Evidence map›Paper›PMID 36836522›Full record

ReviewJournal of personalized medicine2023

Barriers and Facilitators in the Implementation of Prevention Strategies for Chronic Disease Patients-Best Practice GuideLines and Policies' Systematic Review.

Marta Duda-Sikuła, Donata Kurpas

Abstract readReview
In one paragraph

Review in Journal of personalized medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  8. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Marta Duda-SikułaClinical Trial Department, Wroclaw Medical University, 50-556 Wroclaw, Poland.
Donata KurpasDepartment of Family Medicine, Wroclaw Medical University, 51-141 Wroclaw, Poland.

Funding

Ministry of Science and Higher Education 016/RID/2018/19
6 · The paper itself

Abstract

Visits of chronically ill patients account for 80% of primary care consultations. Approximately 15-38% of patients have three or more chronic diseases, and 30% of hospitalisations result from the deteriorating clinical condition of these patients. The burden of chronic disease and multimorbidity is increasing in combination with the growing population of elderly people. However, many interventions found to be effective in health service studies fail to translate into meaningful patient care outcomes across multiple contexts. With the growing burden of chronic diseases, healthcare providers, health policymakers, and other healthcare system stakeholders are re-examining their strategies and opportunities for more effective prevention and clinical interventions. The study aimed to find the best practice guidelines and policies influencing effective intervention and making it possible to personalize prevention strategies. Apart from clinical treatment, it is essential to increase the effectiveness of non-clinical interventions that could empower chronic patients to increase their involvement in therapy. The review focuses on the best practice guidelines and policies in non-medical interventions and the barriers to and facilitators of their implementation into everyday practice. A systematic review of practice guidelines and policies was conducted to answer the research question. The authors screened databases and included 47 full-text recent studies in the qualitative synthesis.

Indexed as

chronic diseasepersonalized medicinepolicypractice guidelinesprevention and control

Identifiers

PMID36836522
PMCPMC9959826

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.