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Integrating an Internet-mediated Walking Program into Family Medicine Clinical Practice: a Pilot Feasibility Study

Overview
Publisher Biomed Central
Date 2011 Jun 28
PMID 21702957
Citations 6
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Abstract

Background: Regular 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.

Methods: In 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.

Results: In 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).

Conclusions: Providers 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.

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References
1.
Puczynski S, Phelps K, Wilke A, Nagel R, Hickey D, Badenhop D . Collaborative goal setting to improve lifestyle behaviors: lessons learned from NOPCRN. Ann Fam Med. 2005; 3 Suppl 2:S60-2. PMC: 1466967. DOI: 10.1370/afm.364. View

2.
De Hert M, Dekker J, Wood D, Kahl K, Holt R, Moller H . Cardiovascular disease and diabetes in people with severe mental illness position statement from the European Psychiatric Association (EPA), supported by the European Association for the Study of Diabetes (EASD) and the European Society of.... Eur Psychiatry. 2009; 24(6):412-24. DOI: 10.1016/j.eurpsy.2009.01.005. View

3.
Griffiths F, Lindenmeyer A, Powell J, Lowe P, Thorogood M . Why are health care interventions delivered over the internet? A systematic review of the published literature. J Med Internet Res. 2006; 8(2):e10. PMC: 1550698. DOI: 10.2196/jmir.8.2.e10. View

4.
Steckler A, McLeroy K, Goodman R, Bird S, McCORMICK L . Toward integrating qualitative and quantitative methods: an introduction. Health Educ Q. 1992; 19(1):1-8. DOI: 10.1177/109019819201900101. View

5.
Aspy C, Mold J, Thompson D, Blondell R, Landers P, Reilly K . Integrating screening and interventions for unhealthy behaviors into primary care practices. Am J Prev Med. 2008; 35(5 Suppl):S373-80. DOI: 10.1016/j.amepre.2008.08.015. View