The use of bedside electronic medical record to improve quality of care in nursing facilities: a qualitative analysis.

It appears that the implementation and use of a bedside electronic medical record in nursing homes can be a strategy to improve quality of care. Staff like using the bedside electronic medical record and believe it is beneficial. Information gleaned from this qualitative evaluation of four nursing homes that implemented complete electronic medical records and participated in a larger evaluation of the use of an electronic medical record will be useful to other nursing homes as they consider implementing bedside computing technology. Nursing home owners and administrators must be prepared to undertake a major change requiring many months of planning to successfully implement. Direct care staff will need support as they learn to use the equipment, especially for the first 6 to 12 months after implementation. There should be a careful plan for continuing education opportunities so that staff learn to properly use the software and can benefit from the technology. After 12 to 24 months, almost no one wants to return to the era of paper charting.

Field testing, refinement, and psychometric evaluation of a new measure of quality of care for assisted living.

Field test results are reported for the Observable Indicators of Nursing Home Care Quality Instrument-Assisted Living Version, an instrument designed to measure the quality of care in assisted living facilities after a brief 30-minute walk-through. The OIQ-AL was tested in 207 assisted-living facilities in two states using classical test theory, generalizability theory, and exploratory factor analysis. The 34-item scale has a coherent six-factor structure that conceptually describes the multidimensional concept of care quality in assisted living. The six factors can be logically clustered into process (Homelike and Caring, 21 items) and structure (Access and Choice; Lighting; Plants and Pets; Outdoor Spaces) subscales and for a total quality score. Classical test theory results indicate most subscales and the total quality score from the OIQ-AL have acceptable interrater, test-retest, and strong internal consistency reliabilities. Generalizability theory analyses reveal that dependability of scores from the instrument are strong, particularly by including a second observer who conducts a site visit and independently completes an instrument, or by a single observer conducting two site visits and completing instruments during each visit. Scoring guidelines based on the total sample of observations (N = 358) help guide those who want to use the measure to interpret both subscale and total scores. Content validity was supported by two expert panels of people experienced in the assisted-living field, and a content validity index calculated for the first version of the scale is high (3.43 on a four-point scale). The OIQ-AL gives reliable and valid scores for researchers, and may be useful for consumers, providers, and others interested in measuring quality of care in assisted-living facilities.

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.

Field testing, refinement, and psychometric evaluation of a new measure of nursing home care quality.

The primary aim of this NINR-NIH-funded field test in 407 nursing homes in 3 states was to complete the development of and conduct psychometric testing for the Observable Indicators of Nursing Home Care Quality Instrument (Observable Indicators, OIQ). The development of the OIQ was based on extensive qualitative and iterative quantitative work that described nursing home care quality and did initial validity and reliability field testing of the instrument in 123 nursing homes in 1 state. The scale is meant for researchers, consumers, and regulators interested in directly observing and quickly evaluating (within 30 minutes of observation) the multiple dimensions of care quality in nursing homes. After extensive testing in this study, the Observable Indicators instrument has been reduced to 30 reliable and discriminating items that have a conceptually coherent hierarchical factor structure that describes nursing home care quality. Seven first-order factors group together into two second-order factors of Structure (includes Environment: Basics and Odors) and Process (includes Care Delivery, Grooming, Interpersonal Communication, Environment: Access, and Environment: Homelike) that are classic constructs of Quality, which was the third-order factor. Internal consistency reliability for the 7 first-order factors ranged from .77 to .93. Construct validity analyses revealed an association between survey citations and every subscale as well as the total score of the OIQ instrument. Known groups analysis revealed expected trends in the OIQ scores. The Observable Indicators instrument as a whole shows acceptable interrater and test-retest reliabilities, and strong internal consistency. Scale subscales show acceptable reliability as well. Generalizability Theory analyses revealed that dependability of scores can be improved by including a second site observer, or by revisiting a site. There is a small additional benefit from increasing observers or visits beyond two.

The influence of teams to sustain quality improvement in nursing homes that "need improvement".

OBJECTIVES: Qualitatively describe the use of team and group processes in intervention facilities participating in a study targeted to improve quality of care in nursing homes "in need of improvement." DESIGN/SETTING/PARTICIPANTS: A randomized, two-group, repeated-measures design was used to test a 2-year intervention for improving quality of care and resident outcomes. Intervention group (n = 29) received an experimental multilevel intervention designed to help them: (1) use quality improvement methods, (2) use team and group process for direct-care decision-making, (3) focus on accomplishing the basics of care, and (4) maintain more consistent nursing and administrative leadership committed to communication and active participation of staff in decision-making. RESULTS: The qualitative analysis revealed a subgroup of homes ("Full Adopters") likely to continue quality improvement activities that were able to effectively use teams. "Full Adopters" had either the nursing home administrator or director of nursing who supported and were actively involved in the quality improvement work of the team. "Full Adopters" also selected care topics for the focus of their quality improvement team, instead of "communication" topics of the "Partial Adopters" or "Non-Adopters" in the study who were identified as unlikely to continue to continue quality improvement activities after the intervention. "Full Adopters" had evidence of the key elements of complexity science: information flow, cognitive diversity, and positive relationships among staff; this evidence was lacking in other subgroups. All subgroups were able to recruit interdisciplinary teams, but only those that involved leaders were likely to be effective and sustain team efforts at quality improvement of care delivery systems. CONCLUSIONS: Results of this qualitative analysis can help leaders and medical directors use the key elements and promote information flow among staff, residents, and families; be inclusive as discussions about care delivery, making sure diverse points of view are included; and help build positive relationships among all those living and working in the nursing home. Wide-spread adoption of the intervention in the randomized study is feasible and could be enabled by nursing home Medical Directors in collaborative practice with Advanced Practice Nurses.

Randomized multilevel intervention to improve outcomes of residents in nursing homes in need of improvement.

OBJECTIVES: A comprehensive multilevel intervention was tested to build organizational capacity to create and sustain improvement in quality of care and subsequently improve resident outcomes in nursing homes in need of improvement. DESIGN/SETTING/PARTICIPANTS: Intervention facilities (N = 29) received a 2-year multilevel intervention with monthly on-site consultation from expert nurses with graduate education in gerontological nursing. Attention control facilities (N = 29) that also needed to improve resident outcomes received monthly information about aging and physical assessment of elders. INTERVENTION: The authors conducted a randomized clinical trial of nursing homes in need of improving resident outcomes of bladder and bowel incontinence, weight loss, pressure ulcers, and decline in activities of daily living. It was hypothesized that following the intervention, experimental facilities would have higher quality of care, better resident outcomes, more organizational attributes of improved working conditions than control facilities, higher staff retention, similar staffing and staff mix, and lower total and direct care costs. RESULTS: The intervention did improve quality of care (P = .02); there were improvements in pressure ulcers (P = .05) and weight loss (P = .05). Organizational working conditions, staff retention, staffing, and staff mix and most costs were not affected by the intervention. Leadership turnover was surprisingly excessive in both intervention and control groups. CONCLUSION AND IMPLICATIONS: Some facilities that are in need of improving quality of care and resident outcomes are able to build the organizational capacity to improve while not increasing staffing or costs of care. Improvement requires continuous supportive consultation and leadership willing to involve staff and work together to build the systematic improvements in care delivery needed. Medical directors in collaborative practice with advanced practice nurses are ideally positioned to implement this low-cost, effective intervention nationwide.

Challenges of using quality improvement methods in nursing homes that "need improvement".

OBJECTIVES: Qualitatively describe the adoption of strategies and challenges experienced by intervention facilities participating in a study targeted to improve quality of care in nursing homes "in need of improvement". To describe how staff use federal quality indicator/quality measure (QI/QM) scores and reports, quality improvement methods and activities, and how staff supported and sustained the changes recommended by their quality improvement teams. DESIGN/SETTING/PARTICIPANTS: A randomized, two-group, repeated-measures design was used to test a 2-year intervention for improving quality of care and resident outcomes in facilities in "need of improvement". Intervention group (n = 29) received an experimental multilevel intervention designed to help them: (1) use quality-improvement methods, (2) use team and group process for direct-care decision-making, (3) focus on accomplishing the basics of care, and (4) maintain more consistent nursing and administrative leadership committed to communication and active participation of staff in decision-making. RESULTS: A qualitative analysis revealed a subgroup of homes likely to continue quality improvement activities and readiness indicators of homes likely to improve: (1) a leadership team (nursing home administrator, director of nurses) interested in learning how to use their federal QI/QM reports as a foundation for improving resident care and outcomes; (2) one of the leaders to be a "change champion" and make sure that current QI/QM reports are consistently printed and shared monthly with each nursing unit; (3) leaders willing to involve all staff in the facility in educational activities to learn about the QI/QM process and the reports that show how their facility compares with others in the state and nation; (4) leaders willing to plan and continuously educate new staff about the MDS and federal QI/QM reports and how to do quality improvement activities; (5) leaders willing to continuously involve all staff in quality improvement committee and team activities so they "own" the process and are responsible for change. CONCLUSIONS: Results of this qualitative analysis can help allocate expert nurse time to facilities that are actually ready to improve. Wide-spread adoption of this intervention is feasible and could be enabled by nursing home medical directors in collaborative practice with advanced practice nurses.

Cost, staffing and quality impact of bedside electronic medical record (EMR) in nursing homes.

OBJECTIVE: There is growing political pressure for nursing homes to implement the electronic medical record (EMR) but there is little evidence of its impact on resident care. The purpose of this study was to test the unique and combined contributions of EMR at the bedside and on-site clinical consultation by gerontological expert nurses on cost, staffing, and quality of care in nursing homes. METHODS: Eighteen nursing facilities in 3 states participated in a 4-group 24-month comparison: Group 1 implemented bedside EMR, used nurse consultation; Group 2 implemented bedside EMR only; Group 3 used nurse consultation only; Group 4 neither. Intervention sites (Groups 1 and 2) received substantial, partial financial support from CMS to implement EMR. Costs and staffing were measured from Medicaid cost reports, and staff retention from primary data collection; resident outcomes were measured by MDS-based quality indicators and quality measures. RESULTS: Total costs increased in both intervention groups that implemented technology; staffing and staff retention remained constant. Improvement trends were detected in resident outcomes of ADLs, range of motion, and high-risk pressure sores for both intervention groups but not in comparison groups. DISCUSSION: Implementation of bedside EMR is not cost neutral. There were increased total costs for all intervention facilities. These costs were not a result of increased direct care staffing or increased staff turnover. CONCLUSIONS: Nursing home leaders and policy makers need to be aware of on-going hardware and software costs as well as costs of continual technical support for the EMR and constant staff orientation to use the system. EMR can contribute to the quality of nursing home care and can be enhanced by on-site consultation by nurses with graduate education in nursing and expertise in gerontology.

Developing a residential care facility version of the observable indicators of Nursing Home Care Quality Instrument.

The last decade has seen a substantial growth in the development of residential care facilities (assisted living facilities). Evaluation of the quality of care in this service delivery sector has been hampered by the lack of a consensus definition of quality and the lack of reliable instruments to measure quality. Founded on extensive research on nursing home care quality, a field test of the Residential Care Facility Version of the Observable Indicators of Nursing Home Care Quality Instrument was conducted in 35 residential care facilities in Missouri. Content validity of the 34 items was rated by 4 expert raters as 3.4 on a 4-point scale of relevance. Test-retest was 0.94, interrater reliability was 0.73, and internal consistency was 0.90 for the total scale, indicating excellent results for initial field-testing. A focus group confirmed the 5 dimensions of quality of care measured by the instrument as important in residential care settings.