Analytic approaches to assess the impact of local spending on sexually transmitted diseases.

Arellano-Bond estimator instrumental variables local health departments public health expenditures public health systems research sexually transmitted disease

Journal

Health services research
ISSN: 1475-6773
Titre abrégé: Health Serv Res
Pays: United States
ID NLM: 0053006

Informations de publication

Date de publication:
06 2022
Historique:
revised: 31 08 2021
received: 01 04 2021
accepted: 04 11 2021
pubmed: 23 11 2021
medline: 18 5 2022
entrez: 22 11 2021
Statut: ppublish

Résumé

To compare the estimated associations between annual sexually transmitted diseases (STD) expenditures per capita and STD incidence rates among Florida and Washington local health departments (LHDs) from 2001 to 2017, using two approaches-a longitudinal regression model with lagged STD spending and a regression model with the Arellano-Bond panel estimator. Secondary data for LHDs were obtained from Florida and Washington state government offices and combined with county sociodemographic and health system data from the federal government. We examined LHDs in Florida and Washington using a longitudinal panel study design to estimate ecological relationships between annual STD expenditures per capita and annual STD incidence rates from 2001 to 2017, with LHDs as the unit of analysis. We compared two regression models: generalized estimating equations (GEE) and the Arellano-Bond panel estimator (an instrumental variable approach). The secondary data were combined to build a longitudinal panel database for LHDs in Florida and Washington from 2001 to 2017. In the GEE model with both states, greater STD spending in a prior year was associated unexpectedly with greater STD incidence rates in succeeding years. The Arellano-Bond models for both states had the expected inverse associations but were not significant. In the Arellano-Bond models for Florida, a $1 increase in STD spending in previous years was followed by decreases in STD incidence rates ranging between 29 and 58 points in succeeding years (0.09 ≥ p ≥ 0.04). In longitudinal panel data for LHDs in two states, the Arellano-Bond estimator, or other instrumental variable approach, is preferred over conventional regression models to obtain unbiased estimates of the relationship between annual STD spending rates and annual STD rates. Future studies will require accurate, standardized, and detailed longitudinal data and rigorous analytic approaches, such as those illustrated in our study.

Identifiants

pubmed: 34806188
doi: 10.1111/1475-6773.13915
pmc: PMC9108077
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

644-653

Informations de copyright

© 2021 Health Research and Educational Trust.

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Auteurs

David Grembowski (D)

Department of Health Systems and Population Health, University of Washington, Hans Rosling Center, Seattle, Washington, USA.

Sungwon Lim (S)

Department of Child, Family and Population Health Nursing, School of Nursing, University of Washington, Seattle, Washington, USA.

Betty Bekemeier (B)

Department of Health Systems and Population Health, University of Washington, Hans Rosling Center, Seattle, Washington, USA.
Department of Child, Family and Population Health Nursing, School of Nursing, University of Washington, Seattle, Washington, USA.

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