ReviewHeart failure reviews2015
Care-seeking decisions for worsening symptoms in heart failure: a qualitative metasynthesis.
Review in Heart failure reviews, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis 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
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Do chronic heart failure symptoms interact with burden of treatment? Qualitative literature systematic review.BMJ open · 2021Pooled it
- Article
- A process-based approach to health-related quality of life as a "way of living".Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023Review
- SYMptoms in chronic heart failure imPACT on burden of treatment (SYMPACT): a cross-sectional survey.ESC heart failure · 2022Article
- The Perspectives of Patients with Chronic Diseases and Their Caregivers on Self-Management Interventions: A Scoping Review of Reviews.The patient · 2021Article
- Reclaiming magical incantation in graduate medical education.Clinical rheumatology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Over 50 % of heart failure (HF) patients delay seeking help for worsening symptoms until these reach acute levels and require emergency hospitalisation. This metasynthesis aimed to identify and explore factors influencing timely care-seeking in patients with HF. Electronic databases searched were MEDLINE, Embase, and CINAHL. Studies were included if they were peer-reviewed journal articles, written in English, and reported perspectives of HF patients following qualitative data collection and analysis. Forty articles underwent analysis following the approach of Thomas and Harden. Leventhal's self-regulatory model (SRM) was used to organise the literature. Much of the literature fits within the SRM; however, this model did not account for all factors that influence patients' care-seeking for worsening symptoms. Factors not accounted for included patients' appraisals of previous care-seeking experiences, perceived system and provider barriers to accessing care, and the influence of external appraisals. When added to factors already represented in the model, such as misattribution of symptoms, not identifying with HF diagnosis, cognitive status, lack of understanding information provided, adaptation to symptoms, and emotional responses, a more comprehensive account of patients' decision-making was revealed. This metasynthesis identified factors, as yet unaccounted for, in a prominent model, and has suggested a more comprehensive framework for addressing care-seeking in HF patients. This information can be used to tailor education, communication, and service initiatives to improve HF patients' responses to worsening symptoms and target those most at risk of delay.
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What OpenQuestion holds
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.