A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 143

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 143
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 209
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3098
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 574
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 488
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: Attempt to read property "Count" on bool

Filename: helpers/my_audit_helper.php

Line Number: 3100

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3100
Function: _error_handler

File: /var/www/html/application/controllers/Detail.php
Line: 574
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 488
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

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

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

Health Serv Res

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

Published: June 2022

AI Article Synopsis

  • The study aimed to analyze the relationship between annual STD spending per person and STD incidence rates in local health departments (LHDs) in Florida and Washington from 2001 to 2017 using different statistical models.
  • Using secondary data from state and federal sources, researchers created a longitudinal database to track trends in STD spending and incidence rates over time.
  • Results showed that while greater past spending was unexpectedly linked to higher STD rates in the generalized estimating equations (GEE) model, the Arellano-Bond model indicated a potential decrease in STD rates corresponding to increased spending, suggesting that this method may offer better insights for evaluating STD funding effectiveness.

Article Abstract

Objective: 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.

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 Design: 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).

Data Collection: The secondary data were combined to build a longitudinal panel database for LHDs in Florida and Washington from 2001 to 2017.

Principal Findings: 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).

Conclusions: 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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9108077PMC
http://dx.doi.org/10.1111/1475-6773.13915DOI Listing

Publication Analysis

Top Keywords

std incidence
16
incidence rates
16
florida washington
16
std spending
16
annual std
16
lhds florida
12
longitudinal panel
12
std
11
analytic approaches
8
sexually transmitted
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!

A PHP Error was encountered

Severity: Notice

Message: fwrite(): Write of 34 bytes failed with errno=28 No space left on device

Filename: drivers/Session_files_driver.php

Line Number: 272

Backtrace:

A PHP Error was encountered

Severity: Warning

Message: session_write_close(): Failed to write session data using user defined save handler. (session.save_path: /var/lib/php/sessions)

Filename: Unknown

Line Number: 0

Backtrace: