Evidence map›Paper›PMID 38997673›Full record

ArticleBMC primary care2024

The impact of patient registration on utilisation and quality of care: a propensity score matching and staggered difference-in-differences analysis of a cohort of 16,775 people with type 2 diabetes.

Valerie Moran, Michela Bia, Patrick Thill, Marc Suhrcke, Ellen Nolte, Eric Burlot, Guy Fagherazzi

Abstract read
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Article in BMC primary care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Valerie MoranSocio-Economic and Environmental Health and Health Services Research Group, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg. valerie.moran@lih.lu.
Michela BiaLabour Market Department, Luxembourg Institute of Socio-Economic Research, Belval, Luxembourg.
Patrick ThillLabour Market Department, Luxembourg Institute of Socio-Economic Research, Belval, Luxembourg.
Marc SuhrckeSocio-Economic and Environmental Health and Health Services Research Group, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg.
Ellen NolteDepartment of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK.
Eric BurlotNomenclature, Conventions, Analysis and Forecasting Department, National Health Fund, Luxembourg, Luxembourg.
Guy FagherazziDeep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg.

Funding

Luxembourg National Research Fund C19/BM/13723812
6 · The paper itself

Abstract

backgroundIn 2012, Luxembourg introduced a Referring Doctor (RD) policy, whereby patients voluntarily register with a primary care practitioner, who coordinates patients' health care and ensures optimal follow-up. We contribute to the limited evidence base on patient registration by evaluating the effects of the RD policy.

methodsWe used data on 16,775 people with type 2 diabetes on oral medication (PWT2D), enrolled with the Luxembourg National Fund from 2010 to 2018. We examined the utilisation of primary and specialist outpatient care, quality of care process indicators, and reimbursed prescribed medicines over the short- (until 2015) and medium-term (until 2018). We used propensity score matching to identify comparable groups of patients with and without an RD. We applied difference-in-differences methods that accounted for patients' registration with an RD in different years.

resultsThere was low enrolment of PWT2D in the RD programme. The differences-in-differences parallel trends assumption was not met for: general practitioner (GP) consultations, GP home visits (medium-term), HbA1c test (short-term), complete cholesterol test (short-term), kidney function (urine) test (short-term), and the number of repeat prescribed cardiovascular system medicines (short-term). There was a statistically significant increase in the number of: HbA1c tests (medium-term: 0.09 (95% CI: 0.01 to 0.18)); kidney function (blood) tests in the short- (0.10 (95% CI: 0.01 to 0.19)) and medium-term (0.11 (95% CI: 0.03 to 0.20)); kidney function (urine) tests (medium-term: 0.06 (95% CI: 0.02 to 0.10)); repeat prescribed medicines in the short- (0.19 (95% CI: 0.03 to 0.36)) and medium-term (0.18 (95% CI: 0.02 to 0.34)); and repeat prescribed cardiovascular system medicines (medium-term: 0.08 (95% CI: 0.01 to 0.15)). Sensitivity analyses also revealed increases in kidney function (urine) tests (short-term: 0.07 (95% CI: 0.03 to 0.11)) and dental consultations (short-term: 0.06, 95% CI: 0.00 to 0.11), and decreases in specialist consultations (short-term: -0.28, 95% CI: -0.51 to -0.04; medium-term: -0.26, 95% CI: -0.49 to -0.03).

conclusionsThe RD programme had a limited effect on care quality indicators and reimbursed prescribed medicines for PWT2D. Future research should extend the analysis beyond this cohort and explore data linkage to include clinical outcomes and socio-economic characteristics.

Indexed as

Diabetes Mellitus, Type 2Propensity ScoreQuality of Health CareReferral and ConsultationAgedCohort StudiesFemaleHumansMaleMiddle AgedPrimary Health CareHealth insurance claims dataPatient registrationPrimary care reformPropensity score matchingStaggered difference-in-differencesType 2 diabetes

Identifiers

PMID38997673
PMCPMC11245844

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.