Development and testing of a process measure of nursing home quality of care

High bone turnover is an independent predictor of mortality in the frail elderly

Osteoporotic fractures are associated with accelerated bone turnover and excess mortality. In a prospective study of 1112 frail subjects (79% female; mean age, 86 years), high bone turnover was an independent predictor of all-cause mortality. This association seemed to be mainly manifested in deaths from cardiovascular causes.

INTRODUCTION

Osteoporotic fractures are associated with accelerated bone turnover and excess mortality. In a prospective cohort study of elderly men and women, we assessed whether the rate of bone turnover measured by markers of bone remodeling is a direct predictor of mortality.

MATERIALS AND METHODS

We measured serum concentrations of the aminoterminal propeptide of type I collagen (PINP), a marker of bone formation, and of the carboxyterminal telopeptide of type I collagen (CTX-I), a marker of bone resorption, along with serum PTH and 25-hydroxyvitamin D [25(OH)D] levels in 1112 subjects (79% female; mean age, 86 years) living in residential care. Co-morbidity was measured using the Implicit Illness Severity Scale. Fracture data were validated by a radiology report. Mortality and causes of death were ascertained from death certificates.

RESULTS

Over a median follow-up of 817 days, 559 (50.3%) subjects died. In univariate analyses, time to death from all causes was significantly (p < 0.01) associated with age (HR = 1.62 per 10 years), male sex (HR = 1.33), immobility (HR = 1.94), co-morbidity (HR = 0.31, mild versus severe), lower weight (HR = 0.83 per 10-kg increase), impaired cognitive function (HR = 2.14, severe versus normal), number of medications (HR = 1.05 each), hip fracture (HR = 2.26), log serum creatinine (HR = 1.67), log PTH (HR = 1.29), CTX-I (HR = 1.70, highest 25% versus lowest 75%), and PINP (HR = 1.46, highest 25% versus lowest 75%). In multivariate analysis adjusting for age, sex, immobility, co-morbidity, weight, cognitive function, number of medications, PTH, and hip fracture status, the highest quartile was significantly more likely to die than the rest for both serum CTX-I (HR = 1.39; 95% CI: 1.14-1.70; p = 0.002) and PINP (HR = 1.25; 95% CI: 1.02-1.52; p = 0.03). For individual causes of death, CTX-I was significantly associated with deaths from cardiac causes (HR = 1.78: 95% CI: 1.27-2.50; p < 0.001).

CONCLUSIONS

We conclude that in the frail elderly, high bone turnover is associated with all cause mortality independently of age, sex, health status, serum PTH levels, and hip fracture status. The mechanism of the effect of bone turnover on mortality seems to be mainly manifested in deaths from cardiovascular causes.

Indicators of the quality of nursing home residential care

OBJECTIVES

To identify quality indicators (QIs) that can be used to measure nursing home (NH) residential care processes.

DESIGN

Modified-delphi panel process to rate potential QIs that were identified through reported interviews with residents and families and through a review of the scientific literature.

SETTING

Meetings of panel of experts.

PARTICIPANTS

A national panel of nine experts in NH care rated potential QIs. A content expert and a clinical oversight committee performed external reviews.

MEASUREMENTS

Panelists' median validity and importance ratings for each QI choice.

RESULTS

The panel considered 64 choices for QI content and rated 28 of these as valid and important for measuring residential care quality. These 28 choices translated into 18 QIs. The external review process resulted in the addition of one QI that was not considered by the NH panel. The 19 indicators address areas identified as important by residents and proxies. Ten of these QIs were rated feasible to implement with current resources in average community NHs, and nine were rated feasible only in better NHs. The panelists identified nine as being measured most reliably by direct observations of care.

CONCLUSION

Experts identified 19 specific care processes as valid and important measures of the quality of NH residential care. Nine of these QIs may be measured best by direct observation of NH care, rather than by interviews or review of existing NH records. Almost half of the QIs were viewed as discriminating between better and average NHs. The panel deemed that only well-staffed nursing homes could consistently implement nine of the QIs.