BACKGROUND: Patient satisfaction is of increasing importance, is taken into account when planning services, and is used by healthcare providers as a measure of healthcare quality. Satisfaction with medical care, including diabetic care, has been associated with various health-related behaviours and outcomes that have a direct bearing on health and illness. The association between satisfaction and health outcomes is poorly understood. AIM: The aim of the study was to determine whether there is an association between satisfaction in patients with Type 2 diabetes and the outcome of their diabetic care, and to determine the contribution of different aspects of satisfaction with the primary care. METHODS: Patients with Type 2 diabetes were identified from two general practices in Leeds. PATIENTS: scores on the General Practice Assessment Survey Questionnaire (GPAS) were correlated with the outcome of care, as measured by HbA1c level collected from patients? medical records. RESULTS: Data from 106 patients were analysed. There was a generally high satisfaction rate for all GPAS domains. The correlation between different GPAS domains and HbA1c level showed significant positive correlations (P < 0.001) for continuity of care, trust and overall satisfaction; and positive correlations (P < 0.01) for access, receptionists, interpersonal care, communication skills, knowledge of patient about the doctor, technical care, and practice nursing. CONCLUSION: The findings from this study demonstrate that there is an association between satisfaction and outcome in diabetes, which goes across all the GPAS domains. This suggests that processes that can act to increase patient satisfaction may be contributing to improved clinical outcomes. More development work is needed in this field to explore and elucidate the complex relationship between satisfaction and clinical outcomes.

OBJECTIVE: To assess the contribution of primary care systems to a variety of health outcomes in 18 wealthy Organization for Economic Cooperation and Development (OECD) countries over three decades. DATA SOURCES/STUDY SETTING: Data were primarily derived from OECD Health Data 2001 and from published literature. The unit of analysis is each of 18 wealthy OECD countries from 1970 to 1998 (total n = 504). STUDY DESIGN: Pooled, cross-sectional, time-series analysis of secondary data using fixed effects regression. DATA COLLECTION/EXTRACTION METHODS: Secondary analysis of public-use datasets. Primary care system characteristics were assessed using a common set of indicators derived from secondary datasets, published literature, technical documents, and consultation with in-country experts. PRINCIPAL FINDINGS: The strength of a country?s primary care system was negatively associated with (a) all-cause mortality, (b) all-cause premature mortality, and (c) cause-specific premature mortality from asthma and bronchitis, emphysema and pneumonia, cardiovascular disease, and heart disease (p<0.05 in fixed effects, multivariate regression analyses). This relationship was significant, albeit reduced in magnitude, even while controlling for macro-level (GDP per capita, total physicians per one thousand population, percent of elderly) and micro-level (average number of ambulatory care visits, per capita income, alcohol and tobacco consumption) determinants of population health. CONCLUSIONS: (1) Strong primary care system and practice characteristics such as geographic regulation, longitudinality, coordination, and community orientation were associated with improved population health. (2) Despite health reform efforts, few OECD countries have improved essential features of their primary care systems as assessed by the scale used here. (3) The proposed scale can also be used to monitor health reform efforts intended to improve primary care.

0022-1767 (Print) Clinical Trial Clinical Trial, Phase I Journal Article

0269-9370 (Print) Clinical Trial Clinical Trial, Phase I Controlled Clinical Trial Journal Article

DA - 19950113 IS - 0888-7470 (Print) LA - eng PT - Journal Article PT - Review SB - B SB - S

DA - 20000531 IS - 0006-3592 (Print) LA - eng PT - Journal Article RN - 0 (Antigens, CD28) RN - 0 (Antigens, CD3) RN - 0 (Receptors, Interleukin-2) RN - 126880-86-2 (L-Selectin) SB - IM