Trial reportJournal of cardiac failure2015
An economic evaluation of a self-care intervention in persons with heart failure and diabetes.
Trial report in Journal of cardiac failure, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Valuing health-related quality of life in heart failure: a systematic review of methods to derive quality-adjusted life years (QALYs) in trial-based cost-utility analyses.Heart failure reviews · 2019Pooled it
- Disease management interventions for heart failure.The Cochrane database of systematic reviews · 2019Pooled it
- Habits Heart App for Patient Engagement in Heart Failure Management: Pilot Feasibility Randomized Trial.JMIR mHealth and uHealth · 2021Trial
- Article
- The Effectiveness of Self-Management Strategies in Patients With Heart Failure: A Narrative Review.Cureus · 2023Review
- Elements Characterising Multicomponent Interventions Used to Improve Disease Management Models and Clinical Pathways in Acute and Chronic Heart Failure: A Scoping Review.Healthcare (Basel, Switzerland) · 2023Article
- Economic and health impacts of the Change4Life Food Scanner app: Findings from a randomized pilot and feasibility study.Frontiers in nutrition · 2023Article
- Establishing a pragmatic framework to optimise health outcomes in heart failure and multimorbidity (ARISE-HF): A multidisciplinary position statement.International journal of cardiology · 2016Review
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
backgroundPersons with concomitant heart failure (HF) and diabetes mellitus constitute a growing population whose quality of life is encumbered with worse clinical outcomes as well as high health resource use (HRU) and costs. METHODS AND
resultsExtensive data on HRU and costs were collected as part of a prospective cost-effectiveness analysis of a self-care intervention to improve outcomes in persons with both HF and diabetes. HRU costs were assigned from a Medicare reimbursement perspective. Patients (n = 134) randomized to the self-care intervention and those receiving usual care/attention control were followed for 6 months, revealing significant differences in the number of hospitalization days and associated costs between groups. The mean number of inpatient days was 3 with bootstrapped bias-corrected (BCa) confidence intervals (CIs) of 1.8-4.4 d for the intervention group and 7.3 d (BCa CI 4.1-10.9 d) in the control group: P = .044. Total direct HRU costs per participant were an estimated $9,065 (BCa CI $6,496-$11,936) in the intervention and $16,712 (BCa CI 8,200-$26,621) in the control group, for a mean difference of -$7,647 (BCa CI -$17,588 to $809; P = .21) in favor of the intervention, including intervention costs estimated to be $130.67 per patient.
conclusionsThe self-care intervention demonstrated dominance in lowering costs without sacrificing quality-adjusted life-years.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.