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1.
BMC Fam Pract ; 14: 72, 2013 May 31.
Article in English | MEDLINE | ID: mdl-23725212

ABSTRACT

BACKGROUND: Continuity is a fundamental tenet of primary care, and highly valued by patients; it may also improve patient outcomes and lower cost of health care. It is thus important to investigate factors that predict higher continuity. However, to date, little is known about the factors that contribute to continuity. The purpose of this study was to analyse practice, provider and patient predictors of continuity of care in a large sample of primary care practices in Ontario, Canada. Another goal was to assess whether there was a difference in the continuity of care provided by different models of primary care. METHODS: This study is part of the larger a cross-sectional study of 137 primary care practices, their providers and patients. Several performance measures were evaluated; this paper focuses on relational continuity. Four items from the Primary Care Assessment Tool were used to assess relational continuity from the patient's perspective. RESULTS: Multilevel modeling revealed several patient factors that predicted continuity. Older patients and those with chronic disease reported higher continuity, while those who lived in rural areas, had higher education, poorer mental health status, no regular provider, and who were employed reported lower continuity. Providers with more years since graduation had higher patient-reported continuity. Several practice factors predicted lower continuity: number of MDs, nurses, opening on weekends, and having 24 hours a week or less on-call. Analyses that compared continuity across models showed that, in general, Health Service Organizations had better continuity than other models, even when adjusting for patient demographics. CONCLUSIONS: Some patients with greater health needs experience greater continuity of care. However, the lower continuity reported by those with mental health issues and those who live in rural areas is concerning. Furthermore, our finding that smaller practices have higher continuity suggests that physicians and policy makers need to consider the fact that 'bigger is not always necessarily better'.


Subject(s)
Continuity of Patient Care , Physician-Patient Relations , Primary Health Care/standards , Chronic Disease , Continuity of Patient Care/economics , Cross-Sectional Studies , Female , Health Status Indicators , Humans , Male , Ontario , Physicians, Family/psychology , Primary Health Care/organization & administration , Quality Assurance, Health Care/methods , Rural Population , Socioeconomic Factors
2.
Fam Pract ; 27(5): 535-41, 2010 Oct.
Article in English | MEDLINE | ID: mdl-20534791

ABSTRACT

BACKGROUND: Comprehensiveness, a defining feature of primary care (PC) is associated with patient satisfaction and improved health status. This paper evaluates comprehensive services in fee-for-service (FFS), Health Service Organizations (HSOs), Family Health Networks (FHNs) and Community Health Centres (CHCs) payment models in Ontario. OBJECTIVES: To assess how organizational models of PC differ in the delivery of comprehensive services and which organizational factors predict comprehensive PC delivery. METHODS: Cross-sectional mixed-method study with nested qualitative case studies. SETTING: PC practices in Ontario. PARTICIPANTS: One hundred and thirty-seven PC practices (35 FFS, 32 HSO, 35 FHN and 35 CHC) and 358 providers. INSTRUMENTS: Surveys based on the Primary Care Assessment Tool and qualitative interviews. OUTCOME MEASURES: Comprehensiveness scores were calculated from practice report of clinical services offered in women's health, psychosocial counselling, procedural and diagnostic services. Confounding variables were calculated from provider and patient surveys. Performance at a model level was compared using analysis of variance. Multiple regressions then established factors independently associated with comprehensiveness. RESULTS: CHCs offered significantly more comprehensive services (74%) than other models (61%-63%; P < 0.005). Thirty-five per cent of the variance in comprehensiveness was explained by a regression model that included the number of family physicians working at the practice, presence of other allied health providers, rurality and length of practice operation. CONCLUSIONS: Practice size and diversity of providers seemed to partially explain the better performance of CHCs. Practice setting and, probably, practice maturity are significant drivers in the provision of comprehensive PC services. These factors warrant further examination in other PC environments.


Subject(s)
Primary Health Care/organization & administration , Analysis of Variance , Community Health Services/organization & administration , Community Health Services/standards , Community Networks/organization & administration , Community Networks/standards , Cross-Sectional Studies , Fee-for-Service Plans/organization & administration , Fee-for-Service Plans/standards , Health Care Surveys , Health Maintenance Organizations/organization & administration , Health Maintenance Organizations/standards , Humans , Linear Models , Models, Organizational , Ontario , Primary Health Care/standards , Quality of Health Care/organization & administration
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