William Hogg

Systematic Review and Meta-Analysis of Practice Facilitation Within Primary Care Settings

PURPOSE This study was a systematic review with a quantitative synthesis of the literature examining the overall effect size of practice facilitation and possible moderating factors. The primary outcome was the change in evidence-based practice behavior calculated as a standardized mean difference. METHODS In this systematic review, we searched 4 electronic databases and the reference lists of published literature reviews to find practice facilitation studies that identified evidence-based guideline implementation within primary care practices as the outcome. We included randomized and nonrandomized controlled trials and prospective cohort studies published from 1966 to December 2010 in English language only peer-reviewed journals. Reviews of each study were conducted and assessed for quality; data were abstracted, and standardized mean difference estimates and 95% confidence intervals (CIs) were calculated using a random-effects model. Publication bias, influence, subgroup, and meta-regression analyses were also conducted. RESULTS Twenty-three studies contributed to the analysis for a total of 1,398 participating practices: 697 practice facilitation intervention and 701 control group practices. The degree of variability between studies was consistent with what would be expected to occur by chance alone (I2 = 20%). An overall effect size of 0.56 (95% CI, 0.43–0.68) favored practice facilitation (z = 8.76; P <.001), and publication bias was evident. Primary care practices are 2.76 (95% CI, 2.18–3.43) times more likely to adopt evidence-based guidelines through practice facilitation. Meta-regression analysis indicated that tailoring (P = .05), the intensity of the intervention (P = .03), and the number of intervention practices per facilitator (P = .004) modified evidence-based guideline adoption. CONCLUSION Practice facilitation has a moderately robust effect on evidence-based guideline adoption within primary care. Implementation fidelity factors, such as tailoring, the number of practices per facilitator, and the intensity of the intervention, have important resource implications.

Managing Chronic Disease in Ontario Primary Care: The Impact of Organizational Factors

PURPOSE New approaches to chronic disease management emphasize the need to improve the delivery of primary care services to meet the needs of chronically ill patients. This study (1) assessed whether chronic disease management differed among 4 models of primary health care delivery and (2) identified which practice organizational factors were independently associated with high-quality care. METHODS We undertook a cross-sectional survey with nested qualitative case studies (2 practices per model) in 137 randomly selected primary care practices from 4 delivery models in Ontario Canada: fee for service, capitation, blended payment, and community health centers (CHCs). Practice and clinician surveys were based on the Primary Care Assessment Tool. A chart audit assessed evidence-based care delivery for patients with diabetes, congestive heart failure, and coronary artery disease. Intermediate outcomes were calculated for patients with diabetes and hypertension. Multiple linear regression identified those organizational factors independently associated with chronic disease management. RESULTS Chronic disease management was superior in CHCs. Clinicians in CHCs found it easier than those in the other models to promote high-quality care through longer consultations and interprofessional collaboration. Across the whole sample and independent of model, high-quality chronic disease management was associated with the presence of a nurse-practitioner. It was also associated with lower patient-family physician ratios and when practices had 4 or fewer full-time-equivalent family physicians. CONCLUSIONS The study adds to the literature supporting the value of nurse-practitioners within primary care teams and validates the contributions of Ontario’s CHCs. Our observation that quality of care decreased in larger, busier practices suggests that moves toward larger practices and greater patient-physician ratios may have unanticipated negative effects on processes of care quality.

Improving cardiovascular health at population level: 39 community cluster randomised trial of Cardiovascular Health Awareness Program (CHAP)

Objective To evaluate the effectiveness of the community based Cardiovascular Health Awareness Program (CHAP) on morbidity from cardiovascular disease. Design Community cluster randomised trial. Setting 39 mid-sized communities in Ontario, Canada, stratified by location and population size. Participants Community dwelling residents aged 65 years or over, family physicians, pharmacists, volunteers, community nurses, and local lead organisations. Intervention Communities were randomised to receive CHAP (n=20) or no intervention (n=19). In CHAP communities, residents aged 65 or over were invited to attend volunteer run cardiovascular risk assessment and education sessions held in community based pharmacies over a 10 week period; automated blood pressure readings and self reported risk factor data were collected and shared with participants and their family physicians and pharmacists. Main outcome measure Composite of hospital admissions for acute myocardial infarction, stroke, and congestive heart failure among all community residents aged 65 and over in the year before compared with the year after implementation of CHAP. Results All 20 intervention communities successfully implemented CHAP. A total of 1265 three hour long sessions were held in 129/145 (89%) pharmacies during the 10 week programme. 15 889 unique participants had a total of 27 358 cardiovascular assessments with the assistance of 577 peer volunteers. After adjustment for hospital admission rates in the year before the intervention, CHAP was associated with a 9% relative reduction in the composite end point (rate ratio 0.91, 95% confidence interval 0.86 to 0.97; P=0.002) or 3.02 fewer annual hospital admissions for cardiovascular disease per 1000 people aged 65 and over. Statistically significant reductions favouring the intervention communities were seen in hospital admissions for acute myocardial infarction (rate ratio 0.87, 0.79 to 0.97; P=0.008) and congestive heart failure (0.90, 0.81 to 0.99; P=0.029) but not for stroke (0.99, 0.88 to 1.12; P=0.89). Conclusions A collaborative, multi-pronged, community based health promotion and prevention programme targeted at older adults can reduce cardiovascular morbidity at the population level. Trial registration Current controlled trials ISRCTN50550004.

Framework for primary care organizations: the importance of a structural domain.

Purpose Conceptual frameworks for primary care have evolved over the last 40 years, yet little attention has been paid to the environmental, structural and organizational factors that facilitate or moderate service delivery. Since primary care is now of more interest to policy makers, it is important that they have a comprehensive and balanced conceptual framework to facilitate their understanding and appreciation. We present a conceptual framework for primary care originally developed to guide the measurement of the performance of primary care organizations within the context of a large mixed-method evaluation of four types of models of primary care in Ontario, Canada. Methods The framework was developed following an iterative process that combined expert consultation and group meetings with a narrative review of existing frameworks, as well as trends in health management and organizational theory. Results Our conceptual framework for primary care has two domains: structural and performance. The structural domain describes the health care system, practice context and organization of the practice in which any primary care organization operates. The performance domain includes features of health care service delivery and technical quality of clinical care. Conclusion As primary care evolves through demonstration projects and reformed delivery models, it is important to evaluate its structural and organizational features as these are likely to have a significant impact on performance.

Knowledge translation and indigenous knowledge

Objective. We wanted to evaluate the interface between knowledge translation theory and Indigenous knowledge. Design. Literature review supplemented by expert opinion was carried out. Method. Thematic analysis to identify gaps and convergences between the two domains was done. Results. The theoretical and epistemological frameworks underlying Western scientific and Indigenous knowledge systems were shown to have fundamental differences. Conclusion. Knowledge translation methods for health sciences research need to be specifically developed and evaluated within the context of Aboriginal communities.

Explaining physical activity levels from a self-efficacy perspective: the physical activity counseling trial.

Background: The Physical Activity Counseling (PAC) trial compared the effects of a 13-week primary care physical activity (PA) intervention that incorporated a PA counselor into a health care practice compared to a control condition on PA over a 25-week period and showed group differences in PA were present at 6 and 13 weeks.Purpose: The main purpose was to examine the mediating effect of 6-week task and barrier self-efficacy on the intervention versus control group/13-week PA relationships. A secondary purpose was to determine whether task and barrier self-efficacy were significantly related to PA throughout the trial for both groups.Method: Participants were primarily sedentary individuals who received a 2- to 4-min PA intervention from their primary care provider, after which they were randomly assigned to the intervention (n=61) or control condition (n=59). Self-reported PA and task (barrier) self-efficacy measures were obtained during (i.e., baseline, 6 and 13 weeks) and after (i.e., 19 and 25 weeks) the intervention in both groups.Results: Six-week task and barrier self-efficacy had a small mediating effect. Furthermore, barrier self-efficacy had a significant relationship with PA throughout the trial, whereas the relationship between task self-efficacy and PA became significantly weaker as the trial progressed.Conclusions: PAC interventions among primarily sedentary individuals should be partly based on barrier and task self-efficacy. However, the stability of the task self-efficacy/PA relationship needs further examination.

Cost savings associated with improving appropriate and reducing inappropriate preventive care: cost-consequences analysis

BackgroundOutreach facilitation has been proven successful in improving the adoption of clinical preventive care guidelines in primary care practice. The net costs and savings of delivering such an intensive intervention need to be understood. We wanted to estimate the proportion of a facilitation intervention cost that is offset and the potential for savings by reducing inappropriate screening tests and increasing appropriate screening tests in 22 intervention primary care practices affecting a population of 90,283 patients.MethodsA cost-consequences analysis of one successful outreach facilitation intervention was done, taking into account the estimated cost savings to the health system of reducing five inappropriate tests and increasing seven appropriate tests. Multiple data sources were used to calculate costs and cost savings to the government. The cost of the intervention and costs of performing appropriate testing were calculated. Costs averted were calculated by multiplying the number of tests not performed as a result of the intervention. Further downstream cost savings were determined by calculating the direct costs associated with the number of false positive test follow-ups avoided. Treatment costs averted as a result of increasing appropriate testing were similarly calculated.ResultsThe total cost of the intervention over 12 months was

Barriers and facilitators to recruitment of physicians and practices for primary care health services research at one centre

238,388 and the cost of increasing the delivery of appropriate care was

Beyond Fighting Fires and Chasing Tails? Chronic Illness Care Plans in Ontario, Canada

192,912 for a total cost of

The Cardiovascular Health in Ambulatory Care Research Team (CANHEART) Using Big Data to Measure and Improve Cardiovascular Health and Healthcare Services

431,300. The savings from reduction in inappropriate testing were