Evidence map›Paper›PMID 27029463›Full record

ArticleInternational journal for equity in health2016

Risk factors for not completing health interventions and the potential impact on health inequalities between educational groups - a mixed method study from Denmark.

Nanna Kure-Biegel, Christina Warrer Schnohr, Anette Lykke Hindhede, Finn Diderichsen

Abstract read
In one paragraph

Article in International journal for equity in health, 2016. 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.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Good intentions are not enough: how informatics interventions can worsen inequality.Journal of the American Medical Informatics Association : JAMIA · 2018
    Article
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

4 authors.

Nanna Kure-BiegelSection of Social Medicine, Institute of Public Health, University of Copenhagen, Gothersgade 160, Copenhagen, DK-1014 K, Denmark.
Christina Warrer SchnohrSection of Social Medicine, Institute of Public Health, University of Copenhagen, Gothersgade 160, Copenhagen, DK-1014 K, Denmark.
Anette Lykke HindhedeDepartment of Learning and Philosophy, Aalborg University, A C Meyers Vaenge 15, DK-2450, Copenhagen, SV, Denmark. alh@learning.aau.dk.
Finn DiderichsenSection of Social Medicine, Institute of Public Health, University of Copenhagen, Gothersgade 160, Copenhagen, DK-1014 K, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndividual-based interventions aim to improve patient self-management of chronic disease and to improve lifestyle among people at high risk, to reduce the prevalence of diseases contributing to health inequality. The present study investigates risk factors for uncompleted health interventions, via a combination of quantitative and qualitative methods.

methodsFrom a health centre in Copenhagen, questionnaire data on educational level, gender, age, and cohabitation status from 104 participants in health interventions were used to examine risks for dropout. Qualitative telephone interviews further investigated risk factors among 17 participants who were registered as uncompleted.

resultsOur findings show that there is a significantly higher prevalence of uncompleted courses among participants below age 60 (OR 3.38, 95 % CI 1.08; 10.55) and an insignificantly higher prevalence among people with low education (OR 1.82, 95 % CI 0.66; 5.03). Qualitative elaboration of these findings points to low self-control in jobs and a higher degree of comorbidity and treatment of diseases among the lower educated as determinants for not completing, but not lower motivation or less positive attitude toward the intervention itself.

conclusionsThis study indicates a social difference in dropout, and if dropout is to be prevented, there is a need to acknowledge factors such as organization of the intervention, lack of job flexibility, and comorbidity. If these factors are not addressed, people with low socioeconomic status will most likely have reduced opportunities for making healthy choices, in this case, completing the intervention, and this may increase health inequality.

Indexed as

Health Status DisparitiesAdultAgedChronic DiseaseDenmarkFemaleHumansMaleMiddle AgedPatient Education as TopicRisk FactorsSelf CareSurveys and QuestionnairesHealth inequityHealth policyInterventionsLifestyle factorsTertiary prevention

Identifiers

PMID27029463
PMCPMC4815197

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.