2019
DOI: 10.1186/s12889-018-6332-6
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Factors related to out-of-hours help-seeking for acute health problems: a survey study using case scenarios

Abstract: BackgroundThe acute out-of-hours healthcare services are challenged by increasing demand in many countries. We aimed to examine factors influencing the intended help-seeking in out-of-hours care for acute health problems during evenings, nights, and weekends.MethodsWe conducted a survey study based on data from parents of children (aged 0–4 years) and adults (aged 30–39 and 50–59 years) in Denmark, the Netherlands and Switzerland. Intended help-seeking behaviour was measured by six hypothetical case scenarios.… Show more

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Cited by 11 publications
(21 citation statements)
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“… 13 Simultaneously, a second paper has been written on factors related to intended help-seeking OOH. 14 We included a random selection of individuals from three age groups (ie, parents of children aged 0–4 years, adults aged 30–39 years and adults aged 50–59 years). Predefined age groups were preferred to ensure construction of explicit cases and to obtain sufficient power for identifying differences for each separate age group.…”
Section: Methodsmentioning
confidence: 99%
“… 13 Simultaneously, a second paper has been written on factors related to intended help-seeking OOH. 14 We included a random selection of individuals from three age groups (ie, parents of children aged 0–4 years, adults aged 30–39 years and adults aged 50–59 years). Predefined age groups were preferred to ensure construction of explicit cases and to obtain sufficient power for identifying differences for each separate age group.…”
Section: Methodsmentioning
confidence: 99%
“…The included sociodemographic variables were chosen based on existing literature reporting the importance of age, sex, ethnicity, family type, education level, income and socioeconomic classification (labor market affiliation) in relation to health care utilization. 5,13,15,[24][25][26][27] We used each citizen's unique PIN for linkage to numerous registries and databases. Age (divided into five groups), sex, residence, family type (collapsed into cohabiting or living alone) and ethnicity (Danish, Western, non-western) were gathered from the Civil Registration System.…”
Section: Variables and Data Sources Exposurementioning
confidence: 99%
“…Although using a different methodology, they found older age, female sex, ethnicity, low education and low income to be associated with OOH care contact, which is supported by our study. 13 Another larger survey study including data from 34 countries investigated the propensity to seek health care (GP during daytime) and found that older age, female sex, ethnicity (first-generation migrants) were predisposing factors for seeking health care. 14 Although the study investigated GP contact during daytime, their findings are in good agreement with our findings for OOH care.…”
Section: Comparison With Literaturementioning
confidence: 99%
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“…age, gender, ethnicity, employment status, income, education length and comorbidity). These factors have been found to relate to patient’s help-seeking behaviour and choice of entrance [24] as well as to mortality [25, 26]. Information on potential confounders was retrieved from Statistics Denmark [27] and the Danish National Patient Registry (i.e.…”
Section: Methodsmentioning
confidence: 99%