Evidence map›Paper›PMID 34806188›Full record

ArticleHealth services research2022

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

David Grembowski, Sungwon Lim, Athena Pantazis, Betty Bekemeier

Open access · greenAbstract read
In one paragraph

Article in Health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

David GrembowskiDepartment of Health Systems and Population Health, University of Washington, Hans Rosling Center, Seattle, Washington, USA.ORCID 0000-0003-4209-0019
Sungwon LimDepartment of Child, Family and Population Health Nursing, School of Nursing, University of Washington, Seattle, Washington, USA.
Athena Pantazis
Betty BekemeierDepartment of Health Systems and Population Health, University of Washington, Hans Rosling Center, Seattle, Washington, USA.
University of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo 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. DATA SOURCES: 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. STUDY

designWe 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). DATA COLLECTION: The secondary data were combined to build a longitudinal panel database for LHDs in Florida and Washington from 2001 to 2017. PRINCIPAL

findingsIn 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).

conclusionsIn 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.

Indexed as

Sexually Transmitted DiseasesHealth ExpendituresHumansLocal GovernmentLongitudinal StudiesState GovernmentWashingtonArellano-Bond estimatorinstrumental variableslocal health departmentspublic health expenditurespublic health systems researchsexually transmitted disease

Identifiers

PMID34806188
PMCPMC9108077
OpenAlexW3215340096

What OpenQuestion holds

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Registered trials

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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.