Measuring cost-effectiveness of secondary health care: feasibility and potential utilization of results.
OBJECTIVE
Whether cost-effectiveness of secondary health care can be measured in a simple, yet commensurate way was studied.


METHODS
Approximately 4,900 patients' health-related quality of life scores before and after treatment were measured. Used were a combination of quality of life data with diagnostic and financial indicators routinely collected in the hospital.


RESULTS
Seventy percent of patients returned the first questionnaire and the informed written consent to participate. Of these patients, 80 percent also returned the second questionnaire sent out 3 to 12 months after treatment, depending on clinical specialty and diagnostic category. The routine of sending out questionnaires could be automated in such a way that data collection required only a limited amount of extra work. Patients were generally satisfied with the fact that the hospital was interested in their well-being also after treatment. No physician offered the chance to participate refused data collection in the patient group he or she was responsible for. The attitudes of the nursing staff were generally positive toward data collection, although it caused some extra work for some of them. The possibility of relating already routinely collected financial performance indicators with a relevant measure of treatment effectiveness, opened prospects for refined analysis of cost-effectiveness of secondary health care.


CONCLUSIONS
Routine collection of health-related quality of life data as an indicator of treatment effectiveness is feasible, requires only a small amount of extra work, and is potentially very useful when combined with existing measures of hospital performance.
Räsänen
Pirjo
P
Helsinki and Uusimaa Hospital Group, Finland. pirjo.rasanen@hus.fi
Sintonen
Harri
H
Ryynänen
Olli-Pekka
OP
Blom
Marja
M
Semberg-Konttinen
Virpi
V
Roine
Risto P
RP
D003362:Cost-Benefit Analysis; D003625:Data Collection / Q000191:economics; D005240:Feasibility Studies; D005260:Female; D006291:Health Policy; D006305:Health Status Indicators; D006801:Humans; D008297:Male; D017063:Outcome Assessment, Health Care / Q000191:economics*; D011788:Quality of Life; D011795:Surveys and Questionnaires