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Demographic and practice factors predicting repeated non-attendance in primary care: a national retrospective cohort analysis

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Demographic and practice factors predicting repeated non-attendance in primary care : a national retrospective cohort analysis. / Ellis, David Alexander; McQueenie, Ross; McConnachie, Alex ; Wilson, Philip; Williamson , Andrea.

In: Lancet Public Health, Vol. 2, No. 12, 04.12.2017, p. e551-559.

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Ellis, DA, McQueenie, R, McConnachie, A, Wilson, P & Williamson , A 2017, 'Demographic and practice factors predicting repeated non-attendance in primary care: a national retrospective cohort analysis', Lancet Public Health, vol. 2, no. 12, pp. e551-559. https://doi.org/10.1016/S2468-2667(17)30217-7

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Ellis, David Alexander ; McQueenie, Ross ; McConnachie, Alex ; Wilson, Philip ; Williamson , Andrea. / Demographic and practice factors predicting repeated non-attendance in primary care : a national retrospective cohort analysis. In: Lancet Public Health. 2017 ; Vol. 2, No. 12. pp. e551-559.

Bibtex

@article{ce20d5baab844251a423f47751d7a4d4,
title = "Demographic and practice factors predicting repeated non-attendance in primary care: a national retrospective cohort analysis",
abstract = "BackgroundAddressing the causes of low engagement in health care is a prerequisite for reducing public health inequalities. People who miss multiple appointments are an under-researched group who have low engagement and place an additional financial strain on healthcare systems around the word. Individual-level patterns of missed general practice appointments may provide a risk marker for vulnerability and poor health outcomes. However, research to date has only considered non-attendance across small samples or using population-based rather than individual patient-level designs. This limited characterisation of an at-risk population makes it difficult to recommend new interventions that aim to increase patient engagement. We therefore aimed to ascertain whether patient and practice factors contributed to the likelihood of missing general practice appointments.MethodsWe have quantified appointment attendance history accurately in a large retrospective cohort of patients (N=550,083) extracted from routinely collected general practice data across Scotland. FindingsWe observed that 19·0% of patients missed more than 2 appointments on average per year. After controlling for the number of appointments made, patterns of non-attendance could be differentiated, with patients who were male (relative risk ratio (RRR) 1.05, 95% Confidence Intervals (CIs) 1.04-1.06) , aged between 16-30 (1.21 (1.19-1.23)) or over 90 years of age (2.20 (2.09-2.29)), and of low-socioeconomic status (SIMD 1 2.27(2.22-2.31)) significantly more likely to miss multiple appointments. Practice factors also play a substantial role when predicting attendance patterns. Urban practices in affluent areas that typically have appointment waiting times of 2-3 days were more likely to contain patients who serially miss appointments.InterpretationThese findings – that both patient and practice behaviour contribute to non-attendance – raise important questions for both the management of patients who miss multiple appointments and the effectiveness of existing strategies that aim to increase attendance. Addressing these issues would, in turn, lead to improvements for public health.",
author = "Ellis, {David Alexander} and Ross McQueenie and Alex McConnachie and Philip Wilson and Andrea Williamson",
year = "2017",
month = dec,
day = "4",
doi = "10.1016/S2468-2667(17)30217-7",
language = "English",
volume = "2",
pages = "e551--559",
journal = "Lancet Public Health",
issn = "2468-2667",
publisher = "Elsevier",
number = "12",

}

RIS

TY - JOUR

T1 - Demographic and practice factors predicting repeated non-attendance in primary care

T2 - a national retrospective cohort analysis

AU - Ellis, David Alexander

AU - McQueenie, Ross

AU - McConnachie, Alex

AU - Wilson, Philip

AU - Williamson , Andrea

PY - 2017/12/4

Y1 - 2017/12/4

N2 - BackgroundAddressing the causes of low engagement in health care is a prerequisite for reducing public health inequalities. People who miss multiple appointments are an under-researched group who have low engagement and place an additional financial strain on healthcare systems around the word. Individual-level patterns of missed general practice appointments may provide a risk marker for vulnerability and poor health outcomes. However, research to date has only considered non-attendance across small samples or using population-based rather than individual patient-level designs. This limited characterisation of an at-risk population makes it difficult to recommend new interventions that aim to increase patient engagement. We therefore aimed to ascertain whether patient and practice factors contributed to the likelihood of missing general practice appointments.MethodsWe have quantified appointment attendance history accurately in a large retrospective cohort of patients (N=550,083) extracted from routinely collected general practice data across Scotland. FindingsWe observed that 19·0% of patients missed more than 2 appointments on average per year. After controlling for the number of appointments made, patterns of non-attendance could be differentiated, with patients who were male (relative risk ratio (RRR) 1.05, 95% Confidence Intervals (CIs) 1.04-1.06) , aged between 16-30 (1.21 (1.19-1.23)) or over 90 years of age (2.20 (2.09-2.29)), and of low-socioeconomic status (SIMD 1 2.27(2.22-2.31)) significantly more likely to miss multiple appointments. Practice factors also play a substantial role when predicting attendance patterns. Urban practices in affluent areas that typically have appointment waiting times of 2-3 days were more likely to contain patients who serially miss appointments.InterpretationThese findings – that both patient and practice behaviour contribute to non-attendance – raise important questions for both the management of patients who miss multiple appointments and the effectiveness of existing strategies that aim to increase attendance. Addressing these issues would, in turn, lead to improvements for public health.

AB - BackgroundAddressing the causes of low engagement in health care is a prerequisite for reducing public health inequalities. People who miss multiple appointments are an under-researched group who have low engagement and place an additional financial strain on healthcare systems around the word. Individual-level patterns of missed general practice appointments may provide a risk marker for vulnerability and poor health outcomes. However, research to date has only considered non-attendance across small samples or using population-based rather than individual patient-level designs. This limited characterisation of an at-risk population makes it difficult to recommend new interventions that aim to increase patient engagement. We therefore aimed to ascertain whether patient and practice factors contributed to the likelihood of missing general practice appointments.MethodsWe have quantified appointment attendance history accurately in a large retrospective cohort of patients (N=550,083) extracted from routinely collected general practice data across Scotland. FindingsWe observed that 19·0% of patients missed more than 2 appointments on average per year. After controlling for the number of appointments made, patterns of non-attendance could be differentiated, with patients who were male (relative risk ratio (RRR) 1.05, 95% Confidence Intervals (CIs) 1.04-1.06) , aged between 16-30 (1.21 (1.19-1.23)) or over 90 years of age (2.20 (2.09-2.29)), and of low-socioeconomic status (SIMD 1 2.27(2.22-2.31)) significantly more likely to miss multiple appointments. Practice factors also play a substantial role when predicting attendance patterns. Urban practices in affluent areas that typically have appointment waiting times of 2-3 days were more likely to contain patients who serially miss appointments.InterpretationThese findings – that both patient and practice behaviour contribute to non-attendance – raise important questions for both the management of patients who miss multiple appointments and the effectiveness of existing strategies that aim to increase attendance. Addressing these issues would, in turn, lead to improvements for public health.

U2 - 10.1016/S2468-2667(17)30217-7

DO - 10.1016/S2468-2667(17)30217-7

M3 - Journal article

VL - 2

SP - e551-559

JO - Lancet Public Health

JF - Lancet Public Health

SN - 2468-2667

IS - 12

ER -