Rose Porter

Nursing home care quality: a multidimensional theoretical model integrating the views of consumers and providers.

This exploratory study was undertaken to discover the defining dimensions of nursing home care quality from the viewpoint of consumers of nursing home care. Eleven focus groups were conducted in five Missouri communities. The seven dimensions of the consumer multidimensional model of nursing home care quality are: staff, care, family involvement, communication, environment, home, and cost. The views of consumers and families are compared with the results of a previous study of providers of nursing home services. An integrated, multidimensional theoretical model is presented for testing and evaluation. An instrument based on the model is being tested to observe and score the dimensions of nursing home care quality.

Nursing Home Care Quality: A Multidimensional Theoretical Model

This exploratory study was undertaken to discover the defining dimensions of nursing home care quality and to propose a conceptual model to guide nursing home quality research and the development of instruments to measure nursing home care quality. Three focus groups were conducted in three central Missouri communities. A naturalistic inductive analysis of the transcribed content was completed. Two core variables (interaction and odor) and several related concepts emerged from the data. Using the core variables, related concepts, and detailed descriptions from participants, three models of nursing home care quality emerged from the analysis: (1) a model of a nursing home with good quality care; (2) a model of a nursing home with poor quality care; and (3) a multidimensional model of nursing home care quality. The seven dimensions of the multidimensional model of nursing home care quality are: central focus, interaction, milieu, environment, individualized care, staff, and safety. To pursue quality, the many dimensions must be of primary concern to nursing homes. We are testing an instrument based on the model to observe and score the dimensions of nursing home care quality.

Verifying Nursing Home Care Quality Using Minimum Data Set Quality Indicators and Other Quality Measures

Researchers, providers and government agencies have devoted time and resources to the development of a set of Quality Indicators derived from Minimum Data Set (MDS) data. Little effort has been directed toward verifying that Quality Indicators derived from MDS data accurately measure nursing home quality. Researchers at the University of Missouri-Columbia have independently verified the accuracy of QI derived from MDS data using four different methods; 1) structured participative observation, 2) QI Observation Scoring Instrument, 3) Independent Observable Indicators of Quality Instrument, and 4) survey citations. Our team was able to determine that QIs derived from MDS data did differentiate nursing homes of good quality from those of poorer quality.

Assessing quality of nursing home care: the foundation for improving resident outcomes.

Efforts to improve the quality of care and outcomes for nursing home residents are constantly of concern to state and federal regulators, nursing home providers, nursing home advocacy groups, and health policy researchers. The article describes a study that analyzed the quality indicators identified by the Health Care Financing Administration-sponsored Case Mix and Quality Demonstration Project using the Missouri nursing home Minimum Data Set database. The range of performance was considerable, and five of the indicators analyzed were risk adjusted to account for variation in resident acuity within facilities. Determining quality of care from assessment information that is routinely collected for nursing home residents has the potential to influence dramatically public policy decisions regarding reimbursement, recertification, and regulation and can play a vital role in improving resident outcomes.

Setting thresholds for quality indicators derived from MDS data for nursing home quality improvement reports: an update.

BACKGROUND Determining meaningful thresholds to reinforce excellent performance and flag potential problem areas in nursing home care is critical for preparing reports for nursing homes to use in their quality improvement programs. This article builds on the work of an earlier panel of experts that set thresholds for quality indicators (QIs) derived from Minimum Data Set (MDS) assessment data. Thresholds were now set for the revised MDS 2.0 two-page quarterly form and Resource Utilization Groups III (RUGS III) quarterly instrument. SETTING THRESHOLDS In a day-long session in October 1998, panel members individually determined lower (good) and upper (poor) threshold scores for each QI, reviewed statewide distributions of MDS QIs, and completed a follow-up Delphi of the final results. REPORTING MDS QIS FOR QUALITY IMPROVEMENT The QI reports compiled longitudinal data for all residents in the nursing home during each quarter and cumulatively displayed data for five quarters for each QI. A resident roster was provided to the nursing home so that the quality improvement team could identify the specific residents who developed the problems defined by each QI during the last quarter. Quality improvement teams found the reports helpful and easy to interpret. SUMMARY AND CONCLUSIONS As promised in an earlier report, to ensure that thresholds reflect current practice, research using experts in a panel to set thresholds was repeated as needed. As the MDS instrument or recommended calculations for the MDS QIs change, thresholds will be reestablished to ensure a fit with the instrument and data.

Getting the Basics Right: Care Delivery in Nursing Homes

In this study, the key exemplar processes of care in facilities with good resident outcomes were described. It follows that with description of these processes, it is feasible to teach facilities about the basics of care and the ways to systematically approach care so they can adopt these care processes and improve resident outcomes. However, for this to happen key organizational commitments must be in place for staff to consistently provide the basics of care. Nursing leadership must have a consistent presence over time, they must be champions of using team and group processes involving staff throughout the facility, and they must actively guide quality improvement processes. Administrative leadership must be present and express the expectation that high quality care is expected for residents, and that workers are expected to contribute to the quality improvement effort. If facilities are struggling with achieving average or poor resident outcomes, they must first make an effort to find nursing and administrative leaders who are willing to stay with the organization. These leaders must be skilled with team and group processes for decision-making and how to implement and use a quality improvement program to improve care. These leaders must be skilled at building employee relations and at retention strategies so residents are cared for by consistent staff who know them. The results of this study illustrate the simplicity of the basics of care that residents in nursing facilities need. The results also illustrate the complexity of the care processes and the organizational systems that must be in place to achieve good outcomes. Achieving these outcomes is the challenge facing those currently working in and leading nursing facilities.

Improving quality of care in nursing facilities. Gerontological clinical nurse specialist as research nurse consultant.

It is becoming increasingly common for nursing facilities to use Quality Indicators (QI) derived from Minimum Data Set (MDS) data for quality improvement initiatives within their facilities. It is not known how much support facilities need to effectively review QI reports, investigate problems areas, and implement practice changes to improve care. In Missouri, the University of Missouri-Columbia MDS and Nursing Home Quality Research Team has undertaken a Quality Improvement Intervention Study using a gerontological clinical nurse specialist (GCNS) to support quality improvement activities in nursing homes. Nursing facilities have responded positively to the availability of a GCNS to assist them in improving nursing facility care quality.

Entrepreneurial program of research and service to improve nursing home care.

This is a methodological article intended to demonstrate the integration of multiple goals, multiple projects with diverse foci, and multiple funding sources to develop an entrepreneurial program of research and service to directly affect and improve the quality of care of older adults, particularly nursing home residents. Examples that illustrate how clinical ideas build on one another and how the research ideas and results build on one another are provided. Results from one study are applied to the next and are also applied to the development of service delivery initiatives to test results in the real world. Descriptions of the Quality Improvement Program for Missouri and the Aging in Place Project are detailed to illustrate real-world application of research to practice.