Modelling of resource allocation to health care authorities in Stockholm county

Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

Standard

Modelling of resource allocation to health care authorities in Stockholm county. / Andersson, Paula; Varde, E; Diderichsen, Finn.

I: Health Care Management Science, Bind 3, Nr. 2, 2000, s. 141-9.

Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

Harvard

Andersson, P, Varde, E & Diderichsen, F 2000, 'Modelling of resource allocation to health care authorities in Stockholm county', Health Care Management Science, bind 3, nr. 2, s. 141-9. https://doi.org/10.1023/a:1019045408441

APA

Andersson, P., Varde, E., & Diderichsen, F. (2000). Modelling of resource allocation to health care authorities in Stockholm county. Health Care Management Science, 3(2), 141-9. https://doi.org/10.1023/a:1019045408441

Vancouver

Andersson P, Varde E, Diderichsen F. Modelling of resource allocation to health care authorities in Stockholm county. Health Care Management Science. 2000;3(2):141-9. https://doi.org/10.1023/a:1019045408441

Author

Andersson, Paula ; Varde, E ; Diderichsen, Finn. / Modelling of resource allocation to health care authorities in Stockholm county. I: Health Care Management Science. 2000 ; Bind 3, Nr. 2. s. 141-9.

Bibtex

@article{664a26c5d1f74c719b81495d678e8ad1,
title = "Modelling of resource allocation to health care authorities in Stockholm county",
abstract = "Since the Stockholm County Council introduced a system of purchasers and providers there has been a quest for population-based resource allocation models to allocate monies to purchasers of health care. In contrast to models used in Britain, Swedish models have been based on individual level data. This paper presents recent developments in the model used in Stockholm for all care except primary care, testing new statistical methods for compression and clustering of the matrices used and the effect of introducing diagnostic information in addition to the demographic and socio-economic information used before. We also show the effect of using more current data sources by replacing existing census variables with data from annually updated registers. Since the aim is to use the resource allocation models for prospective budgeting we test and evaluate the predictive power of the models one to two years ahead. Moreover, two calibration methods are compared: Cross-sectional modelling, based on data for one year only, versus prospective modelling, using population characteristics for one year and registered health-care costs for a following year. While models including diagnostic information are deemed valuable, the prospective models yield little improvement. Further, although it takes a combination of new variables to replace the census based model, the resulting model now implemented by Stockholm County Council has fewer estimated parameters.",
keywords = "Adolescent, Adult, Aged, Aged, 80 and over, Child, Child, Preschool, Cluster Analysis, Community Health Planning, Diagnosis-Related Groups, Forecasting, Health Care Rationing, Hospital Costs, Humans, Infant, Middle Aged, Models, Econometric, National Health Programs, Needs Assessment, Registries, Reproducibility of Results, Residence Characteristics, Socioeconomic Factors, Sweden",
author = "Paula Andersson and E Varde and Finn Diderichsen",
year = "2000",
doi = "10.1023/a:1019045408441",
language = "English",
volume = "3",
pages = "141--9",
journal = "Health Care Management Science",
issn = "1386-9620",
publisher = "Springer",
number = "2",

}

RIS

TY - JOUR

T1 - Modelling of resource allocation to health care authorities in Stockholm county

AU - Andersson, Paula

AU - Varde, E

AU - Diderichsen, Finn

PY - 2000

Y1 - 2000

N2 - Since the Stockholm County Council introduced a system of purchasers and providers there has been a quest for population-based resource allocation models to allocate monies to purchasers of health care. In contrast to models used in Britain, Swedish models have been based on individual level data. This paper presents recent developments in the model used in Stockholm for all care except primary care, testing new statistical methods for compression and clustering of the matrices used and the effect of introducing diagnostic information in addition to the demographic and socio-economic information used before. We also show the effect of using more current data sources by replacing existing census variables with data from annually updated registers. Since the aim is to use the resource allocation models for prospective budgeting we test and evaluate the predictive power of the models one to two years ahead. Moreover, two calibration methods are compared: Cross-sectional modelling, based on data for one year only, versus prospective modelling, using population characteristics for one year and registered health-care costs for a following year. While models including diagnostic information are deemed valuable, the prospective models yield little improvement. Further, although it takes a combination of new variables to replace the census based model, the resulting model now implemented by Stockholm County Council has fewer estimated parameters.

AB - Since the Stockholm County Council introduced a system of purchasers and providers there has been a quest for population-based resource allocation models to allocate monies to purchasers of health care. In contrast to models used in Britain, Swedish models have been based on individual level data. This paper presents recent developments in the model used in Stockholm for all care except primary care, testing new statistical methods for compression and clustering of the matrices used and the effect of introducing diagnostic information in addition to the demographic and socio-economic information used before. We also show the effect of using more current data sources by replacing existing census variables with data from annually updated registers. Since the aim is to use the resource allocation models for prospective budgeting we test and evaluate the predictive power of the models one to two years ahead. Moreover, two calibration methods are compared: Cross-sectional modelling, based on data for one year only, versus prospective modelling, using population characteristics for one year and registered health-care costs for a following year. While models including diagnostic information are deemed valuable, the prospective models yield little improvement. Further, although it takes a combination of new variables to replace the census based model, the resulting model now implemented by Stockholm County Council has fewer estimated parameters.

KW - Adolescent

KW - Adult

KW - Aged

KW - Aged, 80 and over

KW - Child

KW - Child, Preschool

KW - Cluster Analysis

KW - Community Health Planning

KW - Diagnosis-Related Groups

KW - Forecasting

KW - Health Care Rationing

KW - Hospital Costs

KW - Humans

KW - Infant

KW - Middle Aged

KW - Models, Econometric

KW - National Health Programs

KW - Needs Assessment

KW - Registries

KW - Reproducibility of Results

KW - Residence Characteristics

KW - Socioeconomic Factors

KW - Sweden

U2 - 10.1023/a:1019045408441

DO - 10.1023/a:1019045408441

M3 - Journal article

C2 - 10780282

VL - 3

SP - 141

EP - 149

JO - Health Care Management Science

JF - Health Care Management Science

SN - 1386-9620

IS - 2

ER -

ID: 40344552