Skip to main content

Table 5 Stratified analysis of the relationship between changes in EBSMRs and PHNs (n = 1601)

From: 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

Variables of change (2015–2010)

Stratified analysis by baseline population

Stratified analysis by baseline EBSMRs

Population < 10,000

Population ≥ 10,000

EBSMR < 100

EBSMR ≥ 100

(n = 470)

(n = 1131)

Coefb

P-value

Coefb

P-value

(n)

Coefb

P-value

(n)

Coefb

P-value

EBSMRs in malesa

 All causes of death

-1.81

0.009

-1.00

0.026

(780)

0.20

0.638

(821)

-1.90

0.001

 Malignant neoplasms

-2.41

0.005

0.02

0.966

(960)

-0.23

0.668

(641)

-1.59

0.015

 Heart disease in males

1.61

0.371

-0.38

0.676

(745)

1.16

0.188

(856)

-0.88

0.541

 Cerebrovascular disease

-2.18

0.321

-2.21

0.065

(755)

1.09

0.335

(846)

-2.43

0.128

EBSMRs in femalesa

 All causes of death

-0.96

0.309

-0.31

0.536

(844)

-0.95

0.084

(757)

-0.36

0.624

 Malignant neoplasms

-0.13

0.906

0.88

0.126

(1120)

0.47

0.442

(481)

-0.30

0.715

 Heart disease

-1.83

0.341

-0.91

0.352

(800)

-2.09

0.040

(801)

-0.18

0.909

 Cerebrovascular disease

-2.57

0.283

-1.53

0.203

(808)

-0.86

0.443

(793)

-0.52

0.780

  1. Coef Coefficient, EBSMR Empirical Bayes estimate of standardized mortality ratio, PHN Public health nurse
  2. a Dependent variables
  3. b Coefficients of PHNs per 100,000 population (logarithmic transformed) which 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