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National Board of Health and Welfare claims that the quality of elderly care services differ considerably between municipalities in Sweden. This study aims to analyze to what extent these variations can be accounted for by the older person’s municipality affiliation (i.e. receiving elderly care in a certain municipality).

Addressing this issue, national survey data from 78,538 older respondents receiving elderly care services in Sweden were analyzed using multilevel modeling (MLM).

The results showed that municipality affiliation only marginally explained the variance in satisfaction with care, i.e. its variations were larger within than between municipalities. Instead, user-oriented care accounted for the variation in satisfaction with care. Specifically, the way the care workers behave toward the older person proved to be much more crucial for satisfaction with care than municipality affiliation. Moreover, random effects analyses revealed that the effects of user-oriented care on satisfaction with care varied across municipalities. Care setting (i.e. home care or nursing home) only marginally accounted for its variance.

Developing care quality should start and primarily be discussed at the interpersonal care level, and not, as is customary, at the municipality level.

The present research is the first in its kind to quantitatively investigate the sources of variation in perceived quality of Swedish elderly care using MLM.

User-oriented care, defined as individualized assisting behaviors, is the dominant approach within elderly care today. Yet, there is little known about its conceptual structure. This paper proposes that user-oriented care has a bi-partite structure which may be decomposed into the two dimensions of task and relation.

Care workers were “shadowed” (i.e. observed) at their work (n=391 rated interactions). User-oriented care was assessed along ten process quality indicators targeting the acts of caregiving (i.e. task focus, relation focus, involvement, time-use, body language, autonomy, respect, warmth, encouragement, and information) in two elderly care settings, i.e. home care and nursing home. Observations added up to 45 hours.

Principal component analyses confirmed the proposed two-factor structure of user-oriented care. Specifically, the user-oriented care indicators loaded on two distinct factors, i.e. task and relation. The underlying structure of user-oriented care revealed to be invariant across the two settings. However, the results revealed interesting structural differences in terms of explained variance and the magnitude of factor loadings in the home care and nursing home settings. Differences also emerged specifically pertaining to the indicators of autonomy and time-use. These findings suggest that user-oriented behavior may to some extent denote different acts of caregiving and what may be called task- and relation-orientation may be loaded with different meanings in these two care settings.

This is the first study investigating user-oriented behavior in the context of elderly care using a quantitative observational approach. The authors propose that the observed differences between the two care settings are primarily not due to better elderly care work in home care, but due to some inherent differences between these two contexts of care (e.g. better health and living at home).