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      Is the health of people living in rural areas different from those in cities? Evidence from routine data linked with the Scottish Health Survey

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          Abstract

          Background

          To examine the association between rurality and health in Scotland, after adjusting for differences in individual and practice characteristics.

          Methods

          Design: Mortality and hospital record data linked to two cross sectional health surveys. Setting: Respondents in the community-based 1995 and 1998 Scottish Health Survey who consented to record-linkage follow-up. Main outcome measures: Hypertension, all-cause premature mortality, total hospital stays and admissions due to coronary heart disease (CHD).

          Results

          Older age and lower social class were strongly associated with an increased risk of each of the four health outcomes measured. After adjustment for individual and practice characteristics, no consistent pattern of better or poorer health in people living in rural areas was found, compared to primary cities. However, individuals living in remote small towns had a lower risk of a hospital admission for CHD and those in very remote rural had lower mortality, both compared with those living in primary cities.

          Conclusion

          This study has shown how linked data can be used to explore the possible influence of area of residence on health. We were unable to find a consistent pattern that people living in rural areas have materially different health to that of those living in primary cities. Instead, we found stronger relationships between compositional determinants (age, gender and socio-economic status) and health than contextual factors (including rurality).

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          Most cited references45

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          Consultation length in general practice: cross sectional study in six European countries.

          To compare determinants of consultation length discussed in the literature with those found in consultations with general practitioners from different European countries; to explore the determinants of consultation length, particularly the effect of doctors' and patients' perceptions of psychosocial aspects. Analysis of videotaped consultations of general practitioners from the Eurocommunication study and of questionnaires completed by doctors and by patients. General practices in six European countries. 190 general practitioners and 3674 patients. In a multilevel analysis with three levels (country, general practitioner, and patient), country and doctor variables contributed a similar amount to the total variance in consultation length (23% and 22%, respectively) and patient variables accounted for 55% of the variance. The variables used in the multilevel analysis explained 25% of the total variation. The country in which the doctor practised, combined with the doctors' variables, was as important for the variance in consultation length as the variation between patients. Consultations in which psychosocial problems were considered important by the doctor and the patient lasted longer than consultations about biomedical problems only. The doctor's perception had more influence in this situation than the patient's. Consultation length is influenced by the patients' sex (women got longer consultations), whether the practice was urban or rural, the number of new problems discussed in the consultation (the more problems the longer the consultation), and the patient's age (the older the patient the longer the consultation). As a doctor's workload increased, the length of consultations decreased. The general practitioner's sex or age and patient's level of education were not related to the length of consultation. Consultation length is determined by variables related to the doctor and the doctor's country as well as by those related to patients. Women consulting in an urban practice with problems perceived as psychosocial have longer consultations than other patients.
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            Continuity of care, self-management behaviors, and glucose control in patients with type 2 diabetes.

            The influence of continuity of care on outcomes of care for patients with type 2 diabetes is poorly understood. To examine the relationships between continuity, glucose control, and advancement through stages of change for self-management behaviors. Prospective cohort study. Five community health centers on the Texas-Mexico border. A random sample of 256 adults, 18 years of age and older with an established diagnosis of type 2 diabetes. Stage of change for diet and exercise were assessed during two patient interviews, averaging 18.9 months apart. Phlebotomy was performed at each interview to measure glycosolated hemoglobin (HbA1C). Medical records were abstracted for ambulatory care utilization. A continuity score was calculated based on the number of visits and number of providers seen. Patients who advanced one or more stages of change for diet had higher levels of continuity. As continuity improved, the change in HbA1C was smaller. (r = -0.25; P <0.001) This relationship remained significant after controlling for number of visits, months since diagnosis, number of days in the study, duration of diabetes, and advancement in stage of change for diet. Advancement through stage of change for diet explained a significant amount of the variance in the relationship between continuity and HbA1C (t test = -11.33; P <0.01). Continuity of care with a primary care provider is associated with better glucose control among patients with type 2 diabetes. This relationship appears to be mediated by changes in patient behavior regarding diet.
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              Urban-rural mental health differences in great Britain: findings from the national morbidity survey.

              Studies of urban-rural differences in prevalence of non-psychotic mental disorder have not given consistent findings. Such differences have received relatively little study in Great Britain. Data from 9777 subjects in the Household Survey of the National Morbidity Survey of Great Britain were analysed for differences between urban, semi-rural and rural areas. Psychiatric morbidity was assessed by scores on the Revised Clinical Interview Schedule (CIS-R), together with alcohol dependence, drug dependence, receipt of treatment from general practitioners. Associations with other characteristics were examined by logistic regression. Urban subjects had higher rates than rural of CIS-R morbidity, alcohol dependence and drug dependence, with semi-rural subjects intermediate. Urban subjects also tended to be members of more deprived social groups, with more adverse living circumstances and greater life stress, factors themselves associated with disorder. Urban-rural differences in alcohol and drug dependence were no longer significant after adjustment for these factors by logistic regression, and differences on CIS-R morbidity were considerably reduced. There were no differences in treatment. There are considerable British urban rural differences in mental health, which may largely be attributable to more adverse urban social environments.
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                Author and article information

                Journal
                BMC Health Serv Res
                BMC Health Services Research
                BioMed Central
                1472-6963
                2012
                17 February 2012
                : 12
                : 43
                Affiliations
                [1 ]Canadian Centre for Applied Research in Cancer Control (ARCC) "Advancing health economics, services, policy and ethics", #2-111, 675 West 10th Avenue, Cancer Research Centre, V5Z 1L3, Vancouver, BC, Canada
                [2 ]University of Aberdeen, Aberdeen, UK
                [3 ]University of Manchester, Manchester, UK
                [4 ]Faculty of Medicine, School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
                Article
                1472-6963-12-43
                10.1186/1472-6963-12-43
                3298709
                22340710
                8202937a-23e9-4f4d-9ccc-4975c52816fc
                Copyright ©2012 Teckle et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 9 June 2011
                : 17 February 2012
                Categories
                Research Article

                Health & Social care
                rural health,administrative data-linkage,survey methods,health determinants

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