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      Continuity of care is associated with satisfaction with local health care services

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          Abstract

          Background

          Satisfaction is a major element in assessing quality of care. It has decreased in Finland in recent decades as well as continuity of care. We investigated which demographic, health-related, and local health care service factors, especially continuity of care, are associated with the population’s satisfaction with local health care services.

          Methods

          The data are part of the Health and Social Support (HeSSup) study’s follow-up questionnaire in 2012. The study is based on a random Finnish population sample. Satisfaction was studied based on the question “How satisfied are you with your local health care services?” Demographic factors, obesity, self-assessed health status, depressive mood (BDI-12 questionnaire), New York Heart Association class, and chronic diseases were asked in the questionnaire. Questions describing local health care services were also presented. We assessed the association of an assigned and named GP and the respondents’ proactivity in contacting the same doctor with satisfaction. We used crosstabulation and binary logistic regression in the analyses.

          Results

          The Health and Social Support study was answered in 2012 by 15,993 participants (45.4%) and majority (61.3%) was satisfied with their local health care services. An assigned and named GP (OR 1.79; 95% CI 1.67–1.92) and the respondent’s proactivity in contacting the same doctor (OR 1.23; 95% CI 1.15–1.32) were associated with satisfaction in the adjusted multivariate analysis. BDI score < 19 had the strongest association with satisfaction (OR 1.91; 95% CI 1.65–2.23). Older participants, males, and those in a relationship were more likely to be satisfied.

          Conclusions

          A named GP in primary care proved to have a positive correlation with patient satisfaction. Depression was associated with decreased satisfaction. A named GP indicates continuity of care, and it should be seriously considered when planning treatment for patients with chronic conditions.

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          Most cited references28

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          Why Summary Comorbidity Measures Such As the Charlson Comorbidity Index and Elixhauser Score Work.

          Comorbidity adjustment is an important component of health services research and clinical prognosis. When adjusting for comorbidities in statistical models, researchers can include comorbidities individually or through the use of summary measures such as the Charlson Comorbidity Index or Elixhauser score. We examined the conditions under which individual versus summary measures are most appropriate.
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            Trust in the health care professional and health outcome: A meta-analysis

            Objective To examine whether patients’ trust in the health care professional is associated with health outcomes. Study selection We searched 4 major electronic databases for studies that reported quantitative data on the association between trust in the health care professional and health outcome. We screened the full-texts of 400 publications and included 47 studies in our meta-analysis. Data extraction and data synthesis We conducted random effects meta-analyses and meta-regressions and calculated correlation coefficients with corresponding 95% confidence intervals. Two interdependent researchers assessed the quality of the included studies using the Strengthening the Reporting of Observational Studies in Epidemiology guidelines. Results Overall, we found a small to moderate correlation between trust and health outcomes (r = 0.24, 95% CI: 0.19–0.29). Subgroup analyses revealed a moderate correlation between trust and self-rated subjective health outcomes (r = 0.30, 0.24–0.35). Correlations between trust and objective (r = -0.02, -0.08–0.03) as well as observer-rated outcomes (r = 0.10, -0.16–0.36) were non-significant. Exploratory analyses showed a large correlation between trust and patient satisfaction and somewhat smaller correlations with health behaviours, quality of life and symptom severity. Heterogeneity was small to moderate across the analyses. Conclusions From a clinical perspective, patients reported more beneficial health behaviours, less symptoms and higher quality of life and to be more satisfied with treatment when they had higher trust in their health care professional. There was evidence for upward bias in the summarized results. Prospective studies are required to deepen our understanding of the complex interplay between trust and health outcomes.
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              Non-response and related factors in a nation-wide health survey.

              To analyse selective factors associated with an unexpectedly low response rate. The baseline questionnaire survey of a large prospective follow-up study on the psychosocial health of the Finnish working-aged randomly chosen population resulted in 21,101 responses (40.0%) in 1998. The non-respondent analysis used demographic and health-related population characteristics from the official statistics and behavioural, physical and mental health-related outcome differences between early and late respondents to predict possible non-response bias. Reasons for non-response, indicated by missing responses of late respondents, and factors affecting the giving of consent were also analysed. The probability of not responding was greater for men, older age groups, those with less education, divorced and widowed respondents, and respondents on disability pension. The physical health-related differences between the respondents and the general population were small and could be explained by differences in definitions. The late respondents smoked and used more psychopharmaceutical drugs than the early ones, suggesting similar features in non-respondents. The sensitive issues had a small effect on the response rate. The consent to use a medical register-based follow-up was obtained from 94.5% of the early and 90.9% of the late respondents (odds ratio: 1.70; 95% confidence interval: 1.49-1.93). Consent was more likely among respondents reporting current smoking, heavy alcohol use, panic disorder or use of tranquillisers. The main reasons for non-response may be the predisposing sociodemographic and behavioural factors, the length and sensitive nature of the questionnaire to some extent, and a suspicion of written consent and a connection being made between the individual and the registers mentioned on the consent form.
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                Author and article information

                Contributors
                emmi.lautamatti@tuni.fi
                markku.sumanen@tuni.fi
                risto.raivio@phhyky.fi
                kari.j.mattila@tuni.fi
                Journal
                BMC Fam Pract
                BMC Fam Pract
                BMC Family Practice
                BioMed Central (London )
                1471-2296
                4 September 2020
                4 September 2020
                2020
                : 21
                : 181
                Affiliations
                [1 ]GRID grid.502801.e, ISNI 0000 0001 2314 6254, Faculty of Medicine and Health Technology, , Tampere University, Tampere and Centre for General Practice of the Pirkanmaa Hospital District, ; Tampere, Finland
                [2 ]Päijät-Häme Joint Authority for Health and Wellbeing, Primary Health Care, Lahti, Finland
                Author information
                http://orcid.org/0000-0002-9665-9605
                Article
                1251
                10.1186/s12875-020-01251-5
                7487808
                32887566
                92d66652-a72b-489c-bef0-87c593d49679
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 8 April 2020
                : 25 August 2020
                Funding
                Funded by: The Finnish Association for General Practice
                Funded by: General Practitioners in Finland (GPF)
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2020

                Medicine
                primary health care,population-based,patient satisfaction,continuity of care,depression,health care services,questionnaire study,general practice,finland

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