation levels were associated with inadequate heart failure knowledge (p=.005), low self-efficacy (p<.001) and low engagement in heart failure self-management behaviors (p<.001) after discharge from hospital.