Evidence map›Paper›PMID 27184989›Full record

Observational studyAnnals of family medicine2016

What Happens After Health Coaching? Observational Study 1 Year Following a Randomized Controlled Trial.

Anjana E Sharma, Rachel Willard-Grace, Danielle Hessler, Thomas Bodenheimer, David H Thom

Open access · diamondAbstract readObservational Study
In one paragraph

Observational study 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 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
5.2field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 51 citations in OpenAlex.

  1. American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2022
    Guideline
  2. Pooled it
  3. Trial
  4. Trial
  5. Delivery of Health Coaching by Medical Assistants in Primary Care.Journal of the American Board of Family Medicine : JABFM
    Trial
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Observational
  12. Article
  13. Article
  14. Article
  15. Article
  16. Making Inroads in Addressing Population Health in Underserved Communities With Type 2 Diabetes.Diabetes spectrum : a publication of the American Diabetes Association · 2019
    Article
  17. Article
  18. Article
  19. Article
  20. Primary Care Outcomes Questionnaire: psychometric testing of a new instrument.The British journal of general practice : the journal of the Royal College of General Practitioners · 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

5 authors at 1 institution in 1 country.

Anjana E SharmaCenter for Excellence in Primary Care, UCSF Department of Family & Community Medicine, San Francisco, California Anjana.sharma@ucsf.edu.
Rachel Willard-GraceCenter for Excellence in Primary Care, UCSF Department of Family & Community Medicine, San Francisco, California.
Danielle HesslerCenter for Excellence in Primary Care, UCSF Department of Family & Community Medicine, San Francisco, California.
Thomas BodenheimerCenter for Excellence in Primary Care, UCSF Department of Family & Community Medicine, San Francisco, California.
David H ThomCenter for Excellence in Primary Care, UCSF Department of Family & Community Medicine, San Francisco, California.
Center for Excellence in Education · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHealth coaching is effective for chronic disease self-management in the primary care safety-net setting, but little is known about the persistence of its benefits. We conducted an observational study evaluating the maintenance of improved cardiovascular risk factors following a health coaching intervention.

methodsWe performed a naturalistic follow-up to the Health Coaching in Primary Care Study, a 12-month randomized controlled trial (RCT) comparing health coaching to usual care for patients with uncontrolled diabetes, hypertension, or hyperlipidemia. Participants were followed up 24 months from RCT baseline. The primary outcome was the proportion at goal for at least 1 measure (hemoglobin A1c, systolic blood pressure, or LDL cholesterol) that had been above goal at enrollment; secondary outcomes included each individual clinical goal. Chi-square tests and paired t-tests compared dichotomous and continuous measures.

results290 of 441 participants (65.8%) participated at both 12 and 24 months. The proportion of patients in the coaching arm of the RCT who achieved the primary outcome dropped only slightly from 47.1% at 12 to 45.9% at 24 months (P = .80). The proportion at goal for hemoglobin A1c dropped from 53.4% to 36.2% (P = .03). All other clinical metrics had small, nonsignificant changes between 12 and 24 months.

conclusionsResults support the conclusion that most improved clinical outcomes persisted 1 year after the completion of the health coaching intervention.

Indexed as

Diabetes Mellitus, Type 2Directive CounselingHyperlipidemiasHypertensionAdultBlood PressureCaliforniaCholesterol, LDLFemaleFollow-Up StudiesGlycated HemoglobinHumansLogistic ModelsMaleMiddle AgedRandomized Controlled Trials as TopicCholesterol, LDLGlycated Hemoglobinchronic caredisease preventionhealth behavior changehealth promotionminority healthpatient-centered carepatient self-care supportpractice-based researchprimary carespecial populationunderserved patients

Identifiers

PMID27184989
PMCPMC4868557
OpenAlexW2408419774

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.