Psychometric analysis of the TRANSIT quality indicators for cardiovascular disease prevention in primary care.

OBJECTIVE: To assess a selection of psychometric properties of the TRANSIT indicators. DESIGN: Using medical records, indicators were documented retrospectively during the 14 months preceding the end of the TRANSIT study. SETTING: Primary care in Quebec, Canada. PARTICIPANTS: Indicators were documented in a random subsample (n = 123 patients) of the TRANSIT study population (n = 759). INTERVENTIONS: For every patient, the mean compliance to all indicators of a category (subscale score) and to the complete set of indicators (overall scale score) were established. To evaluate test-retest and inter-rater reliabilities, indicators were applied twice, two months apart, by the same evaluator and independently by different evaluators, respectively. To evaluate convergent validity, correlations between TRANSIT indicators, Burge et al. indicators and Institut national d'excellence en santé et en services sociaux (INESSS) indicators were examined. MAIN OUTCOME MEASURES: Test-retest reliability, inter-rater reliability, and convergent validity. RESULTS: Test-retest reliability, as measured by intraclass correlation coefficients (ICCs) was equal to 0.99 (0.99-0.99) for the overall scale score while inter-rater reliability was equal to 0.95 (0.93-0.97) for the overall scale score. Convergent validity, as measured by Pearson's correlation coefficients, was equal to 0.77 (P < 0.001) for the overall scale score when the TRANSIT indicators were compared to Burge et al. indicators and to 0.82 (P < 0.001) for the overall scale score when the TRANSIT indicators were compared to INESSS indicators. CONCLUSIONS: Reliability was excellent except for eleven indicators while convergent validity was strong except for domains related to the management of CVD risk factors.

Facilitating Implementation of Interprofessional Collaborative Practices Into Primary Care: A Trilogy of Driving Forces.

Implementing interprofessional collaborative practices in primary care is challenging, and research about its facilitating factors remains scarce. The goal of this participatory action research study was to better understand the driving forces during the early stage of the implementation process of a community-driven and patient-focused program in primary care titled "TRANSforming InTerprofessional cardiovascular disease prevention in primary care" (TRANSIT). Eight primary care clinics in Quebec, Canada, agreed to participate by creating and implementing an interprofessional facilitation team (IFT). Sixty-three participants volunteered to be part of an IFT, and 759 patients agreed to participate. We randomized six clinics into a supported facilitation ("supported") group, with an external facilitator (EF) and financial incentives for participants. We assigned two clinics to an unsupported facilitation ("unsupported") group, with no EF or financial incentives. After 3 months, we held one interview for the two EFs. After 6 months, we held eight focus groups with IFT members and another interview with each EF. The analyses revealed three key forces: (1) opportunity for dialogue through the IFT, (2) active role of the EF, and (3) change implementation budgets. Decision-makers designing implementation plans for interprofessional programs should ensure that these driving forces are activated. Further research should examine how these forces affect interprofessional practices and patient outcomes.

Development of an interprofessional program for cardiovascular prevention in primary care: A participatory research approach.

BACKGROUND: The chronic care model provides a framework for improving the management of chronic diseases. Participatory research could be useful in developing a chronic care model-based program of interventions, but no one has as yet offered a description of precisely how to apply the approach. OBJECTIVES: An innovative, structured, multi-step participatory process was applied to select and develop (1) chronic care model-based interventions program to improve cardiovascular disease prevention that can be adapted to a particular regional context and (2) a set of indicators to monitor its implementation. METHODS: Primary care clinicians (n = 16), administrative staff (n = 2), patients and family members (n = 4), decision makers (n = 5), researchers, and a research coordinator (n = 7) took part in the process. Additional primary care actors (n = 26) validated the program. RESULTS: The program targets multimorbid patients at high or moderate risk of cardiovascular disease with uncontrolled hypertension, dyslipidemia or diabetes. It comprises interprofessional follow-up coordinated by case-management nurses, in which motivated patients are referred in a timely fashion to appropriate clinical and community resources. The program is supported by clinical tools and includes training in motivational interviewing. A set of 89 process and clinical indicators were defined. CONCLUSION: Through a participatory process, a contextualized interventions program to optimize cardiovascular disease prevention and a set of quality indicators to monitor its implementation were developed. Similar approach might be used to develop other health programs in primary care if program developers are open to building on community strengths and priorities.

Healthcare professionals' adoption and use of a clinical information system (CIS) in primary care: insights from the Da Vinci study.

UNLABELLED: Given the increasing prevalence of multimorbidity in primary care (PC), interdisciplinary PC teams supported by appropriate clinical information systems (CIS) are needed in order to deal with the complexity of multimorbid patients' care. Our team has developed such a system, called the Da Vinci system. However, despite the expected benefits, evidence suggests generally low rates of CIS adoption. To optimize adoption in PC settings, a better understanding of the implementation process of such systems is crucial. PURPOSE: To identify user profiles, investigate the drivers of and barriers to adoption and use of the Da Vinci system, a PC tailored CIS, and understand the dynamics of the CIS adoption for each profile. METHODS: Using a longitudinal approach, we conducted a qualitative study (individual interviews, documentation and observation) based on the Diffusion of Innovation theory. It included 31 participants (primary care physicians, staff or residents, nurses, pharmacists) from two Family Medicine Groups in Quebec (Canada). RESULTS: The different user profiles drawn from the dynamics of implementation are linked to different sets of perceived drivers and barriers that evolve over time. Certain factors favour the decision of adopting Da Vinci early on: e.g. user skills and the system's expected ease of use and usefulness. Certain concerns hinder its adoption: e.g. perceived negative impact on the doctor-patient relationship. Over time, 5 factors appear to be related to more advanced exploitation of the system's functionalities: user skills, ease of use, comfort using the system in front of patients, support from colleagues and, more importantly, perceived positive impacts. CONCLUSIONS: A better understanding of the dynamics of CIS implementation provides insight into how best to encourage clinicians to adopt and make full use of such systems to improve the quality of care for multimorbid patients followed in PC settings.