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The Causal Effect of Community Hospitals on General Hospital Admissions. Evaluation of a Natural Experiment Using Register Data Cover

The Causal Effect of Community Hospitals on General Hospital Admissions. Evaluation of a Natural Experiment Using Register Data

By: Terje P. Hagen and  Trond Tjerbo  
Open Access
|May 2023

Figures & Tables

Table 1a

Average monthly admissions per 1000 inhabitants. Population ≥ 80 years. Weighted by municipal population (2010–2017).

VARIABLES20102011201220132014201520162017
Acute admissions, Medical departments1.761.721.711.701.701.681.651.66
Acute admissions, Surgery departments0.310.300.290.290.280.280.290.28
Acute day stay, Medical departments0.070.070.070.070.010.010.010.01
Acute day stay, Surgical departments0.020.020.020.020.090.080.080.09
Elective admissions, Medical departments0.230.240.240.250.270.270.260.25
Elective admissions, Surgical departments0.250.250.250.250.270.270.270.27
Elective day stay, Medical departments0.070.050.050.040.010.010.010.01
Elective day stay, Surgical departments0.360.320.320.300.330.330.340.35
Table 1b

Average monthly admissions per 1000 inhabitants. Population <80 years. Weighted by municipal population (2010–2017).

VARIABLES20102011201220132014201520162017
Acute admissions, Medical departments6.025.875.805.785.735.755.665.67
Acute admissions, Surgery departments1.931.881.891.831.801.841.811.80
Acute day stay, Medical departments0.630.620.650.630.030.020.030.02
Acute day stay, Surgical departments0.320.310.290.280.860.860.840.84
Elective admissions, Medical departments2.032.122.092.122.052.072.052.02
Elective admissions, Surgical departments2.272.322.312.332.402.382.412.36
Elective day stay, Medical departments0.910.780.710.610.050.040.040.04
Elective day stay, Surgical departments3.603.643.663.544.104.033.823.80
Figure 1

Number of acute wards in Norwegian municipalities, 2010–2017 (N = 425).

Table 2

Independent variables. Average per year, 2010–2017. Weighted by municipal population.

INDEPENDENT VARIABLES20102011201220132014201520162017
Nursing home places (per 1000 inhab.)11.8411.8411.8211.6911.5611.2911.2911.31
GPs (per 1000 inhabitants)0.960.960.991.021.021.041.051.05
Population >= 80 years (% of total)5.495.435.365.305.255.235.225.24
Population < 80 years (% of total)94.5194.5794.6494.7094.7594.7794.7894.76
Inhabitants1169311851120081214912287124071251312599
MAW0.010.010.050.300.520.690.940.97
PREP0.010.010.040.160.230.330.450.46
Table 3a

Use of hospital services, patients >=80 years. Elasticities from fixed effects analyses.

VARIABLESACUTEELECTIVE
ADMISSIONSDAY STAYSADMISSIONSDAY STAYS
MEDICAL DEPARTMENTSSURGICAL DEPARTMENTSMEDICAL DEPART-MENTSSURGICAL DEPARTMENTSMEDICAL DEPARTMENTSSURGICAL DEPARTMENTSMEDICAL DEPARTMENTSSURGICAL DEPARMENTS
Intercept–1.50**–0.631.94**–2.31**0.620.078.73**–9.48**
(log) Nursing home places0.03*0.000.03**–0.00–0.01–0.02*0.13**–0.10**
(log) GPs0.030.000.01–0.000.010.03*0.10**–0.03*
(log) Population >=80 years0.56**0.13**0.08**0.010.09**0.13**0.31**0.03
(log) Population < 80 years
(log) Inhabitants0.14**0.06–0.20**0.23**0.070.01–0.93**0.94**
MAW–0.03**0.00–0.00*0.01**0.000.00–0.01**0.00
Fixed effects: MunicipalitiesYesYesYesYesYesYesYesYes
Fixed effects: YearYesYesYesYesYesYesYesYes
Fixed effects: Monthyesyesyesyesyesyesyesyes
Adj. R20.490.110.340.330.220.180.500.30

[i] */** = Significant at 0,05/0,01-level.

Table 3b

Demand for hospital services, patients <80 years. Elasticities from fixed effects analyses.

VARIABLESACUTEELECTIVE
ADMISSIONSDAY STAYSADMISSIONSDAY STAYS
MEDICAL DEPARTMENTSSURGICAL DEPARTMENTSMEDICAL DEPART-MENTSSURGICAL DEPARTMENTSMEDICAL DEPART-MENTSSURGICAL DEPARTMENTSMEDICAL DEPARTMENTSSURGICAL DEPART-MENTS
Intercept10.02**–37.19**19.37**7.73**–22.84**33.17**5.07*–15.36**
(log) Nursing home places0.06**–0.17**0.07**0.07**–0.020.17**0.03**–0.00
(log) GPs0.05**–0.06**0.10**0.01–0.010.06**0.14**–0.09**
(log) Population >=80 years
(log) Population < 80 years–1.43**6.38**–2.37**–2.81**4.98**–4.49**2.40**2.20**
(log) Inhabitants–0.18**0.92**0.83**0.54**0.08–1.18**1.65**0.65**
MAW–0.01**–0.00–0.01**0.01**0.000.01*0.02**0.01**
Fixed effects: MunicipalitiesYesYesYesYesYesYesYesYes
Fixed effects: YearYesYesYesYesYesYesYesYes
Fixed effects: MonthYesYesYesYesYesYesYesYes
Adj. R20.550.290.540.670.550.550.770.72

[i] */** = Significant at 0,05/0,01-level.

Table 4

Demand for acute hospital admissions at internal medicine departments. Elasticities from fixed effects analyses.

VARIABLESADMISSIONS
≥80 YEARS<80 YEARS
Intercept–1.62**9.20**
(log) Nursing home places0.03*0.06**
(log) GPs0.03**0.05**
(log) Population > = 80 years0.55
(log) Population < 80 years–1.25**
(log) Inhabitants0.15**–0.18**
MAW–0.02**0.01
MAW * PREP–0.01*–0.02**
Fixed effects: MunicipalitiesYesYes
Fixed effects: YearYesYes
Fixed effects: Monthyesyes
Adj. R20.490.55

[i] */** = Significant at 0,05/0,01-level.

DOI: https://doi.org/10.5334/ijic.6515 | Journal eISSN: 1568-4156
Language: English
Submitted on: Jan 24, 2022
Accepted on: Apr 21, 2023
Published on: May 3, 2023
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2023 Terje P. Hagen, Trond Tjerbo, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.