Minimum Data Set 3.0: A Giant Step Forward

Caregiver interactions, perceived control, and meaning in life of elderly: the moderating effect of the elderly-to-social worker ratio

BACKGROUND

Meaning in life is a widely accepted aim in promoting psychosocial health in institutional care. However, how caregiver interaction and perceived control impact meaning in life among the elderly remains unclear. This study explores the effect of institutional caregiver interaction, family caregiver interaction, and perceived control on meaning in life among elderly residents in China, and the potential moderating effect of elderly-to-social worker ratio in these associations.

METHODS

Multistage random sampling was used to recruit a sample of 452 elderly residents from 4 elderly care homes in urban China. A structural equation model was used to test the study hypothesis.

RESULTS

Institutional caregiver interaction is positively related to meaning in life, and perceived control among elderly residents has a positive impact on meaning in life. Moreover, the elderly-to-social worker ratio moderated the relationship between institutional caregiver interaction and meaning in life, as well as between family caregiver interaction and meaning in life.

CONCLUSIONS

Increase elderly's meaning in life is an important service target for the caring professions in institutional care. Social workers affect the effectiveness of interventions on elderly's meaning in life in institutional care. A higher elderly-to-social worker ratio could improve the effectiveness of interventions on meaning in life for elderly residents.

Impact of the Physician Orders for Life-Sustaining Treatment (POLST) Program Maturity Status on the Nursing Home Resident's Place of Death

The Physician Orders for Life-Sustaining Treatment (POLST) program was developed to enhance quality of care delivered at End-of-Life (EoL). Although positive impacts of the POLST program have been identified, the association between a program maturity status and nursing home resident's likelihood of dying in their current care settings remain unanswered. This study aims to evaluate the impact of the POLST program maturity status on nursing home residents' place of death. Using multiple national-level datasets, we examined total 595,152 residents and their place of death. The result showed that the long-stay residents living in states where the program was mature status had 12% increased odds of dying in nursing homes compared that of non-conforming status. Individuals residing in states with developing program status showed 11% increase in odds of dying in nursing homes. The findings demonstrate that a well-structured and well-disseminated POLST program, combined with a continued effort to meet high standards of quality EoL care, can bring out positive health outcomes for elderly patients residing in care settings.

Important Care and Activity Preferences in a Nationally Representative Sample of Nursing Home Residents

OBJECTIVES

Person-centered care (PCC), which considers nursing home resident preferences in care delivery, has been linked to important outcomes such as improved quality of life, resident satisfaction with care, and mood and reduced behavioral symptoms for residents with dementia. Delivery of PCC fundamentally relies on knowledge of resident preferences. The Minimum Data Set (MDS) 3.0 Preference Assessment Tool (PAT) is a standardized, abbreviated assessment that facilitates systematic examination of preferences from a population of nursing home residents. However, it is unknown how well the PAT discriminates preferences across residents or items. The purpose of this study was to use MDS 3.0 PAT data to describe (1) overall resident preferences, (2) variation in preferences across items, and (3) variation in preferences across residents.

DATA

Data from admission MDS assessments between October 1, 2011 and December 31, 2011 were used for this study.

SAMPLE

A nationally representative sample of 244,718 residents over the age of 65 years who were able to complete the resident interview version of preference, cognition, and depression assessments were included.

MEASUREMENTS

Importance ratings of 16 daily care and activity preferences were the primary outcome measures. Resident factors including function (MDS Activities of Daily Living-Long Form), depression (Patient Health Questionnaire-9), cognitive impairment (Brief Interview for Mental Status), and sociodemographics (age, race, sex, and marital status) were used as predictors of important preferences.

ANALYSIS

Overall preferences were examined using descriptive statistics. Proportional differences tests were used to describe variation across items. Logistic regression was used to describe variation in preferences across residents.

RESULTS

The majority of residents rated all 16 preferences important. However, there was variation across items and residents. Involvement of family in care and individualizing daily care and activities were rated important by the largest proportion of residents. Several resident factors including cognitive impairment, depression, sex, and race were significant predictors of preferences.

CONCLUSIONS

Findings demonstrate the PAT captures variation in preferences across items and residents. Residents with possible depression and cognitive impairment were less likely to rate preferences important than residents without those conditions. Non-Caucasian and male residents reported some preferences differently than Caucasian and female residents. Additional assessment and care planning may be important for these residents. More research is needed to determine the factors that influence preferences and the ways to incorporate them into care.

The Nursing Home Pneumonia Risk Index: A Simple, Valid MDS-Based Method of Identifying 6-Month Risk for Pneumonia and Mortality

BACKGROUND

Pneumonia is the leading infectious cause of hospitalization and death for nursing home (NH) residents; however, diagnosis is often delayed because classic signs of infection are not present. We sought to identify NH residents at high risk for pneumonia, to identify persons to target for more intensive surveillance and preventive measures.

METHODS

Based on a literature review, we identified key risk factors for pneumonia and compiled them for use as prediction tool, limiting risk factors to those available on the Minimum Data Set (MDS). Next, we tested the tool's ability to predict 6-month pneumonia incidence and mortality rates in a sample of 674 residents from 7 NHs, evaluating it both as a continuous and a dichotomous variable, and applying both logistic regression and survival analysis to calculate estimates.

RESULTS

NH Pneumonia Risk Index scores ranged from -1 to 6, with a mean of 2.1, a median of 2, and a mode of 2. For the outcome of pneumonia, a 1-point increase in the index was associated with a risk odds ratio of 1.26 (P = .038) or a hazard ratio of 1.24 (P = .037); using it as a dichotomous variable (≤2 vs ≥3), the corresponding figures were a risk odds ratio of 1.78 (P = .045) and a hazard ratio of 1.82 (P = .025). For the outcome of mortality, a 1-point increase in the NH Pneumonia Risk Index was associated with a risk odds ratio of 1.58 (P = .002) and a hazard ratio of 1.45 (P = .013); using the index as a dichotomous variable, the corresponding figures were a risk odds ratio of 3.71 (P < .001) and a hazard ratio of 3.29 (P = .001).

CONCLUSIONS

The NH Pneumonia Risk Index can be used by NH staff to identify residents for whom to apply especially intensive preventive measures and surveillance. Because of its strong association with mortality, the index may also be valuable in care planning and discussion of advance directives.