Physical activity promotion in Manitoba: Strengths, needs, and moving forward

Informing the Physical Activity Evaluation Framework: A Scoping Review of Reviews

OBJECTIVE

Robust program evaluations can identify effective promotion strategies. This scoping review aimed to analyze review articles (including systematic reviews, meta-analysis, meta-synthesis, scoping review, narrative review, rapid review, critical review, and integrative reviews) to systematically map and describe physical activity program evaluations published between January 2014 and July 2020 to summarize key characteristics of the published literature and suggest opportunities to strengthen current evaluations.

DATA SOURCE

We conducted a systematic search of the following databases: Medline, Scopus, Sportdiscus, Eric, PsycInfo, and CINAHL.

INCLUSION/EXCLUSION CRITERIA

Abstracts were screened for inclusion based on the following criteria: review article, English language, human subjects, primary prevention focus, physical activity evaluation, and evaluations conducted in North America.

EXTRACTION

Our initial search yielded 3193 articles; 211 review articles met the inclusion criteria.

SYNTHESIS

We describe review characteristics, evaluation measures, and "good practice characteristics" to inform evaluation strategies.

RESULTS

Many reviews (72%) did not assess or describe the use of an evaluation framework or theory in the primary articles that they reviewed. Among those that did, there was significant variability in terminology making comparisons difficult. Process indicators were more common than outcome indicators (63.5% vs 46.0%). There is a lack of attention to participant characteristics with 29.4% capturing participant characteristics such as race, income, and neighborhood. Negative consequences from program participation and program efficiency were infrequently considered (9.3% and 13.7%).

CONCLUSION

Contextual factors, negative outcomes, the use of evaluation frameworks, and measures of program sustainability would strengthen evaluations and provide an evidence-base for physical activity programming, policy, and funding.

Patient perspectives on tablet-based technology to collect risk factor information in primary care

BACKGROUND

Primary care provides an opportunity to introduce prevention strategies and identify risk behaviours. Algorithmic information technology such as the Risk Factor Identification Tool (RFIT) can support primary care counseling. This study explores the integration of the tablet-based RFIT in primary care clinics to support exploration of patient risk factor information.

METHODS

Qualitative study to explore patients' perspectives of RFIT. RFIT was implemented in two primary care clinics in Manitoba, Canada. There were 207 patients who completed RFIT, offered to them by eight family physicians. We conducted one-on-one patient interviews with 86 patients to capture the patient's perspective. Responses were coded and categorized into five common themes.

RESULTS

RFIT had a completion rate of 86%. Clinic staff reported that very few patients declined the use of RFIT or required assistance to use the tablet. Patients reported that the tablet-based RFIT provided a user-friendly interface that enabled self-reflection while in the waiting room. Patients discussed the impact of RFIT on the patient-provider interaction, utility for the clinician, their concerns and suggested improvements for RFIT. Among the patients who used RFIT 12.1% smoked, 21.2% felt their diet could be improved, 9.3% reported high alcohol consumption, 56.4% reported less than 150 min of PA a week, and 8.2% lived in poverty.

CONCLUSION

RFIT is a user-friendly tool for the collection of patient risk behaviour information. RFIT is particularly useful for patients lacking continuity in the care they receive. Information technology can promote self-reflection while providing useful information to the primary care clinician. When combined with practical tools and resources RFIT can assist in the reduction of risk behaviours.

Using Information Technology to Assess Patient Risk Factors in Primary Care Clinics: Pragmatic Evaluation

BACKGROUND

Tobacco use, physical inactivity, and poor diet are associated with morbidity and premature death. Health promotion and primary prevention counseling, advice, and support by a primary care provider lead to behavior change attempts among patients. However, although physicians consider preventative health important, there is often a larger focus on symptom presentation, acute care, and medication review.

OBJECTIVE

This study evaluated the feasibility, adoption, and integration of the tablet-based Risk Factor Identification Tool (RFIT) that uses algorithmic information technology to support obtainment of patient risk factor information in primary care clinics.

METHODS

This is a pragmatic developmental evaluation. Each clinic developed a site-specific implementation plan adapted to their workflow. The RFIT was implemented in 2 primary care clinics located in Manitoba. Perceptions of 10 clinic staff and 8 primary care clinicians informed this evaluation.

RESULTS

Clinicians reported a smooth and fast transfer of RFIT responses to an electronic medical record encounter note. The RFIT was used by 207 patients, with a completion rate of 86%. Clinic staff reported that approximately 3%-5% of patients declined the use of the RFIT or required assistance to use the tablet. Among the 207 patients that used the RFIT, 22 (12.1%) smoked, 39 (21.2%) felt their diet could be improved, 20 (12.0%) reported high alcohol consumption, 103 (56.9%) reported less than 150 minutes of physical activity a week, and 6 (8.2%) patients lived in poverty. Clinicians suggested that although a wide variety of patients were able to use the tablet-based RFIT, implemented surveys should be tailored to patient subgroups.

CONCLUSIONS

Clinicians and clinic staff positively reviewed the use of information technology in primary care. Algorithmic information technology can collect, organize, and synthesize individual health information to inform and tailor primary care counseling to the patients' context and readiness to change. The RFIT is a user-friendly tool that provides an effective method for obtaining risk factor information from patients. It is particularly useful for subsets of patients lacking continuity in the care they receive. When implemented within a context that can support practical interventions to address identified risk factors, the RFIT can inform brief interventions within primary care.