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Factors associated with the utilization and costs of health and social services in frail elderly patients
© Kehusmaa et al.; licensee BioMed Central Ltd. 2012
Received: 6 October 2011
Accepted: 26 June 2012
Published: 19 July 2012
Universal access is one of the major aims in public health and social care. Services should be provided on the basis of individual needs. However, municipal autonomy and the fragmentation of services may jeopardize universal access and lead to variation between municipalities in the delivery of services. This paper aims to identify patient-level characteristics and municipality-level service patterns that may have an influence on the use and costs of health and social services of frail elderly patients.
Hierarchical analysis was applied to estimate the effects of patient and municipality-level variables on services utilization.
The variation in the use of health care services was entirely due to patient-related variables, whereas in the social services, 9% of the variation was explained by the municipality-level and 91% by the patient-level characteristics. Health-related quality of life explained a major part of variation in the costs of health care services. Those who had reported improvement in their health status during the preceding year were more frequent users of social care services. Low informal support, poor functional status and poor instrumental activities of daily living, living at a residential home, and living alone were associated with higher social services expenditure.
The results of this study showed municipality-level variation in the utilization of social services, whereas health care services provided for frail elderly people seem to be highly equitable across municipalities.
Another important finding was that the utilization of social and health services were connected. Those who reported improvement in their health status during the preceding year were more frequently also using social services. This result suggests that if municipalities continue to limit the provision of support services only for those who are in the highest need, this saving in the social sector may, in the long run, result in increased costs of health care.
The population in European societies grows older and the importance of health and social services will increase. The elderly are disproportionate users of the health and social care system and this provides a major challenge to the planning of services for older people. Traditionally, the health care and social service sectors have operated separately. The growing demand for integrated services and the rising costs are leading to a more intensive collaboration between the health care and social service providers .
In Finland, social and health services are largely financed with public funds, and the principal goal is that services are equitably accessible to everyone . The stated national targets for services for over 75 years old people are: 92% are living at home independently or using appropriate health and welfare services, 14% are receiving regular home care, 5–6% are receiving informal care-support, and 8–9% are living in sheltered housing with 24-hour assistance or in long-term care in health centre hospitals .
When developing elderly care policies we need to know why people are using health and social care, and which factors are related to equitable access to care. Andersen’s behavioural model of health service use [4, 5] provides a useful theoretical framework for assessing the multiple dimensions of access to care. The model contains three sets of predictive factors: predisposing, enabling and need factors for explaining health services utilization. The model has been found useful in gerontological research as it can be adapted according to the research question . In our study we applied behavioural model to a sample of frail elderly persons to assess their use of services.
Previous studies have shown that age, functional ability, health status, chronic illnesses, and socio-economic factors have an influence on service utilization [6, 10–18]. The variation in service utilization may be considered appropriate when it occurs due to need-related factors like functional ability or health status. When variation is found in the use of services by regions after controlling for patient characteristics, inequities might exist in the distribution of care services. This may reflect variation in the supply of services and have a detrimental effect on the health outcomes . According to Andersen, unequal access occurs when social structure, health beliefs and enabling resources determine who will receive care .
Access to care is a multidimensional concept, and the utilization of services describes the use as “realized access” [4, 20]. Even when access is thought as being equal, individuals may make different choices in relation to the use of particular services. For example, informal care can substitute for formal care for older people.
The purpose of our study was to identify patient-level characteristics and municipality-level service patterns that may be associated with the use and costs of health and social services for frail elderly people.
Design and study population
Characteristics of the study population
n = 732
n = 215
n = 517
Age, mean (SD)
Male, n (%)
GDS, mean (SD)*
GDS 7–13, n (%)
MMSE, mean (SD)†
Declined cognitive capacity
MMSE <24, n (%)
HRQOL 15D, mean (SD)‡
FIM, mean (SD)§
Self rated health, n (%)
Neither good nor poor
Widowed, n (%)
Living alone, n (%)
Living in an urban area, n (%)
Perceiving health deterioration during preceding year, n (%)
Informal care, n (%)
Formal home help
visits/week, mean (SD)
Hospital admissions, n (%)
Visits to general
practitioner, mean (SD)
The present study was approved by the Ethical Committees of the SII and Turku University Hospital. All of the study participants gave their written consent to the study. The individual-level data were linked with data from the national databases of the Care Registers of the National Institute for Health and Welfare (THL) and the Social Insurance Institution (SII). The registry data aren’t publicly available.
Utilization of services
The utilization of health care services covered both the public and private sector care. Data on inpatient care and day case surgeries were drawn from the National Care Registers of the THL. Data on the use of outpatient care services within the private sector and the use of medicines were obtained from the SII registers. A self-reported questionnaire was used to collect information about the number of visits to the public sector outpatient care during the preceding year.
The utilization of social services covered institutional care and formal home-help services provided by municipalities. For those living in residential homes and sheltered housing, services such as home help, washing and cleaning were included in the analysis. For those who were living at home, formal home care, home nursing, and support services were included. Data on the utilization of social care services were obtained from questionnaires. We asked the municipal social and health care officials to collect data on service use from their clients’ individual care and service plans. The data derived from questionnaires were cross-sectional both at baseline and 12-month follow-up. For those cases where changes occurred in the use of services during the follow-up, the annual data consisted 6 months of services used at the baseline and 6 months of services used at the follow-up.
The total expenditure of health and social services utilization was determined by multiplying the use of services by their standard unit costs. For the monetary valuation of health and social care services, we used Finnish standard costs information . Because we used standard costs, any variation in the costs variables resulted from differences in the utilization of services.
Model 1:The costs of health care services and medicines (continuous variable, logarithm adjusted euro/year)
Model 2:The use of social care services (categorized into two groups; ‘yes’ if service use was observed and ‘no’ if otherwise)
Model 3:The costs of social care services used (categorized into three groups; under 1500, 1500–6000, or over 6000 euro/year)
Due to the fact that informal care is a common way to organize care for elderly, there were 240 subjects how did not use social services at all (‘No’ in MODEL 2). For those who used social services, living in sheltered housing causes stairwise effect to costs. Because the distribution was rising in steps and the assumptions of continuity did not hold, we categorized the costs of social care (MODEL 3).
Functional ability was assessed by the Functional Independence Measure (FIM), with the total score ranging from 18 (the lowest) to 126 (the highest level of independence) , and by the subject’s ability to perform the instrumental activities of daily living as measured by the IADL index, which varies between 7 and 21 (the higher the score, the more difficulties). Mood was measured by the Geriatric Depression Scale (GDS), where the maximum value is 15 and values 0–6 indicate non-depressiveness . Cognitive capacity was measured by the Mini Mental State Examination (MMSE), with the maximum value being 30 and values under 24 indicating dementia . The assessments were carried out by three accredited examiners.
Health-related quality of life (HRQoL) was evaluated by using the 15D score, ranging 0–1 (‘1’ indicates the best imaginable health) [27, 28]. To estimate the impact of recent changes in health status, the subjects were asked “How has your health status changed during the last year?” Three class variables were created from the five alternative responses: worse (“much worse”, “worse”), same (“no change”), and better (“better”, “much better”). The questionnaires were checked by the examiner and any incomplete sections were completed by interviewing the participants.
To assess the living conditions, the subjects were asked “Is your residential environment rural or urban?” (yes/no) and “Are you living alone?” (yes/no). The dwelling circumstances were categorized into three categories: home without formal home-help, home with formal home-help, and residential home or sheltered housing.
The municipal social and health care officials were asked to collect information on informal support and assistance from their clients’ personal care and service plans. They reported "yes" if the person received informal care that was considered as supplemental to formal care, and "no" if otherwise.
A self-reported questionnaire was presented to the subjects to collect information on the availability and extent of informal care. Respondents were asked to answer the question “Is there any person who helps you when needed?” The answers were categorized into four categories; not available, occasionally, when needed shortly, as long as needed. Respondents were also asked whether they had been granted a Home Care Allowance by their local municipality.
For the purposes of the Age Study, the subjects were randomly assigned to either an in-patient rehabilitation programme or standard social and health care. In this study, to standardize the effect of the rehabilitation programme, we included rehabilitation as an explanatory variable in all our models.
Administrative integration of the health and social care sectors at municipal level
At municipal level, we investigated if municipalities had integrated the administration of their health care and social services (joint budgets and management). We asked the municipal social and health care officials: “Is your local health and social care administration integrated or not?” (yes/no).
A hierarchical analysis with fixed (patient level) and random (municipality level) effects was used to estimate the effects of explanatory variables on the utilization and costs of health and social services. We used the SAS PROC GLIMMIX procedure to fit the models [29, 30].
First, bivariate correlations between independent variables were examined to check for correlations. All correlations were low. The independent variables were included in the multivariate model using the entrance value of P < 0.05 in the univariate analysis. All multivariate analyses were adjusted for rehabilitation in order to standardize the effect of the rehabilitation in the randomized trial setting. The effect sizes as a result of linear and logistic analyses were expressed as estimates (β) or odds ratios (OR) or cumulative odds ratios (COR) with 95% confidence intervals (CL) and the corresponding p-values.
For quantitative variables, skewness of distribution was analysed. Skewness was detected in health care costs, and a logarithm transformation was calculated to correct the distribution. In the analysis, we divided the variables concerning functional needs (FIM, GDS, MMSE, 15D, IADL) by their standard deviation to make them commensurable and to make it easier to compare the odds ratios. Age was divided by five in order to highlight the impact of every five-year increment in age.
Baseline characteristics of the subjects
At the baseline, the mean age of the subjects was 78 years (range 65–96 years). In the older age group (over 75-year-old subjects), the number of people living alone was higher and impaired cognitive capacity was found more often. Informal care and hospital admissions were also more common in the over 75-year-olds (Table 1). Due to these differences in need-specific factors, the over 75-year-olds were the largest client group for home care services.
Costs of the utilization of health and social care
Costs of the utilization of health and social services (Euro)
Health care costs
Social care costs
Variance components in intercept-only model
An analysis was carried out in two steps. First, an intercept-only model without any explanatory variables was applied. The intraclass correlation of the total costs of health and social care services was 0.06, meaning that roughly 6% of the variance is attributable to the municipality level and 94% to the patient level. When costs were examined for the health care and social care sectors separately, the variance in the costs of health care services was totally explained by individual differences in health; the covariance estimate for the municipality variable was zero. In the use of social services, a null model with two levels showed that 9% of the variability in the social services costs was explained by the municipality level and 91% by the patient level.
Factors associated with the costs of health care services utilization (Model 1)
Results of regression, logistic or cumulative logistic analysis showing the regression coefficients (β), odds ratios (OR) and cumulative odd ratios (COR) with 95% confidence intervals (CI) for health and social care costs and social care utilization
Logarithm adjusted health care costs
Social care utilization
Cost of social care
Categorized into groups; yes, no
Categorized into groups; under 1500, 1500-6000 or over 6000 €/year
n = 732
n = 732
n = 492
Age (five years)
Location of residence
Living conditions †
Home with home help
Sheltered housing or residential home
Availability of informal caregiver
When needed shortly
As long as needed
Receiving informal help
Home care allowance
Self-assessed change in health during preceding year
Combined health and social sectors in municipal
Factors associated with social care services utilization (Model 2)
A logistic analysis was conducted to explain the use of social care services (Table 3). In the multivariate analysis, improvement in health status during the preceding year was associated with social services utilization. Instrumental activities of daily living (IADL), mood (GDS), dementia (MMSE) and functional ability (FIM) had a major impact on the use of social care services. Location of residence and health-related quality of life were not significantly related to the presence of social services utilization in the multivariate model. Every five-year increment in age and living alone increased the probability of social services utilization. Availability of informal care reduced the probability.
Factors associated with the costs of social care services utilization (Model 3)
The costs of received social care services were categorized into three groups: annual costs under 1500, 1500–6000, and over 6000 euro (Table 3). When controlled for the confounding effect of the explanatory variables with a multivariate model, the caregiver’s financial support was most strongly associated with lower costs of social service use. Receiving informal care was also associated with a lower amount of used services. Poor ability in instrumental activities of daily living and low level of functional performance were associated with higher costs of service use. Living in a residential home or sheltered housing and living alone were associated with higher costs. The entrance value to multivariate analysis was P < 0.05, but we conducted the analysis also with the integrated social and health care sector variable included. The integrated social and health care sector was not significantly related to costs in the multivariate setting (not tabulated).
We found that, problems of access to services were concentrated in social care services rather than in health care in frail elderly population in Finland. No differences were observed in the utilization of health care services at municipality level, whereas in the social services, 9% of the variation was explained by the municipality-level factors. Since informal care could be substituting for formal social care services, it is possible that differences in the municipalities’ policies to support informal care explain, to some extent, the variability in social service use.
At the patient level, we found that living alone and availability of informal care were strong explanatory variables of the costs of social services. There is a growing trend that older people live alone, and the female informal care-giving potential is declining due to rising female employment rates . A reduction in informal care can have a major impact on the demand for formal care in the future. Informal care and single households are likely to be important determinants of future long-term care expenditure.
In our study, a connection was found between the utilization of social care services and perceived health. Those who reported improvement in their health status during the preceding year were more frequent users of social care services. According to Andersen, effective access to care is established when use of services is connected with improves in health status . Our finding supports the evidence that if a person receives adequate support and social care services, his or her need for health care services may be reduced . Currently, the municipalities are cutting down support services and targeting services only for those who are in the highest need, which may, in the long run, result in increased costs of health care. Earlier studies have shown that ADL-dependent subjects and those at risk of depression had significantly more hospital stays .
This is consistent with the literature emphasizing the significance of integrated care for the elderly [33–35]. Still, when need factors were controlled for, municipalities with integrated health and social care sectors had similar patterns in access to care and similar costs as compared to municipalities without such integration.
Our findings indicate that the administrative structure alone does not ensure that integration of care has positive effects. Earlier studies have suggested that community based integrated health and social care services might better meet the multiple demands of the population, especially among frail elderly population [33, 36, 37]. Based on our results, it seems that success of integration may depend on the combination of methods and strategies selected to achieve this objective.
In the multivariate models, we introduced explanatory variables mostly at the patient level. At the municipality level, we focused on the question of integrated services. We measured integration with one question concerning the administrative integration, and this may be insufficient to describe the multidimensional phenomena of integration.
No other specific variables – such as proportion of elderly people, economical situation, or population size – were introduced at the municipality level, because we did not aim to explain differences between municipalities. Such variables should, however, be taken into consideration in future studies.
While frail aged people with deteriorated health must be provided care as soon as any need occurs, the results of this study cannot necessarily be generalized to apply to the aged population as a whole.
In lack of national registers, data on municipal primary health care and social care services were collected through questionnaires that were completed by the elderly participants and by the representatives of the local social and health care units. In Finland, municipalities are the main provider of services for the elderly, and therefore, municipal records on service use are comprehensive and reliable. Furthermore, a vast majority of the costs were calculated from registry data, which in Finland are regarded to be very reliable .
Municipality-level variation was observed in the utilization of social services, whereas health care services provided for frail elderly people seem to be highly equitable at the municipal level. Nevertheless, there may be differences in access to services at the patient level due to factors which we did not measure, for example, socio-economic factors.
We found that the utilization of social and health services were connected. Those who reported improvement in their health status during the preceding year were more frequently also using social services. This result suggests that if municipalities continue to limit the provision of support services only for those who are in the highest need, this saving in the social sector may, in the long run, result in increased costs of health care. In order to control the expenditure, it is necessary to ensure that the integration of services provided for the elderly residents is not only an administrative but also a practical measure. Another important determinant of care expenditure is informal care. Informal care and single households can have a major impact on the demand for formal care in the future.
We wish to thank the Age study group members for kindly sharing their data with us. Also, we thank Research Professor Olli Kangas from the SII for his valuable comments to the manuscript.
- Leichsenring K: Developing integrated health and social care services for older persons in Europe. Int J Integr Care. 2004, 4: e10.View ArticlePubMedPubMed CentralGoogle Scholar
- Willberg M, Valtonen H: Sosiaali- jaterveysministeriö: A comparison of the Nordic health care funding and service system. 2007, Sosiaali- jaterveysministeriö, HelsinkiGoogle Scholar
- National framework for high-quality services for older people. 2008, Ministry of Social Affairs and Health publications, Helsinki, 55.Google Scholar
- Andersen RM, McCutcheon A, Aday LA, Chiu GY, Bell R: Exploring dimensions of access to medical care. Health Serv Res. 1983, 18 (1): 49-74.PubMedPubMed CentralGoogle Scholar
- Andersen RM: National health surveys and the behavioral model of health services use. Med Care. 2008, 46 (7): 647-653. 10.1097/MLR.0b013e31817a835d.View ArticlePubMedGoogle Scholar
- Wolinsky FD, Johnson RJ: The use of health services by older adults. J Gerontol. 1991, 46 (6): 345-357.View ArticleGoogle Scholar
- Bass DM, Noelker LS: The influence of family caregivers on elder's use of in-home services: An expanded conceptual framework. J Health Soc Behav. 1987, 28 (2): 184-196. 10.2307/2137131.View ArticlePubMedGoogle Scholar
- Gaugler J, Kane R: Family care for older adults with disabilities: Toward more targeted and interpretable research. Int J Aging Hum Dev. 2002, 54 (3): 205-10.2190/FACK-QE61-Y2J8-5L68. ReviewView ArticlePubMedGoogle Scholar
- Iecovich E, Biderman A: Use of adult day care centers: Do they offset utilization of health care services?. Gerontologist. 2012: -10.1093/geront/gns036. Mar 15Google Scholar
- Kunst AE, Bos V, Lahelma E, Bartley M, Lissau I, Regidor E, et al: Trends in socioeconomic inequalities in self-assessed health in 10 european countries. Int J Epidemiol. 2005, 34 (2): 295-305. 10.1093/ije/dyh342.View ArticlePubMedGoogle Scholar
- Graham H: Understanding health inequalities. . Edited by: Graham H. 2009, McGraw Hill/Open University Press, Maidenhead, 2Google Scholar
- Wilkinson RG, Marmot MG: Social determinants of health. Edited by: Wilkinson RG, Marmot MG. 2006, Oxford University Press, Oxford, 2Google Scholar
- Palosuo H: Health inequalities in Finland: Trends in socioeconomic health differences 1980–2005. 2009, Ministry of Social Affairs and Health, HelsinkiGoogle Scholar
- Saarela TM, Finne-Soveri H, Liedenpohja AM, Noro A: Comparing psychogeriatric units to ordinary long-term care units - are there differences in case-mix or clinical symptoms?Nord J. Psychiatry. 2008, 62 (1): 32-38.Google Scholar
- Wolinsky FD, Mahncke HW, Kosinski M, Unverzagt FW, Smith DM, Jones RN, et al: The ACTIVE cognitive training trial and predicted medical expenditures. BMC Health Serv Res. 2009, 9: 109-10.1186/1472-6963-9-109.View ArticlePubMedPubMed CentralGoogle Scholar
- Hakkinen U, Martikainen P, Noro A, Nihtila E, Peltola M: Aging, health expenditure, proximity to death, and income in Finland. Health Econ Policy Law. 2008, 3 (Pt 2): 165-95.PubMedGoogle Scholar
- Laine J, Linna M, Noro A, Hakkinen U: The cost efficiency and clinical quality of institutional long-term care for the elderly. Health Care ManagSci. 2005, 8 (2): 149-56. 10.1007/s10729-005-0397-3.Google Scholar
- Skarupski KA, McCann JJ, Bienias JL, Wolinsky FD, Aggarwal NT, Evans DA: Use of home-based formal services by adult day care clients with alzheimer's disease. Home Health Care Serv Q. 2008, 27 (3): 217-39. 10.1080/01621420802320009.View ArticlePubMedPubMed CentralGoogle Scholar
- Sandberg M, Kristensson J, Midlov P, Fagerstrom C, Jakobsson U: Prevalence and predictors of healthcare utilization among older people (60+): Focusing on ADL dependency and risk of depression. Arch Gerontol Geriatr. 2012, 54 (3): e349-63. 10.1016/j.archger.2012.02.006.View ArticlePubMedGoogle Scholar
- McIntyre D, Mooney GH: The economics of health equity. Edited by: McIntyre D, Mooney GH. 2007, Cambridge University Press, CambridgeView ArticleGoogle Scholar
- Hinkka K, Karppi SL, Aaltonen T, Ollonqvist K, Gronlund R, Salmelainen U, et al: A network-based geriatric rehabilitation programme: Study design and baseline characteristics of the patients. Int J Rehabil Res. 2006, 29 (2): 97-103. 10.1097/01.mrr.0000194392.18655.49.View ArticlePubMedGoogle Scholar
- Kehusmaa S, Autti-Ramo I, Valaste M, Hinkka K, Rissanen P: Economic evaluation of a geriatric rehabilitation programme: A randomized controlled trial. J Rehabil Med. 2010, 42 (10): 949-55. 10.2340/16501977-0623.View ArticlePubMedGoogle Scholar
- Hujanen T: Terveydenhuollon yksikkökustannukset suomessa vuonna 2001. (unit cost of health care service in Finland 2001). 2003, Stakes, Helsinki, Finland, Report No.: Themes 1Google Scholar
- Granger C, Hamilton B, Keith R, Zielezny M, Sherwin F: Advances in functional assessment for medical rehabilitation. Topics Geriatr Rehab . 1986, 1: 59-74.View ArticleGoogle Scholar
- Yesavage JA, Brink TL, Rose TL, Lum O, Huang V, Adey M, et al: Development and validation of a geriatric depression screening scale: A preliminary report. J Psychiatr Res. 1982–1983, 17 (1): 37-49. 10.1016/0022-3956(82)90033-4.View ArticleGoogle Scholar
- Folstein MF, Folstein SE, McHugh PR: Mini-mental state. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975, 12 (3): 189-98. 10.1016/0022-3956(75)90026-6.View ArticlePubMedGoogle Scholar
- The health-related quality of life (HRQoL) instrument [Internet]. Available from: http://www.15d-instrument.net/15d
- Sintonen H: An approach to measuring and valuing health states. SocSci Med [Med Econ]. 1981, 15 (2): 55-65. JunGoogle Scholar
- Goldstein H: Multilevel statistical models. 2003, Arnold, London, 3Google Scholar
- Twisk JWR: Applied multilevel analysis: A practical guide. 2006, Cambridge University Press, CambridgeView ArticleGoogle Scholar
- Viitanen TK: cartographer. Informal elderly care and female labour force participation across europe [map]. 2005, , BrusselsGoogle Scholar
- Landi F, Onder G, Russo A, Tabaccanti S, Rollo R, Federici S, et al: A new model of integrated home care for the elderly: Impact on hospital use. J Clin Epidemiol. 2001, 54 (9): 968-70. 10.1016/S0895-4356(01)00366-3.View ArticlePubMedGoogle Scholar
- Vedel I, De Stampa M, Bergman H, Ankri J, Cassou B, Mauriat C, et al: A novel model of integrated care for the elderly: COPA, coordination of professional care for the elderly. Aging Clin Exp Res. 2009, 21 (6): 414-23.View ArticlePubMedGoogle Scholar
- Wiley-Exley E, Domino ME, Maxwell J, Levkoff SE: Cost-effectiveness of integrated care for elderly depressed patients in the PRISM-E study. J Ment Health Policy Econ. 2009, 12 (4): 205-13.PubMedGoogle Scholar
- Johri M, Beland F, Bergman H: International experiments in integrated care for the elderly: A synthesis of the evidence. Int J Geriatr Psychiatry. 2003, 18 (3): 222-35. 10.1002/gps.819.View ArticlePubMedGoogle Scholar
- Di Pollina L, Gillabert C, Kossovsky M: Integrated care systems for elderly people. Rev Med Suisse. 2008, 4 (172): 2044-7.PubMedGoogle Scholar
- Ouwens M, Wollersheim H, Hermens R, Hulscher M, Grol R: Integrated care programmes for chronically ill patients: A review of systematic reviews. Int J Qual Health Care. 2005, 17 (2): 141-6. 10.1093/intqhc/mzi016.View ArticlePubMedGoogle Scholar
- Kajantie M, Manderbacka K, McCallum A, Notkola IL, Arffman M, Forssas E: How to carry out register-based health services research in Finland? Compiling complex study data in the REDD project. 2006, Stakes, Helsinki, Finland, Report No.: Discussion Papers 1/2006Google Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1472-6963/12/204/prepub
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