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

Table 4 Relationship between changes in EBSMRs and PHNs (n = 1601)

Variables of change (2015–2010)	Changes in PHNs (2015–2010)
	All PHN model			Full-time and part-time PHN model
	All PHNs^b			Full-time PHNs^b		Part-time PHNs^b
	Coef^c	P-value	[AIC]	Coef^c	P-value	Coef^c	P-value
EBSMRs in males^a
All causes of death	-1.00	0.008	[10135.1]	-0.98	0.005	0.06	0.727
Malignant neoplasms	-0.89	0.043	[10614.9]	-0.85	0.038	-0.18	0.403
Heart disease in males	0.79	0.354	[12716.1]	0.46	0.558	-0.15	0.728
Cerebrovascular disease	-0.97	0.373	[13511.8]	-0.81	0.417	1.042	0.050
EBSMRs in females^a
All causes of death	-0.38	0.416	[10749.3]	-0.06	0.894	0.06	0.778
Malignant neoplasms	0.71	0.194	[11211.7]	1.32	0.009	-0.35	0.188
Heart disease	-0.76	0.405	[12902.8]	-0.74	0.377	-0.04	0.930
Cerebrovascular disease	-1.11	0.329	[13645.6]	-0.41	0.698	0.70	0.206

AIC Akaike's information criterion, Coef Coefficient, EBSMR Empirical Bayes estimate of standardized mortality ratio, PHN Public health nurse
^a Dependent variables
^b Per 100,000 population (logarithmic transformed)
^c Coefficients are adjusted for random effects by prefecture and fixed effects by change of the number of population (logarithmic transformed) and healthcare resources per 100,000 population (2015–2010): physicians, medical clinics, general hospitals in a secondary healthcare area, and welfare facilities for the elderly requiring long-term care

ISSN: 1472-6963