Evidence map›Paper›PMID 26951590›Full record

ArticleAnnals of family medicine2016

Supporting Patient Behavior Change: Approaches Used by Primary Care Clinicians Whose Patients Have an Increase in Activation Levels.

Jessica Greene, Judith H Hibbard, Carmen Alvarez, Valerie Overton

Abstract read
In one paragraph

Article in Annals of family medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

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

  1. Effectiveness, feasibility, and acceptability of behaviour change tools used by family doctors: a global systematic review.The British journal of general practice : the journal of the Royal College of General Practitioners · 2023
    Pooled it
  2. Trial
  3. Trial
  4. Article
  5. ConverSense: An Automated Approach to Assess Patient-Provider Interactions using Social Signals.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2024
    Article
  6. Article
  7. Article
  8. Article
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  10. Article
  11. Observational
  12. The Patient Activation Measure (PAM) and the pandemic: Predictors of patient activation among Australian health consumers during the COVID-19 pandemic.Health expectations : an international journal of public participation in health care and health policy · 2023
    Article
  13. Article
  14. Prevalence of overweight and obesity amongst patients with diabetes and their non-diabetic family members in Senwabarwana, Limpopo province, South Africa.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2022
    Article
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  16. Article
  17. Review
  18. The Wahls Behavior Change Model for Complex Chronic Diseases: A Clinician's Guide.Degenerative neurological and neuromuscular disease · 2022
    Article
  19. Article
  20. 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.

Jessica GreeneSchool of Nursing, George Washington University, Washington, DC jessgreene@gwu.edu.
Judith H HibbardISE Health Policy Group, University of Oregon, Eugene, Oregon.
Carmen AlvarezSchool of Nursing, Department of Community-Public Health, Johns Hopkins University, Baltimore, Maryland.
Valerie OvertonFairview Medical Group, Minneapolis, Minnesota.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe aimed to identify the strategies used to support patient behavior change by clinicians whose patients had an increase in patient activation.

methodsThis mixed methods study was conducted in collaboration with Fairview Health Services, a Pioneer Accountable Care Organization. We aggregated data on the change in patient activation measure (PAM) score for 7,144 patients to the primary care clinician level. We conducted in-depth interviews with 10 clinicians whose patients' score increases were among the highest and 10 whose patients' score changes were among the lowest. Transcripts of the interviews were analyzed to identify key strategies that differentiated the clinicians whose patients had top PAM change scores.

resultsClinicians whose patients had relatively large activation increases reported using 5 key strategies to support patient behavior change (mean = 3.9 strategies): emphasizing patient ownership; partnering with patients; identifying small steps; scheduling frequent follow-up visits to cheer successes, problem solve, or both; and showing caring and concern for patients. Clinicians whose patients had lesser change in activation were far less likely to describe using these approaches (mean = 1.3 strategies). Most clinicians, regardless of group, reported developing their own approach to support patient behavior change. Those whose patients showed high activation change reported spending more time with patients on counseling and education than did those whose patients showed less improvement in activation.

conclusionsClinicians vary in the strategies they use to promote behavior change and in the time spent with patients on such activities. The 5 key strategies used by clinicians with high patient activation change are promising approaches to supporting patient behavior change that should be tested in a larger sample of clinicians to validate their effectiveness.

Indexed as

Cooperative BehaviorHealth BehaviorPhysician-Patient RelationsCounselingFemaleHumansMalePractice Patterns, Physicians'Primary Health CareSelf Carebehavior changehealth behaviormixed methods researchmotivationpatient activationpatient empowermentphysicians’practice-based researchpractice patternsprimary careself-management

Identifiers

PMID26951590
PMCPMC4781518

What OpenQuestion holds

Textmetadata
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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.