Evidence map›Paper›PMID 21702957›Full record

ArticleBMC medical informatics and decision making2011

Integrating an internet-mediated walking program into family medicine clinical practice: a pilot feasibility study.

David E Goodrich, Lorraine R Buis, Adrienne W Janney, Megan D Ditty, Christine W Krause, Kai Zheng, Ananda Sen, Victor J Strecher, Michael L Hess, John D Piette and 1 more

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Pooled it
  3. A systematic review of clinician and staff views on the acceptability of incorporating remote monitoring technology into primary care.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2014
    Pooled it
  4. Article
  5. A critical analysis of the implementation of service user involvement in primary care research and health service development using normalization process theory.Health expectations : an international journal of public participation in health care and health policy · 2016
    Review
  6. Reach of a kiosk-based pediatric injury prevention program.Translational behavioral medicine · 2011
    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

11 authors.

David E GoodrichDepartment of Family Medicine, University of Michigan, 1018 Fuller St, Ann Arbor, 48104, USA.
Lorraine R Buis
Adrienne W Janney
Megan D Ditty
Christine W Krause
Kai Zheng
Ananda Sen
Victor J Strecher
Michael L Hess
John D Piette
Caroline R Richardson

Funding

PUBLIC HEALTH DEMONSTRATIONP60DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MYERS, MARTIN G · 1985 to 2012
$26.5M
Training / Career DevelopmentP50CA101451 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI STRECHER, VICTOR J · 2003 to 2012
$18.2M
Motivational Feedback to Increase Walking AdherenceK23HL075098 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RICHARDSON, CAROLINE R. · 2004 to 2008
$666k
NCI NIH HHS P50 CA101451NHLBI NIH HHS K23 HL075098NIDDK NIH HHS P60 DK020572
6 · The paper itself

Abstract

backgroundRegular participation in physical activity can prevent many chronic health conditions. Computerized self-management programs are effective clinical tools to support patient participation in physical activity. This pilot study sought to develop and evaluate an online interface for primary care providers to refer patients to an Internet-mediated walking program called Stepping Up to Health (SUH) and to monitor participant progress in the program.

methodsIn Phase I of the study, we recruited six pairs of physicians and medical assistants from two family practice clinics to assist with the design of a clinical interface. During Phase II, providers used the developed interface to refer patients to a six-week pilot intervention. Provider perspectives were assessed regarding the feasibility of integrating the program into routine care. Assessment tools included quantitative and qualitative data gathered from semi-structured interviews, surveys, and online usage logs.

resultsIn Phase I, 13 providers used SUH and participated in two interviews. Providers emphasized the need for alerts flagging patients who were not doing well and the ability to review participant progress. Additionally, providers asked for summary views of data across all enrolled clinic patients as well as advertising materials for intervention recruitment. In response to this input, an interface was developed containing three pages: 1) a recruitment page, 2) a summary page, and 3) a detailed patient page. In Phase II, providers used the interface to refer 139 patients to SUH and 37 (27%) enrolled in the intervention. Providers rarely used the interface to monitor enrolled patients. Barriers to regular use of the intervention included lack of integration with the medical record system, competing priorities, patient disinterest, and physician unease with exercise referrals. Intention-to-treat analyses showed that patients increased walking by an average of 1493 steps/day from pre- to post-intervention (t = (36) = 4.13, p < 0.01).

conclusionsProviders successfully referred patients using the SUH provider interface, but were less willing to monitor patient compliance in the program. Patients who completed the program significantly increased their step counts. Future research is needed to test the effectiveness of integrating SUH with clinical information systems over a longer evaluation period.

Indexed as

ExerciseFamily PracticeInternetProgram EvaluationWalkingClinical MedicineData CollectionFeasibility StudiesHumansPilot ProjectsSelf Care

Identifiers

PMID21702957
PMCPMC3135495

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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.