Quality Of Care In Nursing Homes Research Articles

Director of nursing current job tenure and past experience and quality of care in nursing homes

Directors of nursing (DONs) are central to quality of care in nursing homes (NHs) because of their role in coordinating and overseeing nursing care. Research is needed to test the association between DON characteristics and quality using large, representative samples of NHs and global measures of quality. One such measure is the quality measure (QM) rating from the Centers for Medicare & Medicaid Services' Five-Star Quality Rating, which aggregates 10 individual QMs into a single rating. This study examined whether DON current job tenure or past experience (a) differed across levels of the QM rating, (b) was associated with QM ratings, and (c) was associated with any of the individual 10 QM scores that comprise QM ratings. Data for a nationally representative sample of 1,174 NHs were obtained from the 2004 National Nursing Home Survey, publicly reported QMs, and an Area Resource File. Wald tests were used to test differences in mean DON current job tenure and past experience across levels of the QM rating. Multinomial logistic and Poisson regression analyses were used to examine the association between DON current job tenure and past experience and QM ratings and QM scores, respectively, controlling for selected market and organizational characteristics. Nursing homes with longer DON current job tenure tended to have higher QM ratings. Longer DON current job tenure was associated with higher QM ratings and lower QM scores for several individual QMs, suggesting higher quality. The past experience of the DON did not differ across levels of the QM rating and was not associated with QM ratings or QM scores. This study highlights the need for owners and administrators to support DONs as they either the transition into the role of the DON for the first time or learn to effectively fulfill their role in a new NH.

Decisional conflict among Chinese family caregivers regarding nursing home placement of older adults with dementia

Purpose: To describe factors influencing decisional conflict among Chinese family caregivers regarding nursing home placement of older adults with dementia. Design and Methods: Individual interviews were used to collect data with 30 Chinese family caregivers of older adults with dementia in Taiwan. Data were analyzed using thematic analysis. Results: Factors influencing caregivers' decisional conflict included the Chinese value of filial piety, limited financial resources and information, placement willingness of the older adult, family disagreement, distrust of nursing home care quality, and limited nursing home availability. Factors influencing caregivers' decisional conflict post placement included disappointment with nursing home care quality and self-blame for the placement decision. Implications: Findings resulting from this study indicate that Chinese family caregivers experience decisional conflict during the nursing home decision making process as well as after the placement decision. It is important to provide appropriate decision support beginning before admission and across the trajectory of the older person's nursing home stay in order to decrease decisional conflict and facilitate a more positive decision making process for caregivers, family members, and older adults with dementia.

Light Staffing Can Mean Heavy Liability

Light Staffing Can Mean Heavy Liability

Vigilant at the End of Life: Family Advocacy in the Nursing Home

Increasing numbers of Americans die in nursing homes. Little is known about the roles and experiences of family members of persons who die in nursing homes. The authors conducted 54 qualitative telephone interviews of close family or friends of individuals who had spent at least 48 hours in the last month of life in a nursing home. Respondents had earlier participated in a national survey that found 587 of 1578 decedents (37.2%) received end-of-life nursing home care. In qualitative interviews respondents described the last year of life, focusing on the nursing home experience. Interviews were analyzed by a multidisciplinary team to identify key themes of areas of concern. An important interview theme revealed families often felt the need to advocate for their dying relative because of low expectations or experiences with poor quality nursing home care. They noted staff members who did not fully inform them about what to expect in the dying process. Respondents reported burden and gratification in care they themselves provided, which sometimes entailed collaboration with staff. Interviews also identified ways hospice care impacted families, including helping to relieve family burden. End-of-life advocacy takes on increased urgency when those close to the dying resident have concerns about basic care and do not understand the dying course. Enhancing communication, preparing families at the end of life, and better understanding of hospice are likely to increase family trust in nursing home care, improve the care of dying residents, and help reduce family burden.

Nursing Home Environment and Organizational Performance

Work environment attributes--job design, teamwork, and work effectiveness--are thought to influence nursing home (NH) quality of care. However, few studies tested these relationships empirically. We investigated the relationship between these work environment attributes and quality of care measured by facility-level regulatory deficiencies. Data on work environment were derived from survey responses obtained (in 2006-2007) from 7418 direct care workers in 162 NHs in New York State. Data on facility deficiencies and characteristics came from the Online Survey, Certification and Reporting database. We fit multivariate linear and logistic regressions, with random effects and probability weights, to models with the following dependent variables: presence/absence of quality of life deficiencies, number of quality of care (QC) deficiencies, and presence/absence of high severity G-L deficiencies (causing actual harm/immediate jeopardy). Key independent variables included work effectiveness (a 5-point Likert scale score); percent staff in daily care teams and primary assignment. The work effectiveness measure has been demonstrated to be psychometrically reliable and valid. Other variables included staffing, size, facility case-mix, and ownership. In support of the proposed hypotheses, we found work effectiveness to be a statistically significant predictor of all 3 measures of deficiencies. Primary assignment of staff to residents was significantly associated with fewer QC and high severity deficiencies. Greater penetration of self-managed teams was associated with fewer QC deficiencies. Work environment attributes impact quality of care in NHs. These findings provide important insights for NH administrators and regulators in their efforts to improve quality of care for residents.

The Basis for Improving and Reforming Long-Term Care. Part 3: Essential Elements for Quality Care

There is a pervasive effort to reform nursing homes and improve the care they provide. Many people are trying to educate and inform nursing homes and their staff, practitioners, and management about what to do and not do, and how to do it. But only some of that advice is sound. After more than 3 decades of such efforts, and despite evidence of improvement in many facets of care, there are still many issues. Despite improvements, the overall public, political, and health professional perception of nursing homes is often still negative. To date, no tactic or approach has succeeded nationwide in consistently facilitating good performance or correcting poor performance. Only some of the current efforts to try to improve nursing home quality and to measure it are on target. Many of the measures used to assess the quality of performance have limited value in guiding overall quality improvement. Before we can reform nursing homes, we must understand what needs to be reformed. This series of articles has focused on what is needed for safe, effective, efficient, and person-centered care. Ultimately, all efforts to improve nursing home care quality must be matched against the critical elements needed to provide desirable care. Based on the discussions in the previous 2 articles, this third article in this 4-part series considers 5 key elements of care processes and practices that can help attain multiple desirable quality objectives.

Predictors of Facility Adaptation in Nursing Home Residents

The purposes of this study were to examine the relationships among activities of daily living, self-efficiency, nursing home care quality and nursing home adaptation, and to identify the influencing factors of nursing home adaptation in nursing home residents. The study employed a descriptive correlational design. The data were collected from 148 older adults without dementia by interview from six nursing homes in three cities from February 1, 2008 to February 28, 2008. Levels of nursing home adaptation in older adult residents were different by type of decision maker of nursing home admission, reason of nursing home admission, type of payment and length of nursing home stay. The nursing home adaptation was significantly correlated with self-efficiency and nursing home care quality. The strongest predictor of nursing home adaptation was type of decision maker of nursing home admission followed by the self-efficiency. The study suggested that during the decision making period of nursing home admission, older adults should have enough time and careful considerations of their families to decide by themselves in positive ways. Nursing home staff should be able to identify reasons of nursing home admission and demands or expectations of older adults and their families.

Nursing Home Care Quality: Insights From a Bayesian Network Approach

The purpose of this research is twofold. The first purpose is to utilize a new methodology (Bayesian networks) for aggregating various quality indicators to measure the overall quality of care in nursing homes. The second is to provide new insight into the relationships that exist among various measures of quality and how such measures affect the overall quality of nursing home care as measured by the Observable Indicators of Nursing Home Care Quality Instrument. In contrast to many methods used for the same purpose, our method yields both qualitative and quantitative insight into nursing home care quality. We construct several Bayesian networks to study the influences among factors associated with the quality of nursing home care; we compare and measure their accuracy against other predictive models. We find the best Bayesian network to perform better than other commonly used methods. We also identify key factors, including number of certified nurse assistant hours, prevalence of bedfast residents, and prevalence of daily physical restraints, that significantly affect the quality of nursing home care. Furthermore, the results of our analysis identify their probabilistic relationships. The findings of this research indicate that nursing home care quality is most accurately represented through a mix of structural, process, and outcome measures of quality. We also observe that the factors affecting the quality of nursing home care collectively determine the overall quality. Hence, focusing on only key factors without addressing other related factors may not substantially improve the quality of nursing home care.

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.

The Medical-Spending Debate Continues

The Medical-Spending Debate Continues

Assessing nursing home care quality through Bayesian networks

This article demonstrates how Bayesian networks can be employed as a tool to assess the quality of care in nursing homes. For the data sets analyzed, the proposed model performs comparably to existing quantitative assessment models. In addition, a Bayesian network approach offers several unique advantages. The structure and parameters of a Bayesian network provide rich insight into the multidimensional aspects of the quality of care. Bayesian networks can be used as a guide in implementing limited resources by identifying information that would be most relevant to an assessment. Finally, Bayesian networks provide a straightforward framework for integrating nursing home care quality research that is conducted in various locations and for various purposes.

Validity and Reliability of the Korean Version of the Observable Indicators of Nursing Home Care Quality Evaluation Instrument

The purposes of this study were; 1) to test the validity and reliability of the Korean version of Rantz's Observable Indicators of Nursing Home Care Quality Instrument (ONHQ) and 2) to evaluate the quality of Korean nursing homes. The study employed a three-phase methodological research design. 1) The original instrument of Rantz's ONHQ was translated into Korean and modified by Korean nursing home experts. 2) A pilot study using the modified instrument was done in 20 nursing homes to examine inter-rater reliability. 3) The validity and reliability were tested in 98 nursing homes. Seven factors were extracted through factor analysis: 'communication', 'care delivery', 'grooming', 'odor', 'environment-basics', 'environment-access', and 'environment-homelike'. These factors explained 86.07% of the total variance. Cronbach's alpha coefficient of the 30 items was .97 indicating a high internal consistency of the instrument. Inter-rater reliability according to Kappa was .82. The average score of nursing home quality was 112.07 indicating an average range of quality level. The Korean version of the ONHQ was identified as a tool with a high degree of validity and reliability. This tool can be effectively used to assess the quality of nursing homes by professions as well as family members.

Knowledge and Attitudes of Nursing Home Staff and Surveyors About the Revised Federal Guidance for Incontinence Care

We assessed nursing home staff and state nursing home surveyors regarding their knowledge and attitudes about urinary incontinence, its management, and the revised federal Tag F315 guidance for urinary incontinence. We conducted a questionnaire survey of a convenience sample of nursing home staff and state nursing home surveyors from a midwestern state attending two statewide workshops on the revised guidance. Of 558 attendees, 500 (85%) responded, including 39% of the state's directors of nursing and 57% of state nursing home surveyors. There were striking deficiencies in knowledge regarding urinary incontinence and catheter care, with significant discrepancies by type of respondent, particularly between state surveyors and nursing home staff. Staff cited documentation and staffing levels as the most frequent concerns about implementation. Open-ended responses reflected the divergence of concerns and antagonism among the stakeholders, and staff nurses' feeling that F315 violated residents' rights. The revised Tag F315 guidance will be unlikely to improve the quality of urinary incontinence care in nursing homes because of significant knowledge and attitudinal discrepancies between nursing home staff and state surveyors, facility staff's focus on documentation and staffing, and reliance on implementation strategies known to be ineffective. Federal, state, and other urinary incontinence guideline efforts should focus on managerial structures and methods to improve quality nursing home care. Research is needed to address how nursing home residents and families define and value "quality" urinary incontinence management and to incorporate these in quality-improvement strategies and measures.

USA - Failure to recognize Medicare-Medicaid Funding: interdependence impedes ability to ensure quality nursing home care

USA - Failure to recognize Medicare-Medicaid Funding: interdependence impedes ability to ensure quality nursing home care

The Application of Evidence-Based Principles of Care in Older Persons (Issue 6): Urinary Incontinence

Over 50% of nursing home residents are incontinent of urine, resulting in increased burden of illness from psychological, physical, medical, and financial cost. Despite the large number of studies of nonpharmacologic and pharmacologic treatment interventions, relatively little quality evidence exists to guide therapeutic decision making in incontinent nursing home residents. Clinicians and the lay public are deluged with pharmaceutical marketing and advertising activities for drugs of modest proven value. Prompted voiding and other toileting programs are effective but labor intensive and difficult to consistently implement successfully in the nursing home setting. The sixth issue of this series applies principles of evidencebased decision making in elderly nursing home residents with urinary incontinence. In the management of urinary incontinence, reducing the burden of illness not only necessitates increasing the number of hours per day that residents are “dry” as well as reducing incontinence episodes, the incidence of pressure ulcers, and urinary tract infections resulting from conditions related to or as a complication of incontinence, but preventing the appearance of treatment-related adverse events. Strategies to improve care of residents with urinary incontinence is a focus of the Centers for Medicare and Medicaid Services’ National Nursing Home Quality Measures, as well as the survey process and is pivotal to quality nursing home care. Urinary incontinence is an involuntary loss of urine that occurs when bladder pressure exceeds resistance to outflow. Incontinence among nursing home residents has been associ-

Validation of the Chinese version of the Satisfaction with the Nursing Home Instrument

To assess the psychometric properties of the Chinese version of the Satisfaction with the Nursing Home Instrument. Resident's satisfaction has been regarded by the literature as a gold standard for quality of nursing home care. Accurate assessment of resident's satisfaction can provide valuable information for implementation of quality nursing home care. However, there is not a validated Chinese tool to serve the purpose. A cross-sectional descriptive survey design. Content validity of the Chinese version of the Satisfaction with the Nursing Home Instrument was assessed by the use of expert panel. Construct validity of the Chinese version of the Satisfaction with the Nursing Home Instrument was determined by assessing the correlation between satisfaction with other theoretically related constructs. Internal consistency and stability of the Chinese version of the Satisfaction with the Nursing Home Instrument were determined by Cronbach's method and two-week test-retest reliability. The six-factor structure of the Chinese version of the Satisfaction with the Nursing Home Instrument was assessed by confirmatory factor analysis. Testing was performed on a cluster sample of 330 residents from 16 nursing homes in Hong Kong. The Chinese version of the Satisfaction with the Nursing Home Instrument demonstrated good content validity by having content validity index of 0.93. High construct validity of the Chinese version of the Satisfaction with the Nursing Home Instrument was supported by its significant correlation with depression (r = -0.42, P = 0.000), health-related quality of life (physical component) (r = 0.16, P = 0.042), health-related quality of life (mental component) (r = 0.41, P = 0.000) and global quality of care (r = 0.49, P = 0.000). The Chinese version of the Satisfaction with the Nursing Home Instrument demonstrated satisfactory internal consistency and good stability by having Cronbach's alpha of 0.79 and intra-class correlation coefficient of 0.94, respectively. The six-factor structure of the Chinese version of the Satisfaction with the Nursing Home Instrument was not fully supported by confirmatory factor analysis. The Chinese version of the Satisfaction with the Nursing Home Instrument is a useful instrument for assessing satisfaction of cognitively intact Chinese nursing home residents. Findings provided initial evidence on its validity and reliability. Further empirical testing is recommended to explore its factor structure. The Chinese version of the Satisfaction with the Nursing Home Instrument can provide guidance to enhance delivery of high-quality nursing home care for the Chinese population.

Facility and county effects on racial differences in nursing home quality indicators

This study's goal was to examine the effects of nursing home (NH) and county racial mix on quality of care in NHs. We examined quality indicator (QI) outcomes for residents in 408 urban New York NHs in July through September, 1995. The QI outcomes studied were restraint and antipsychotic drug use (for low and high-risk residents), and at study commencement, these QIs were being used by the Centers for Medicare and Medicaid Services to monitor the quality of care in USA Medicare and/or Medicaid-certified NHs. A hierarchical modeling approach was used to properly reflect the nesting of both residents within NHs and NHs within counties. Separate regression models were fit to the two strata of interest (Urban Non-Hispanic Whites and Urban African Americans) to test, for each race group, the effect on quality of residing in NHs and counties with higher proportions of African Americans (than state medians). Descriptive analyses found that, compared to Whites, the unadjusted restraint rate was lower for African Americans while the antipsychotic drug rate was higher. For both race groups, multi-level analyses showed residence in for-profit NHs was associated with higher likelihoods of being restrained, and of receiving antipsychotic drugs. Also, for both race groups, residence in NHs with higher proportions of African-Americans was associated with lower likelihoods of being restrained and with higher, statistically nonsignificant, likelihoods of receiving antipsychotic drugs. Higher NH nurse staffing ratios were associated with higher likelihoods of being restrained and with lower likelihoods of antipsychotic drug use (statistically significant for low-risk African-Americans). Findings support the notion that differential care is provided in USA NHs caring for higher proportions of African-American residents and thereby suggest intervention at the organizational level is warranted to improve QI outcomes for both race groups.

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.

Direct Observations of Nursing Home Care Quality: Does Care Change When Observed?

Recent research demonstrates that care recorded by nursing home (NH) staff is often inaccurate. Direct observations of care may therefore be of critical importance in assessing and improving care in this setting. Unfortunately, despite their apparent use in several types of quality assurance activities, there is little written information about the reliability or accuracy of observational procedures in NHs. This paper provides information about one important measurement issue (reactivity) that is often cited as a limitation of observational procedures in measuring usual care practices accurately. Descriptive. Seven nursing homes. Staff and residents. Direct observational time in bed; repositioning and feeding assistance. Observational measures of care quality were stable over multiple observation periods and consistently detected quality problems even on the first and last days of observation. Direct observations of care provided to residents do not appear to change provider behavior.

Improving the Quality of Nursing Home Care and Medical-Record Accuracy With Direct Observational Technologies

Nursing home medical-record documentation of daily-care occurrence may be inaccurate, and information is not documented about important quality-of-life domains. The inadequacy of medical record data creates a barrier to improving care quality, because it supports an illusion of care consistent with regulations, which reduces the motivation and ability of providers to identify areas for improvement. Observational protocols designed for use by survey and quality-assurance staff can provide the independent information necessary for improving both medical record accuracy and residents' quality of life. Unfortunately, observational protocols currently used in survey and quality-assurance activities are not designed in a manner that is consistent with the scientific principles that guide observational measurement. The purpose of this article is to describe the steps to develop a standardized and scientifically defensible observational system to assess nursing home care quality.