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The effects of non-adherence on health care utilisation: panel data evidence on uncontrolled diabetes

Research output: Working paper

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The effects of non-adherence on health care utilisation: panel data evidence on uncontrolled diabetes. / Gil, Joan; Sicras-Mainar, Antoni; Zucchelli, Eugenio.
York: Health, Econometrics and Data Group (HEDG), University of York , 2016.

Research output: Working paper

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Gil J, Sicras-Mainar A, Zucchelli E. The effects of non-adherence on health care utilisation: panel data evidence on uncontrolled diabetes. York: Health, Econometrics and Data Group (HEDG), University of York . 2016 Jun.

Author

Gil, Joan ; Sicras-Mainar, Antoni ; Zucchelli, Eugenio. / The effects of non-adherence on health care utilisation : panel data evidence on uncontrolled diabetes. York : Health, Econometrics and Data Group (HEDG), University of York , 2016.

Bibtex

@techreport{a390eb998646412fb2396acf6945273e,
title = "The effects of non-adherence on health care utilisation: panel data evidence on uncontrolled diabetes",
abstract = "Despite size and relevance of non-adherence to health treatments, robust evidence on its effects on health care utilisation is very limited. We focus on non-adherence to diabetes treatments, a widespread problem, and employ longitudinal administrative data from Spain (2004-2010) to identify and quantify the effects of uncontrolled type 2 diabetes on health care utilisation. We use a biomarker (glycated haemoglobin, HbA1c) to detect the presence of uncontrolled diabetes and explore its effects on both primary and secondary health care. We estimate a range of panel count data models, including negative binomials with random effects, dynamic and hurdle specifications to account for unobserved heterogeneity, previous utilisation and selection. We find uncontrolled diabetes in around 30% of patients of both genders. Although women appear to systematically consume more health care compared to men, their consumption levels do not appear to be influenced by uncontrolled diabetes. Conversely, among men uncontrolled diabetes increases the average number of GP visits per year by around 4%, specialist visits by 4.4% and greatly extends hospital length of stay.",
keywords = "non-adherence, diabetes, biomarkers, health care utilisation, panel count data",
author = "Joan Gil and Antoni Sicras-Mainar and Eugenio Zucchelli",
year = "2016",
month = jun,
language = "English",
publisher = "Health, Econometrics and Data Group (HEDG), University of York ",
type = "WorkingPaper",
institution = "Health, Econometrics and Data Group (HEDG), University of York ",

}

RIS

TY - UNPB

T1 - The effects of non-adherence on health care utilisation

T2 - panel data evidence on uncontrolled diabetes

AU - Gil, Joan

AU - Sicras-Mainar, Antoni

AU - Zucchelli, Eugenio

PY - 2016/6

Y1 - 2016/6

N2 - Despite size and relevance of non-adherence to health treatments, robust evidence on its effects on health care utilisation is very limited. We focus on non-adherence to diabetes treatments, a widespread problem, and employ longitudinal administrative data from Spain (2004-2010) to identify and quantify the effects of uncontrolled type 2 diabetes on health care utilisation. We use a biomarker (glycated haemoglobin, HbA1c) to detect the presence of uncontrolled diabetes and explore its effects on both primary and secondary health care. We estimate a range of panel count data models, including negative binomials with random effects, dynamic and hurdle specifications to account for unobserved heterogeneity, previous utilisation and selection. We find uncontrolled diabetes in around 30% of patients of both genders. Although women appear to systematically consume more health care compared to men, their consumption levels do not appear to be influenced by uncontrolled diabetes. Conversely, among men uncontrolled diabetes increases the average number of GP visits per year by around 4%, specialist visits by 4.4% and greatly extends hospital length of stay.

AB - Despite size and relevance of non-adherence to health treatments, robust evidence on its effects on health care utilisation is very limited. We focus on non-adherence to diabetes treatments, a widespread problem, and employ longitudinal administrative data from Spain (2004-2010) to identify and quantify the effects of uncontrolled type 2 diabetes on health care utilisation. We use a biomarker (glycated haemoglobin, HbA1c) to detect the presence of uncontrolled diabetes and explore its effects on both primary and secondary health care. We estimate a range of panel count data models, including negative binomials with random effects, dynamic and hurdle specifications to account for unobserved heterogeneity, previous utilisation and selection. We find uncontrolled diabetes in around 30% of patients of both genders. Although women appear to systematically consume more health care compared to men, their consumption levels do not appear to be influenced by uncontrolled diabetes. Conversely, among men uncontrolled diabetes increases the average number of GP visits per year by around 4%, specialist visits by 4.4% and greatly extends hospital length of stay.

KW - non-adherence

KW - diabetes

KW - biomarkers

KW - health care utilisation

KW - panel count data

M3 - Working paper

BT - The effects of non-adherence on health care utilisation

PB - Health, Econometrics and Data Group (HEDG), University of York

CY - York

ER -