Cargando…

Relationship between changes in the public health nurses’ workforce and the empirical Bayes estimates of standardized mortality ratio: a longitudinal ecological study of municipalities in Japan

BACKGROUND: The role of public health nurses (PHNs) in the community is expected to become increasingly important, along with the promotion of a comprehensive community care system. However, a comprehensive study of all municipalities is yet to be undertaken, and the relationship between the workfor...

Descripción completa

Detalles Bibliográficos
Autores principales: Kodama, Shimpei, Uwatoko, Futoshi, Koriyama, Chihaya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022064/
https://www.ncbi.nlm.nih.gov/pubmed/36932374
http://dx.doi.org/10.1186/s12913-023-09273-2
_version_ 1784908646369460224
author Kodama, Shimpei
Uwatoko, Futoshi
Koriyama, Chihaya
author_facet Kodama, Shimpei
Uwatoko, Futoshi
Koriyama, Chihaya
author_sort Kodama, Shimpei
collection PubMed
description BACKGROUND: The role of public health nurses (PHNs) in the community is expected to become increasingly important, along with the promotion of a comprehensive community care system. However, a comprehensive study of all municipalities is yet to be undertaken, and the relationship between the workforce of PHNs and health indicators is yet to be clarified. This study examined the effect of workforce change among PHNs, one of the structural indicators of PHNs’ activities regarding changes in the empirical Bayes estimate of standardized mortality ratios (EBSMRs). METHODS: An ecological study was conducted using municipality-level aggregate data. The data used were publicly available Japanese government statistics. The first-difference model of panel data analysis was used to examine the relationship between changes in EBSMR and changes in the number of PHNs per 100,000 population from 2010 to 2015, adjusting for the effects of population and other healthcare resources, including the number of physicians, medical clinics, general hospitals, and welfare facilities. The variation by the 47 prefectures was added to the linear model as a random effect. We also performed a sensitivity analysis using the full Bayesian inference using the Besag-York-Mollie model. RESULTS: For males, EBSMRs for all causes and malignant neoplasms significantly decreased with an increase in the number of PHNs per population (coefficients: -1.00 and -0.89, p values: 0.008 and 0.043, respectively). For females, although all EBSMRs except malignant neoplasms showed decreased tendencies due to the increase in the number of PHNs per population, none of them were significant. The full Bayesian inference confirmed these associations. CONCLUSIONS: An increase in the number of PHNs per population was significantly associated with a greater reduction in deaths from all causes and malignant neoplasms in males. The results of the full Bayesian inference also suggest that the workforce of PHNs may be related to changes in standardized mortality ratios for deaths from all causes in females. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-09273-2.
format Online
Article
Text
id pubmed-10022064
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-100220642023-03-18 Relationship between changes in the public health nurses’ workforce and the empirical Bayes estimates of standardized mortality ratio: a longitudinal ecological study of municipalities in Japan Kodama, Shimpei Uwatoko, Futoshi Koriyama, Chihaya BMC Health Serv Res Research Article BACKGROUND: The role of public health nurses (PHNs) in the community is expected to become increasingly important, along with the promotion of a comprehensive community care system. However, a comprehensive study of all municipalities is yet to be undertaken, and the relationship between the workforce of PHNs and health indicators is yet to be clarified. This study examined the effect of workforce change among PHNs, one of the structural indicators of PHNs’ activities regarding changes in the empirical Bayes estimate of standardized mortality ratios (EBSMRs). METHODS: An ecological study was conducted using municipality-level aggregate data. The data used were publicly available Japanese government statistics. The first-difference model of panel data analysis was used to examine the relationship between changes in EBSMR and changes in the number of PHNs per 100,000 population from 2010 to 2015, adjusting for the effects of population and other healthcare resources, including the number of physicians, medical clinics, general hospitals, and welfare facilities. The variation by the 47 prefectures was added to the linear model as a random effect. We also performed a sensitivity analysis using the full Bayesian inference using the Besag-York-Mollie model. RESULTS: For males, EBSMRs for all causes and malignant neoplasms significantly decreased with an increase in the number of PHNs per population (coefficients: -1.00 and -0.89, p values: 0.008 and 0.043, respectively). For females, although all EBSMRs except malignant neoplasms showed decreased tendencies due to the increase in the number of PHNs per population, none of them were significant. The full Bayesian inference confirmed these associations. CONCLUSIONS: An increase in the number of PHNs per population was significantly associated with a greater reduction in deaths from all causes and malignant neoplasms in males. The results of the full Bayesian inference also suggest that the workforce of PHNs may be related to changes in standardized mortality ratios for deaths from all causes in females. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-09273-2. BioMed Central 2023-03-17 /pmc/articles/PMC10022064/ /pubmed/36932374 http://dx.doi.org/10.1186/s12913-023-09273-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Kodama, Shimpei
Uwatoko, Futoshi
Koriyama, Chihaya
Relationship between changes in the public health nurses’ workforce and the empirical Bayes estimates of standardized mortality ratio: a longitudinal ecological study of municipalities in Japan
title Relationship between changes in the public health nurses’ workforce and the empirical Bayes estimates of standardized mortality ratio: a longitudinal ecological study of municipalities in Japan
title_full Relationship between changes in the public health nurses’ workforce and the empirical Bayes estimates of standardized mortality ratio: a longitudinal ecological study of municipalities in Japan
title_fullStr Relationship between changes in the public health nurses’ workforce and the empirical Bayes estimates of standardized mortality ratio: a longitudinal ecological study of municipalities in Japan
title_full_unstemmed Relationship between changes in the public health nurses’ workforce and the empirical Bayes estimates of standardized mortality ratio: a longitudinal ecological study of municipalities in Japan
title_short Relationship between changes in the public health nurses’ workforce and the empirical Bayes estimates of standardized mortality ratio: a longitudinal ecological study of municipalities in Japan
title_sort relationship between changes in the public health nurses’ workforce and the empirical bayes estimates of standardized mortality ratio: a longitudinal ecological study of municipalities in japan
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022064/
https://www.ncbi.nlm.nih.gov/pubmed/36932374
http://dx.doi.org/10.1186/s12913-023-09273-2
work_keys_str_mv AT kodamashimpei relationshipbetweenchangesinthepublichealthnursesworkforceandtheempiricalbayesestimatesofstandardizedmortalityratioalongitudinalecologicalstudyofmunicipalitiesinjapan
AT uwatokofutoshi relationshipbetweenchangesinthepublichealthnursesworkforceandtheempiricalbayesestimatesofstandardizedmortalityratioalongitudinalecologicalstudyofmunicipalitiesinjapan
AT koriyamachihaya relationshipbetweenchangesinthepublichealthnursesworkforceandtheempiricalbayesestimatesofstandardizedmortalityratioalongitudinalecologicalstudyofmunicipalitiesinjapan