Evidence map›Paper›PMID 26792906›Full record

Trial reportJournal of primary care & community health2016

Activating Patients for Sustained Chronic Disease Self-Management: Thinking Beyond Clinical Outcomes.

Cheryl J Dye, Joel E Williams, Janet H Evatt

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of primary care & community health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 3 pooled it
0.7field-weighted citation impact, top 25% of its field
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

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

  1. Pooled it
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  4. Article
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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

3 authors at 1 institution in 1 country.

Cheryl J DyeClemson University, Clemson, SC, USA tcheryl@clemson.edu.
Joel E WilliamsClemson University, Clemson, SC, USA.
Janet H EvattClemson University, Clemson, SC, USA.
Clemson University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article describes the impact of an 8-week community program implemented by trained volunteers on the hypertension self-management of 185 patients who were batch randomized to intervention or wait-list control groups. Compared with control group participants, a higher proportion of treatment group participants moved from the cognitive to behavioral stages of motivational readiness for being physically active (P < .001), practicing healthy eating habits (P = .001), handling stress well (P = .001), and living an overall healthy lifestyle (P = .003). They also demonstrated a greater average increase in perceived competence for self-management, F(1.134) = 4.957, P = .028, η2 = .036, and a greater increase in mean hypertension-related knowledge, F(1.160) = 16.571, P < .0005, η(2) = .094. Enduring lifestyle changes necessary for chronic disease self-management require that psychosocial determinants of health behavior are instilled, which is typically beyond standard medical practice. We recommend peer-led, community-based programs as a complement to clinical care and support the increasing health system interest in promoting population health beyond clinical walls.

Indexed as

Health BehaviorAgedAged, 80 and overChronic DiseaseCommunity Health ServicesCounselingDisease ManagementExerciseFemaleHealth Knowledge, Attitudes, PracticeHumansHypertensionLife StyleMaleMiddle AgedMotivationcommunity healthdisease managementlifestyle changephysical activityrural health

Identifiers

PMID26792906
PMCPMC5932719
OpenAlexW2341123971

What OpenQuestion holds

Textmetadata
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.