Regional differences in the patient population of general practices in northern Germany

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Regional differences in the patient population of general practices in northern Germany : results of a mixed-methods study. / Hansen, Heike; Schäfer, Ingmar; Pohontsch, Nadine Janis; Kazek, Agata; Hardt, Hanna; Lühmann, Dagmar; Scherer, Martin.

in: BMJ OPEN, Jahrgang 10, Nr. 11, 27.11.2020, S. e041762.

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@article{7c196879db6a4fd29ac3d9926a30ad2f,
title = "Regional differences in the patient population of general practices in northern Germany: results of a mixed-methods study",
abstract = "OBJECTIVES: The aim of our study was to explore patient types in general practitioner (GP) practices and to quantify the regional differences of the frequencies of these patient types in northern Germany.DESIGN AND SETTING: We conducted a mixed-methods study based on focus groups and standardised interviews with GPs. All counties and independent cities within a radius of 120 km around Hamburg were assigned one of three regional categories (urban areas, environs, rural areas). The focus groups were analysed using qualitative content analysis. Relative frequencies of consultations by patient types and differences between the regions were calculated. Logistic regression analyses were used to identify differences among regions.PARTICIPANTS: Nine focus groups with 65 GPs (67.7% male). From the 280 initially recruited GPs 211 (65.4% male) could be personally interviewed.RESULTS: Four themes with 27 patient types were derived from the focus groups: patients classified by morbidity, sociodemographic characteristics, special care needs and patient behaviour. Five patient characteristics were significantly more prevalent in urban areas than rural areas: patients with migration background and culturally different disease concepts (OR 1.23; 95% CI 1.06 to 1.42), privately insured patients (OR 1.17; 95% CI 1.05 to 1.31), educationally disadvantaged patients with low health literacy (OR 1.11; 95% CI 1.04 to 1.19), patients with psychiatric disorders (OR 1.07; 95% CI 1.02 to 1.12) and senior citizens living on their own without caregivers (OR 1.05; 95% CI 1.05 to 1.31). Three patient types were significantly less prevalent in urban areas: minors accompanied by their parents (OR 0.71; 95% CI 0.61 to 0.83), patients with poor therapy adherence (OR 0.87, 95% CI 0.80 to 0.95) and patients with dementia (OR 0.90; 95% CI 0.82 to 0.99).CONCLUSIONS: GPs could compensate the specific needs of their patients with medical training aligned with the requirements of their region. Urban GPs need skills treating patients with psychiatric, social and cultural problems, rural GPs regarding the care for children or noncompliant patients.TRIAL REGISTRATION NUMBER: NCT02558322.",
author = "Heike Hansen and Ingmar Sch{\"a}fer and Pohontsch, {Nadine Janis} and Agata Kazek and Hanna Hardt and Dagmar L{\"u}hmann and Martin Scherer",
note = "Hanna Hardt ist wissenschaftliche Mitarbeiterin bei uns, aber leider noch nicht im FIS hinterlegt - k{\"o}nnten Sie sie bitte als intern markieren?",
year = "2020",
month = nov,
day = "27",
doi = "10.1136/bmjopen-2020-041762",
language = "English",
volume = "10",
pages = "e041762",
journal = "BMJ OPEN",
issn = "2044-6055",
publisher = "British Medical Journal Publishing Group",
number = "11",

}

RIS

TY - JOUR

T1 - Regional differences in the patient population of general practices in northern Germany

T2 - results of a mixed-methods study

AU - Hansen, Heike

AU - Schäfer, Ingmar

AU - Pohontsch, Nadine Janis

AU - Kazek, Agata

AU - Hardt, Hanna

AU - Lühmann, Dagmar

AU - Scherer, Martin

N1 - Hanna Hardt ist wissenschaftliche Mitarbeiterin bei uns, aber leider noch nicht im FIS hinterlegt - könnten Sie sie bitte als intern markieren?

PY - 2020/11/27

Y1 - 2020/11/27

N2 - OBJECTIVES: The aim of our study was to explore patient types in general practitioner (GP) practices and to quantify the regional differences of the frequencies of these patient types in northern Germany.DESIGN AND SETTING: We conducted a mixed-methods study based on focus groups and standardised interviews with GPs. All counties and independent cities within a radius of 120 km around Hamburg were assigned one of three regional categories (urban areas, environs, rural areas). The focus groups were analysed using qualitative content analysis. Relative frequencies of consultations by patient types and differences between the regions were calculated. Logistic regression analyses were used to identify differences among regions.PARTICIPANTS: Nine focus groups with 65 GPs (67.7% male). From the 280 initially recruited GPs 211 (65.4% male) could be personally interviewed.RESULTS: Four themes with 27 patient types were derived from the focus groups: patients classified by morbidity, sociodemographic characteristics, special care needs and patient behaviour. Five patient characteristics were significantly more prevalent in urban areas than rural areas: patients with migration background and culturally different disease concepts (OR 1.23; 95% CI 1.06 to 1.42), privately insured patients (OR 1.17; 95% CI 1.05 to 1.31), educationally disadvantaged patients with low health literacy (OR 1.11; 95% CI 1.04 to 1.19), patients with psychiatric disorders (OR 1.07; 95% CI 1.02 to 1.12) and senior citizens living on their own without caregivers (OR 1.05; 95% CI 1.05 to 1.31). Three patient types were significantly less prevalent in urban areas: minors accompanied by their parents (OR 0.71; 95% CI 0.61 to 0.83), patients with poor therapy adherence (OR 0.87, 95% CI 0.80 to 0.95) and patients with dementia (OR 0.90; 95% CI 0.82 to 0.99).CONCLUSIONS: GPs could compensate the specific needs of their patients with medical training aligned with the requirements of their region. Urban GPs need skills treating patients with psychiatric, social and cultural problems, rural GPs regarding the care for children or noncompliant patients.TRIAL REGISTRATION NUMBER: NCT02558322.

AB - OBJECTIVES: The aim of our study was to explore patient types in general practitioner (GP) practices and to quantify the regional differences of the frequencies of these patient types in northern Germany.DESIGN AND SETTING: We conducted a mixed-methods study based on focus groups and standardised interviews with GPs. All counties and independent cities within a radius of 120 km around Hamburg were assigned one of three regional categories (urban areas, environs, rural areas). The focus groups were analysed using qualitative content analysis. Relative frequencies of consultations by patient types and differences between the regions were calculated. Logistic regression analyses were used to identify differences among regions.PARTICIPANTS: Nine focus groups with 65 GPs (67.7% male). From the 280 initially recruited GPs 211 (65.4% male) could be personally interviewed.RESULTS: Four themes with 27 patient types were derived from the focus groups: patients classified by morbidity, sociodemographic characteristics, special care needs and patient behaviour. Five patient characteristics were significantly more prevalent in urban areas than rural areas: patients with migration background and culturally different disease concepts (OR 1.23; 95% CI 1.06 to 1.42), privately insured patients (OR 1.17; 95% CI 1.05 to 1.31), educationally disadvantaged patients with low health literacy (OR 1.11; 95% CI 1.04 to 1.19), patients with psychiatric disorders (OR 1.07; 95% CI 1.02 to 1.12) and senior citizens living on their own without caregivers (OR 1.05; 95% CI 1.05 to 1.31). Three patient types were significantly less prevalent in urban areas: minors accompanied by their parents (OR 0.71; 95% CI 0.61 to 0.83), patients with poor therapy adherence (OR 0.87, 95% CI 0.80 to 0.95) and patients with dementia (OR 0.90; 95% CI 0.82 to 0.99).CONCLUSIONS: GPs could compensate the specific needs of their patients with medical training aligned with the requirements of their region. Urban GPs need skills treating patients with psychiatric, social and cultural problems, rural GPs regarding the care for children or noncompliant patients.TRIAL REGISTRATION NUMBER: NCT02558322.

U2 - 10.1136/bmjopen-2020-041762

DO - 10.1136/bmjopen-2020-041762

M3 - SCORING: Journal article

C2 - 33247029

VL - 10

SP - e041762

JO - BMJ OPEN

JF - BMJ OPEN

SN - 2044-6055

IS - 11

ER -