Future Development of Nursing Home Quality Indicators

Nursing-sensitive quality indicators for quality improvement in Norwegian nursing homes - a modified Delphi study

BACKGROUND

Use of nursing-sensitive quality indicators (QIs) is one way to monitor the quality of care in nursing homes (NHs). The aim of this study was to develop a consensus list of nursing-sensitive QIs for Norwegian NHs.

METHODS

A narrative literature review followed by a non-in-person, two-round, six-step modified Delphi survey was conducted. A five-member project group was established to draw up a list of nursing-sensitive QIs from a preliminary list of 24 QIs selected from Minimum Data Set (2.0) (MDS) and the international Resident Assessment Instrument for Long-Term Care Facilities (interRAI LTCF). We included scientific experts (researchers), clinical experts (healthcare professionals in NHs), and experts of experience (next-of-kin of NH residents). The experts rated nursing-sensitive QIs in two rounds on a seven-point Likert scale. Consensus was based on median value and level of dispersion. Analyses were conducted for four groups: 1) all experts, 2) scientific experts, 3) clinical experts, and 4) experts of experience.

RESULTS

The project group drew up a list of 20 nursing-sensitive QIs. Nineteen QIs were selected from MDS/interRAI LTCF and one ('systematic medication review') from the Norwegian quality assessment system IPLOS ('Statistics linked to individual needs of care'). In the first and second Delphi round, 44 experts (13 researchers, 17 healthcare professionals, 14 next-of-kin) and 28 experts (8 researchers, 10 healthcare professionals, 10 next-of-kin) participated, respectively. The final consensus list consisted of 16 nursing-sensitive QIs, which were ranked in this order by the 'all expert group': 1) systematic medication review, 2) pressure ulcers, 3) behavioral symptoms, 4) pain, 5) dehydration, 6) oral/dental health problems, 7) urinary tract infection, 8) fecal impaction, 9) depression, 10) use of aids that inhibit freedom of movement, 11) participation in activities of interest, 12) participation in social activities, 13) decline in activities of daily living, 14) weight loss, 15) falls, and 16) hearing loss without the use of hearing aids.

CONCLUSIONS

Multidisciplinary experts were able to reach consensus on 16 nursing-sensitive QIs. The results from this study can be used to implement QIs in Norwegian NHs, which can improve the quality of care.

The effectiveness of care manager training in a multidisciplinary plan-do-check-adjust cycle on prevention of undesirable events among residents of geriatric care facilities

AIM

Undesirable events, such as falls, aspiration, and pressure ulcers, are associated with functional decline and lower quality of life among older adults. This study describes the frequency of such events among residents of geriatric care facilities and assesses the effect of training care managers in a multidisciplinary plan-do-check-adjust cycle on preventing such events.

METHODS

This was a Japan-based, non-randomized cluster intervention study. The intervention group comprised geriatric care facilities from which care managers had attended a training course, while the control group comprised facilities with care managers who did not receive this training. Six-month pre-admission and 3-month post-admission incidences of undesirable events were collected from both groups, and the two groups were compared.

RESULTS

Valid data were collected from 862 residents (416 and 446 from the intervention and control groups, respectively) from 130 facilities (60 and 70, respectively). Three-month post-admission incidences were 27.8%, 20.0%, and 11.3% for falls, fever, and pressure ulcers, respectively. There was no difference between the groups regarding post-admission incidence for any event type. Training care managers reduced the post-admission incidence of pressure ulcers among residents with a history of such ulcers.

CONCLUSIONS

The training of care managers in a multidisciplinary risk-management cycle was not effective for preventing falls, fever, or pressure ulcers. Results underscore the difficulty of preventing risk events in geriatric care facility residents even with organizational training efforts. The authors believe it is important to share such risks with residents and their families. Geriatr Gerontol Int 2021; 21: 842-848.

Quality of life measurement in community-based aged care - understanding variation between clients and between care service providers

BACKGROUND

Measuring person-centred outcomes and using this information to improve service delivery is a challenge for many care providers. We aimed to identify predictors of QoL among older adults receiving community-based aged care services and examine variation across different community care service outlets.

METHODS

A retrospective sample of 1141 Australians aged ≥60 years receiving community-based care services from a large service provider within 19 service outlets. Clients' QoL was captured using the ICEpop CAPability Index. QoL scores and predictors of QoL (i.e. sociodemographic, social participation and service use) were extracted from clients' electronic records and examined using multivariable regression. Funnel plots were used to examine variation in risk-adjusted QoL scores across service outlets.

RESULTS

Mean age was 81.5 years (SD = 8) and 75.5% were women. Clients had a mean QoL score of 0.81 (range 0-1, SD = 0.15). After accounting for other factors, being older (p < 0.01), having lower-level care needs (p < 0.01), receiving services which met needs for assistance with activities of daily living (p < 0.01), and having higher levels of social participation (p < 0.001) were associated with higher QoL scores. Of the 19 service outlets, 21% (n = 4) had lower mean risk-adjusted QoL scores than expected (< 95% control limits) and 16% (n = 3) had higher mean scores than expected.

CONCLUSION

Using QoL as an indicator to compare care quality may be feasible, with appropriate risk adjustment. Implementing QoL tools allows providers to measure and monitor their performance and service outcomes, as well as identify clients with poor quality of life who may need extra support.

TRIAL REGISTRATION

Australian and New Zealand clinical trial registry number: ACTRN12617001212347 . Registered 18/08/2017.

Assessing Nursing Homes Quality Indicators' Between-Provider Variability and Reliability: A Cross-Sectional Study Using ICCs and Rankability

Nursing home quality indicators are often used to publicly report the quality of nursing home care. In Switzerland, six national nursing home quality indicators covering four clinical domains (polypharmacy, pain, use of physical restraints and weight loss) were recently developed. To allow for meaningful comparisons, these indicators must reliably show differences in quality of care levels between nursing homes. This study’s objectives were to assess nursing home quality indicators’ between-provider variability and reliability using intraclass correlations and rankability. This approach has not yet been used in long-term care contexts but presents methodological advantages. This cross-sectional multicenter study uses data of 11,412 residents from a convenience sample of 152 Swiss nursing homes. After calculating intraclass correlation 1 (ICC1) and rankability, we describe between-provider variability for each quality indicator using empirical Bayes estimate-based caterpillar plots. To assess reliability, we used intraclass correlation 2 (ICC2). Overall, ICC1 values were high, ranging from 0.068 (95% confidence interval (CI) 0.047–0.086) for polypharmacy to 0.396 (95% CI 0.297–0.474) for physical restraints, with quality indicator caterpillar plots showing sufficient between-provider variability. However, testing for rankability produced mixed results, with low figures for two indicators (0.144 for polypharmacy; 0.471 for self-reported pain) and moderate to high figures for the four others (from 0.692 for observed pain to 0.976 for physical restraints). High ICC2 figures, ranging from 0.896 (95% CI 0.852–0.917) (self-reported pain) to 0.990 (95% CI 0.985–0.993) (physical restraints), indicated good reliability for all six quality indicators. Intraclass correlations and rankability can be used to assess nursing home quality indicators’ between-provider variability and reliability. The six selected quality indicators reliably distinguish care differences between nursing homes and can be recommended for use, although the variability of two—polypharmacy and self-reported pain—is substantially chance-driven, limiting their utility.

Decomposing Racial and Ethnic Disparities in Nursing Home Quality of Life

This study examines the racial/ethnic disparity among nursing home (NH) residents using a self-reported, validated measure of quality of life (QoL) among long-stay residents in Minnesota. Blinder-Oaxaca decomposition techniques determine which resident and facility factors are the potential sources of the racial/ethnic disparities in QoL. Black, Indigenous, and other People of Color (BIPOC) report lower QoL than White residents. Facility structural characteristics and being a NH with a high proportion of residents who are BIPOC are the factors that have the largest explanatory share of the disparity. Modifiable characteristics like staffing levels explain a small share of the disparity. To improve the QoL of BIPOC NH residents, efforts need to focus on addressing systemic disparities for NHs with a high proportion of residents who are BIPOC.

Does Living in a Higher Proportion Minority Facility Improve Quality of Life for Racial/Ethnic Minority Residents in Nursing Homes?

Background and Objectives

The proportion of racial/ethnic minority older adults in nursing homes (NHs) has increased dramatically and will surpass the proportion of white adults by 2030.Yet, little is known about minority groups’ experiences related to the quality of life (QOL). QOL is a person-centered measure, capturing multiple aspects of well-being. NH quality has been commonly measured using clinical care indicators, but there is growing recognition for the need to include QOL. This study examines the role of individual race/ethnicity, facility racial/ethnic composition, and the interaction of both for NH resident QOL.

Research Design and Methods

We used a unique state-level data set that includes self-reported QOL surveys with a random sample of long-stay Minnesota NH residents, using a multidimensional measure of QOL. These surveys were linked to resident clinical data from the Minimum Dataset 3.0 and facility-level characteristics. Minnesota is one of the two states in the nation that collects validated QOL measures, linked to data on resident and detailed facility characteristics. We used mixed-effects models, with random intercepts to model summary QOL score and individual domains.

Results

We identified significant racial disparities in NH resident QOL. Minority residents report significantly lower QOL scores than white residents, and NHs with higher proportion minority residents have significantly lower QOL scores. Minority residents have significantly lower adjusted QOL than white residents, whether they are in low- or high-minority facilities, indicating a remaining gap in individual care needs.

Discussion and Implications

The findings highlight system-level racial disparities in NH residents QOL, with residents who live in high-proportion minority NHs facing the greatest threats to their QOL. Efforts need to focus on reducing racial/ethnic disparities in QOL, including potential public reporting (similar to quality of care) and resources and attention to provision of culturally sensitive care in NHs to address residents’ unique needs.

Home care quality indicators based on the Resident Assessment Instrument-Home Care (RAI-HC): a systematic review

BACKGROUND

One way of measuring the quality of home care are quality indicators (QIs) derived from data collected with the Resident Assessment Instrument-Home Care (RAI-HC). In order to produce meaningful results for quality improvement and quality comparisons across home care organizations (HCOs) and over time, RAI-HC QIs must be valid and reliable. The aim of this systematic review was to identify currently existing RAI-HC QIs and to summarize the scientific knowledge on the validity and reliability of these QIs.

METHODS

A systematic review was performed using the electronic databases PubMed, CINAHL, Embase, PsycINFO and Cochrane Library. Studies describing the development process or the psychometric characteristics of RAI-HC QIs were eligible. The data extraction involved a general description of the included studies as well as the identified RAI-HC QIs and information on validity and reliability. The methodological quality of the identified RAI-HC QI sets was assessed using the Appraisal of Indicators through Research and Evaluation (AIRE) instrument.

RESULTS

Four studies out of 659 initial hits met the inclusion criteria. The included studies described the development and validation process of three RAI-HC QI sets comprising 48 unique RAI-HC QIs, which predominantly refer to outcome of care. Overall, the validity and reliability of the identified RAI-HC QIs were not sufficiently tested. The methodological quality of the three identified RAI-HC QI sets varied across the four AIRE instrument domains. None of the QI sets reached high methodological quality, defined as scores of 50% and higher in all four AIRE instrument domains.

CONCLUSIONS

This is the first review that systematically summarized and appraised the available scientific evidence on the validity and reliability of RAI-HC QIs. It identified insufficient reporting of RAI-HC QIs validation processes and reliability as well as missing state-of-the-art methodologies. The review provides guidance as to what additional validity and reliability testing are needed to strengthen the scientific soundness of RAI-HC QIs. Considering that RAI-HC QIs are already implemented and used to measure and compare quality of home care, further investigations on RAI-HC QIs reliability and validity is recommended.

Questioning the Questionnaire: Methodological Challenges in Measuring Subjective Quality of Life in Nursing Homes Using Cognitive Interviewing Techniques

Although the concept of subjective quality of life in the nursing home setting is seen as a promising approach to discovering opportunities for improvement from the resident's perspective, it appears problematic in classical surveys that self-reported quality ratings on the basis of satisfaction questions tend to turn out overly positive. The aim of this article is to analyze how people in residential care facilities interpret and process response stimuli received from a questionnaire on subjective quality of life. In this analysis, we aim to gain methodological insights into the way a survey instrument on subjective quality of life can adequately represent individual ratings, as well as expectations regarding different aspects of quality of life. To test the feasibility of the proposed approach, we employed a range of probing techniques from the cognitive interviewing approach. The result is a promising design principle for constructing survey instruments to measure subjective quality of life.

Clinical indicators for reporting the effectiveness of patient quality and safety-related interventions: a protocol of a systematic review and Delphi consensus process as part of the international Standardised Endpoints for Perioperative Medicine initiative (StEP)

INTRODUCTION

Clinical indicators are used to measure and quantify the safety and quality of patient care. They are also often used as endpoints in clinical trials. Definitions of clinical indicators in common use are extremely heterogeneous, limiting their applicability. As part of the international Standardised Endpoints in Perioperative Medicine initiative, this study will identify clinical indicators by systematically reviewing the anaesthesia and perioperative medicine literature, and will provide consensus, clinically useful definitions for those indicators using a Delphi process.

METHODS AND ANALYSIS

An electronic database search will be conducted of Medline (PubMed/OVID), EMBASE and the Cochrane Library in order to meet this review's objectives that are: (1) To identify clinical indicators and their definitions used in randomised controlled trials that assess patient-related quality and safety interventions in perioperative medicine; (2) To select a shortlist of recommended indicators and definitions that are the most suitable for evaluation of quality and safety interventions following an expert-based consensus-gaining process (Delphi method) and (3) To provide a classification scale for each indicator related to its clarity of definition, validity (strength), reliability, feasibility (ease of use) and frequency of use. This systematic review protocol is reported in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols guidance.

ETHICS AND DISSEMINATION

Ethical approval is not required for this systematic review and Delphi process. The results of this study will be disseminated to the anaesthesia and perioperative medicine clinical and academic community through national and international presentations and through publication in a peer reviewed journal.

PROSPERO REGISTRATION NUMBER

CRD42016042102.

Process, structural, and outcome quality indicators of nutritional care in nursing homes: a systematic review

Background

The quality of nursing homes (NHs) has attracted a lot of interest in recent years and is one of the most challenging issues for policy-makers. Nutritional care should be considered an important variable to be measured from the perspective of quality management. The aim of this systematic review is to describe the use of structural, process, and outcome indicators of nutritional care in NHs and the relationship among them.

Methods

The literature search was carried out in Pubmed, Embase, Scopus, and Web of Science. A temporal filter was applied in order to select papers published in the last 10 years. All types of studies were included, with the exception of reviews, conference proceedings, editorials, and letters to the editor. Papers published in languages other than English, Italian, and Spanish were excluded.

Results

From the database search, 1063 potentially relevant studies were obtained. Of these, 19 full-text articles were considered eligible for the final synthesis. Most of the studies adopted an observational cross-sectional design. They generally assessed the quality of nutritional care using several indicators, usually including a mixture of many different structural, process, and outcome indicators. Only one of the 19 studies described the quality of care by comparing the results with the threshold values. Nine papers assessed the relationship between indicators and six of them described some significant associations—in the NHs that have a policy related to nutritional risk assessment or a suitable scale to weigh the residents, the prevalence or risk of malnutrition is lower. Finally, only four papers of these nine included risk adjustment. This could limit the comparability of the results.

Conclusion

Our findings show that a consensus must be reached for defining a set of indicators and standards to improve quality in NHs. Establishing the relationship between structural, process, and outcome indicators is a challenge. There are grounds for investigating this theme by means of prospective longitudinal studies that take the risk adjustment into account.

Identifying Consistent and Coherent Dimensions of Nursing Home Quality: Exploratory Factor Analysis of Quality Indicators

BACKGROUND

There is a general belief that the markers of nursing home quality do not aggregate easily. Identifying consistent and coherent dimensions of quality that usefully summarize the multiplicity of nursing home quality measures is an important goal. It would simplify interpretation and help consumers, their families and advocates to choose nursing facilities.

OBJECTIVES

This study uses quality indicators (QIs) from a state nursing home report card to explore the dimensionality of quality in nursing homes and to determine whether aggregation at the resident versus facility level yields the same underlying dimensions.

DESIGN

Cross-sectional study.

SETTING

382 Medicare- and/or Medicaid-certified nursing homes in Minnesota.

PARTICIPANTS

Residents admitted to the nursing homes during 2011-2012.

MEASUREMENTS

16 QIs obtained from the Minimum Data Set 3.0 assessment instrument between 2011 and 2012 were used in the exploratory factor analysis.

RESULTS

Factor analysis results suggest four main factors or dimensions to characterize facility performance: continence care (including 4 QIs), restraints and behavioral symptoms (including 3 QIs), care for specific conditions (including 6 QIs), and physical functioning (including 3 QIs). The resident-level and facility-level results generally agreed for 11 QIs.

CONCLUSION

Nursing home quality of care can be captured in summary measures, which can be used by consumers, providers and researchers. Reporting at the resident or facility level will depend on the purpose. These summary measures can be used by policy-makers to identify and reward high-performing facilities and by families to choose nursing facilities for care.

An examination of quality of care in Norwegian nursing homes - a change to more activities?

BACKGROUND

Studies on Norwegian nursing homes have shown that the general care is at a relatively high level, while the level of physical and social activities is relatively low. As a response to these findings, the Norwegian government has stressed the importance of activities in various white papers and circulars and, in recent years, has launched several campaigns specifically aimed at increasing the level of activities.

AIM

The aim of the study was to examine the following: (i) how the government has succeeded in increasing the level of physical and social activities in Norwegian nursing homes; (ii) how the level of activities compares to the general care; and (iii) how the level of activities and the general care are influenced by the following facility characteristics: residents' mobility level, total staffing levels, ratio of RNs, ratio of unlicensed staff and ward size.

METHOD

A cross-sectional survey of forty nursing home wards throughout Norway was used to collect the data.

RESULTS

On a scale ranging from 1 to 7, the staff members assess the activity dimension to be 4.31 and the general care dimension to be 5.66. The activity dimension was significantly negatively correlated with the ratio of unlicensed staff, the ratio of Registered Nurses and the residents' mobility level, while the general care dimension was significantly negatively correlated with the ratio of unlicensed staff.

CONCLUSION

The study shows that the level of physical and social activities offered to the residents is relatively low, while the general care level is significantly higher, in line with earlier studies. Consequently, the government has not succeeded with its current policy to increase the level of activities in nursing homes. The relationship between the two quality dimensions and the explanatory variables shows that nursing home quality is a complicated phenomenon.

A cross-sectional survey to investigate the quality of care in Tuscan (Italy) nursing homes: the structural, process and outcome indicators of nutritional care

Background

Previous studies have investigated process and structure indicators of nutritional care as well as their use in nursing homes (NHs), but the relative weight of these indicators in predicting the risk of malnutrition remains unclear.

Aims of the present study are to describe the quality indicators of nutritional care in older residents in a sample of NHs in Tuscany, Italy, and to evaluate the predictors of protein-energy malnutrition risk.

Methods

A cross-sectional survey was conducted in 67 NHs. Information was collected to evaluate quality indicators of nutritional care and the individual risk factors for malnutrition, which was assessed using the Malnutrition Universal Screening Tool. A multilevel model was used to analyse the association between risk and predictors.

Results

Out of 2395 participants, 23.7 % were at high, 11 % at medium, and 65.3 % at low risk for malnutrition. Forty-two percent of the NHs had only a personal scale to weigh residents; 88 % did not routinely use a screening test/tool for malnutrition; 60 % used some standardized approach for weight measurement; 43 % did not assess the severity of dysphagia; 12 % were not staffed with dietitians.

Patients living in NHs where a chair or platform scale was available had a significantly lower risk of malnutrition (OR = 0.73; 95 % CI = 0.56–0.94). None of the other structural or process quality indicators showed a statistically significant association with malnutrition risk.

Conclusions

Of all the process and structural indicators considered, only the absence of an adequate scale to weigh residents predicted the risk of malnutrition, after adjusting for case mix. These findings prompt the conduction of further investigations on the effectiveness of structural and process indicators that are used to describe quality of nutritional care in NHs.

Resident- and Facility-Level Predictors of Quality of Life in Long-Term Care

PURPOSE OF THE STUDY

Although there is substantial research on quality of care in nursing homes (NH), less is known about what contributes to quality of life (QOL) for NH residents. This study assesses multiple domains of QOL and examines facility- and resident-level correlates for different domains.

DESIGN AND METHODS

Data come from (a) self-reported resident interviews using a multidimensional measure of QOL; (b) resident clinical data from the Minimum Data Set; and (c) facility-level characteristics from Minnesota Department of Human Services. We used factor analysis to confirm domains of QOL, and then employed cross-sectional hierarchical linear modeling to identify significant resident- and facility-level predictors of each domain.

RESULTS

We examined six unique domains of QOL: environment, personal attention, food, engagement, negative mood, and positive mood. In multilevel models, resident-level characteristics were more reliable correlates of QOL than facility characteristics. Among resident characteristics, gender, age, marital status, activities of daily living, mood disorders, cognitive limitations, and length of stay consistently predicted QOL domains. Among facility characteristics, size, staff hours, quality of care, and percent of residents on Medicaid predicted multiple QOL domains.

IMPLICATIONS

Examining separate domains rather than a single summary score makes associations with predictors more accurate. Resident characteristics account for the majority of variability in resident QOL. Helping residents maintain functional abilities, and providing an engaging social environment may be particularly important in improving QOL.

Perception of quality of care among residents of public nursing-homes in Spain: a grounded theory study

Background

The quality of care in nursing homes is weakly defined, and has traditionally focused on quantify nursing homes outputs and on comparison of nursing homes’ resources. Rarely the point of view of clients has been taken into account. The aim of this study was to ascertain what means “quality of care” for residents of nursing homes.

Methods

Grounded theory was used to design and analyze a qualitative study based on in-depth interviews with a theoretical sampling including 20 persons aged over 65 years with no cognitive impairment and eight proxy informants of residents with cognitive impairment, institutionalized at a public nursing home in Spain.

Results

Our analysis revealed that participants perceived the quality of care in two ways, as aspects related to the persons providing care and as institutional aspects of the care’s process. All participants agreed that aspects related to the persons providing care was a pillar of quality, something that, in turn, embodied a series of emotional and technical professional competences. Regarding the institutional aspects of the care’s process, participants laid emphasis on round-the-clock access to health care services and on professional’s job stability.

Conclusions

This paper includes perspectives of the nursing homes residents, which are largely absent. Incorporating residents’ standpoints as a complement to traditional institutional criteria would furnish health providers and funding agencies with key information when it came to designing action plans and interventions aimed at achieving excellence in health care.

The influence of cognitive impairment, special care unit placement, and nursing facility characteristics on resident quality of life

OBJECTIVE

We examined the (a) influence of nursing facility characteristics on resident quality of life and (b) the impact of cognitive impairment and residence on a dementia special care unit(SCU) on QOL after controlling for resident and facility characteristics.

METHOD

Multilevel models (resident and facility) were estimated for residents with and without cognitive impairment on conventional units and dementia SCU. Data came from the 2007 Minnesota Nursing Home Resident Quality of Life and Consumer Satisfaction Survey (N = 13,983).

RESULTS

Level of resident CI was negatively related to QOL, although residing on a dementia SCU was positively related to QOL. Certified Nursing Assistant and activity personnel hours per resident day had a positive relationship with resident QOL.

DISCUSSION

Our results highlight the need to ensure adequate levels of paraprofessional direct care staff and the availability of dementia-focused (SCU)s despite current constraints on long-term care funding.

Behavioral cues to expand a pain model of the cognitively impaired elderly in long-term care

BACKGROUND

The purpose of this study was to determine the relationship between hypothesized pain behaviors in the elderly and a measurement model of pain derived from the Minimum Data Set-Resident Assessment Instrument (MDS-RAI) 2.0 items.

METHODS

This work included a longitudinal cohort recruited from Medicare-certified longterm care facilities across the United States. MDS data were collected from 52,996 residents (mean age 83.7 years). Structural equation modeling was used to build a measurement model of pain to test correlations between indicators and the fit of the model by cognitive status. The model evaluates the theoretical constructs of pain to improve how pain is assessed and detected within cognitive levels.

RESULTS

Using pain frequency and intensity as the only indicators of pain, the overall prevalence of pain was 31.2%; however, analysis by cognitive status showed that 47.7% of the intact group was in pain, while only 18.2% of the severely, 29.4% of the moderately, and 39.6% of the mildly cognitively impaired groups were experiencing pain. This finding supports previous research indicating that pain is potentially under-reported in severely cognitively impaired elderly nursing home residents. With adjustments to the measurement model, a revised format containing affective, behavioral, and inferred pain indicates a better fit of the data to include these domains, as a more complete measure of the pain construct.

CONCLUSION

Pain has a significant effect on quality of life and long-term health outcomes in nursing home residents. Patients most at risk are those with mild to severe cognitive decline, or those unable to report pain verbally. Nursing homes are under great scrutiny to maintain standards of care and provide uniform high-quality care outcomes. Existing data from federally required resident surveys can serve as a valuable tool to identify indicators of pain and trends in care. Great responsibility lies in ensuring pain is included and monitored as a quality measure in long-term care, especially for residents unable to communicate their pain verbally.

Does cognitive impairment influence quality of life among nursing home residents?

PURPOSE

We investigated the relationship between cognitive status and quality of life (QOL) of Minnesota nursing home (NH) residents and the relationship between conventional or Alzheimer's special care unit (SCU) placement and QOL. The study may inform development of dementia-specific quality measures.

DESIGN AND METHODS

Data for analyses came from face-to-face interviews with a representative sample of 13,130 Minnesota NH residents collected through the 2007 Minnesota NH Resident Quality of Life and Consumer Satisfaction survey. We examined 7 QOL domains: comfort, meaningful activities, privacy, environment, individuality, autonomy, relationships, and a positive mood scale. We applied multilevel models (resident and facility) to examine the relationship between the resident's score on each QOL domain and the resident's cognitive impairment (CI) level and SCU placement after controlling for covariates, such as activities of daily living dependency, pain, depression or psychiatric diagnosis, and length of stay.

RESULTS

Residents with more severe CI reported higher QOL in the domains of comfort and environment and lower QOL in activities, individuality, privacy and meaningful relationships, and the mood scale. Residents on SCU reported higher QOL in the meaningful activities, comfort, environment, and autonomy domains but had lower mood scores.

IMPLICATIONS

Our findings point to QOL domains that show significant variation by CI and thus may be of greatest interest to consumers, providers, advocacy groups, and other stakeholders committed to improving dementia care. Findings are particularly applicable to the development of NH quality indicators that more accurately represent the QOL of NH residents with CI.

Leadership, staffing and quality of care in nursing homes

Background

Leadership and staffing are recognised as important factors for quality of care. This study examines the effects of ward leaders' task- and relationship-oriented leadership styles, staffing levels, ratio of registered nurses and ratio of unlicensed staff on three independent measures of quality of care.

Methods

A cross-sectional survey of forty nursing home wards throughout Norway was used to collect the data. Five sources of data were utilised: self-report questionnaires to 444 employees, interviews with and questionnaires to 13 nursing home directors and 40 ward managers, telephone interviews with 378 relatives and 900 hours of field observations. Separate multi-level analyses were conducted for quality of care assessed by relatives, staff and field observations respectively.

Results

Task-oriented leadership style had a significant positive relationship with two of the three quality of care indexes. In contrast, relationship-oriented leadership style was not significantly related to any of the indexes. The lack of significant effect for relationship-oriented leadership style was due to a strong correlation between the two leadership styles (r = 0.78). Staffing levels and ratio of registered nurses were not significantly related to any of the quality of care indexes. The ratio of unlicensed staff, however, showed a significant negative relationship to quality as assessed by relatives and field observations, but not to quality as assessed by staff.

Conclusions

Leaders in nursing homes should focus on active leadership and particularly task-oriented behaviour like structure, coordination, clarifying of staff roles and monitoring of operations to increase quality of care. Furthermore, nursing homes should minimize use of unlicensed staff and address factors related to high ratios of unlicensed staff, like low staff stability. The study indicates, however, that the relationship between staffing levels, ratio of registered nurses and quality of care is complex. Increasing staffing levels or the ratio of registered nurses alone is not likely sufficient for increasing quality of care.

Comparative effectiveness of implementing evidence-based education and best practices in nursing homes: effects on falls, quality-of-life and societal costs

OBJECTIVES

The aim was to conduct a comparative effectiveness research study to estimate the effects on falls, negative affect and behavior, and the associated societal costs of implementing evidence-based education and best practice programs in nursing homes (NHs).

DESIGN

A quasi-experimental design, a variant of a cluster randomized trial of implementation research examining transfer of research findings into practice, was used to compare outcomes among three groups of residents in 15 nursing homes per group.

METHODS

Forty-five NHs participated in one of three conditions: (1) standard training, (2) training and implementation modules provided to facility staff, or (3) staff training and implementation modules augmented by surveyor training. After application of exclusion and matching criteria, nursing homes were selected at random within three regions of New York State. Outcomes were assessed using medical records and the Minimum Data Set (MDS).

RESULTS

The main finding was of a significant reduction of between 5 and 12 annual falls in a typical nursing home. While both intervention groups resulted in fall reduction, the larger and significant reduction occurred in the group without surveyor training. A significant reduction in negative affect associated with training staff and surveyors was observed. Net cost savings from fall prevention was estimated.

CONCLUSIONS

A low cost intervention targeting dissemination of evidence-based best practices in nursing homes can result in the potential for fall reduction, and cost savings.

The Resident Assessment Instrument-Minimum Data Set 2.0 quality indicators: a systematic review

Background

The Resident Assessment Instrument-Minimum Data Set (RAI-MDS) 2.0 is designed to collect the minimum amount of data to guide care planning and monitoring for residents in long-term care settings. These data have been used to compute indicators of care quality. Use of the quality indicators to inform quality improvement initiatives is contingent upon the validity and reliability of the indicators. The purpose of this review was to systematically examine published and grey research reports in order to assess the state of the science regarding the validity and reliability of the RAI-MDS 2.0 Quality Indicators (QIs).

Methods

We systematically reviewed the evidence for the validity and reliability of the RAI-MDS 2.0 QIs. A comprehensive literature search identified relevant original research published, in English, prior to December 2008. Fourteen articles and one report examining the validity and/or reliability of the RAI-MDS 2.0 QIs were included.

Results

The studies fell into two broad categories, those that examined individual quality indicators and those that examined multiple indicators. All studies were conducted in the United States and included from one to a total of 209 facilities. The number of residents included in the studies ranged from 109 to 5758. One study conducted under research conditions examined 38 chronic care QIs, of which strong evidence for the validity of 12 of the QIs was found. In response to these findings, the 12 QIs were recommended for public reporting purposes. However, a number of observational studies (n = 13), conducted in "real world" conditions, have tested the validity and/or reliability of individual QIs, with mixed results. Ten QIs have been studied in this manner, including falls, depression, depression without treatment, urinary incontinence, urinary tract infections, weight loss, bedfast, restraint, pressure ulcer, and pain. These studies have revealed the potential for systematic bias in reporting, with under-reporting of some indicators and over-reporting of others.

Conclusion

Evidence for the reliability and validity of the RAI-MDS QIs remains inconclusive. The QIs provide a useful tool for quality monitoring and to inform quality improvement programs and initiatives. However, caution should be exercised when interpreting the QI results and other sources of evidence of the quality of care processes should be considered in conjunction with QI results.

Adjustment of nursing home quality indicators

Background

This manuscript describes a method for adjustment of nursing home quality indicators (QIs) defined using the Center for Medicaid & Medicare Services (CMS) nursing home resident assessment system, the Minimum Data Set (MDS). QIs are intended to characterize quality of care delivered in a facility. Threats to the validity of the measurement of presumed quality of care include baseline resident health and functional status, pattern of comorbidities, and facility case mix. The goal of obtaining a valid facility-level estimate of true quality of care should include adjustment for resident- and facility-level sources of variability.

Methods

We present a practical and efficient method to achieve risk adjustment using restriction and indirect and direct standardization. We present information on validity by comparing QIs estimated with the new algorithm to one currently used by CMS.

Results

More than half of the new QIs achieved a "Moderate" validation level.

Conclusions

Given the comprehensive approach and the positive findings to date, research using the new quality indicators is warranted to provide further evidence of their validity and utility and to encourage their use in quality improvement activities.

Monitoring quality of care in nursing homes and making information available for the general public: state of the art

OBJECTIVE

To improve quality of care, nursing homes need to assess and monitor their performance. This study aims to gain insight in the availability and contents of publicly accessible quality systems in northwestern Europe and the USA.

METHODS

This study employed a systematic search consisting of searching bibliographic sources from 2005 to September 2009, personal communication with experts, a conventional internet search, and hand-searching of references.

RESULTS

Ten out of the 14 included countries use a quality systems. There is a large variety in type and number of indicators assessed. In general more attention is paid to the assessment of structure and process indicators, compared to outcome indicators. The countries differ in the way the results are made available to the general public.

CONCLUSION

It can be concluded that monitoring and publicizing data on quality of care in nursing homes is becoming increasingly widespread. However, the systems still need further development and refinement.

PRACTICE IMPLICATIONS

The systems need to be further developed regarding validity and reliability. Furthermore, the uniformity of the systems should be increased, more attention must be paid to the assessment of patient satisfaction, and additional insight must be gained in the user-friendliness of the systems.

The work of the RN Minimum Data Set coordinator in its organizational context

The Resident Assessment Instrument/Minimum Data Set (RAI/MDS) is the foundational clinical framework for nursing home care, functioning as both a clinical assessment instrument and an assessment process. An RN is mandated by statute to complete or coordinate the work associated with this framework. Using both focus groups and questionnaires, 24 RN MDS coordinators attending a national conference for MDS coordinators described their work in its organizational context. Shortell et al.'s continuous quality framework of structural, technical, cultural, and strategic organizational dimensions was used to categorize descriptive themes. Clinical implications of the study findings are summarized.

Longitudinal investigation of wandering behavior in Department of Veterans Affairs nursing home care units

OBJECTIVES

To explore the extent of and factors associated with male residents who change wandering status post nursing home admission.

DESIGN

Longitudinal design with secondary data analyses. Admissions over a 4-year period were examined using repeat assessments with the Minimum Data Set (MDS) to formulate a model understanding the development of wandering behavior.

SETTING

One hundred thirty-four Veterans Administration (VA) nursing homes throughout the United States.

PARTICIPANTS

Included 6673 residents admitted to VA nursing homes between October 2000 and October 2004.

MEASUREMENTS

MDS variables (cognitive impairment, mood, behavior problems, activities of daily living and wandering) included ratings recorded at residents' admission to the nursing home and a minimum of two other time points at quarterly intervals.

RESULTS

The majority (86%) of the sample were classified as non-wanderers at admission and most of these (94%) remained non-wanderers until discharge or the end of the study. Fifty-one per cent of the wanderers changed status to non-wanderers with 6% of these residents fluctuating in status more than two times. Admission variables associated with an increased risk of changing status from non-wandering to wandering included older age, greater cognitive impairment, more socially inappropriate behavior, resisting care, easier distractibility, and needing less help with personal hygiene. Requiring assistance with locomotion and having three or more medical comorbidities were associated with a decreased chance of changing from non-wandering to wandering status.

CONCLUSION

A resident's change from non-wandering to wandering status may reflect an undetected medical event that affects cognition, but spares mobility.

Registered nurse staffing mix and quality of care in nursing homes: a longitudinal analysis

PURPOSE

To examine the relationship between registered nurse (RN) staffing mix and quality of nursing home care measured by regulatory violations.

DESIGN AND METHODS

A retrospective panel data study (1999-2003) of 2 groups of California freestanding nursing homes. One group was 201 nursing homes that consistently met the state's minimum standard for total nurse staffing level over the 5-year period. The other was 210 nursing homes that consistently failed to meet the standard over the period. All facility and market variables were drawn from California's cost report data and state licensing and certification data, as well as 3 other databases.

RESULTS

The RN to total nurse staffing ratio was negatively related to serious deficiencies in nursing homes that consistently met the staffing standard, whereas the ratio was negatively associated with total deficiencies in nursing homes that consistently failed to meet the standard over the 5-year period. As the RN to licensed vocational nurse ratios increased, total deficiencies and serious deficiencies decreased in both groups of nursing homes.

IMPLICATIONS

A higher RN mix is positively related to quality of care, but the relationship is affected by overall nurse staffing levels in nursing homes. Further studies are necessary for a better understanding of RNs' unique contributions to the quality of care in nursing homes.

Nursing sensitive quality indicators for nursing home care: international review of literature, policy and practice

OBJECTIVES

To review nursing sensitive indicators used for nursing home care across seven nations with similar elder care (USA, Australia, Norway, New Zealand, England, Sweden and Denmark), and to evaluate their validity.

DESIGN

Systematic search in the literature and other sources to find descriptions of development and validity testing of national quality indicators.

DATA SOURCES

Papers from scientific databases, relevant websites, additional papers and reports, and personal communication with experts in the field. The material was included if it contributed to the description of each country's processes in defining nursing sensitive quality indicators for nursing home care, and the main focus was use, developing and/or testing of quality.

REVIEW METHODS

An overview of each country's utilization of nursing sensitive quality indicators was obtained. The evidence for the validity in development and testing procedures was analyzed using a set of evaluation criteria.

RESULTS

All countries, except Sweden, have nationally standardized assessment of the patient before admission to the nursing home. There is large variation in the way these data collection tools were developed and how the data is used. Only the USA has systematically developed quality indicators on the basis of resident assessments. Twenty-three indicators used nationally in USA, thirteen in Australia, four in Norway, three in New Zealand and three in England were selected for review, and were evaluated for their validity as described in the literature. All selected indicators had satisfactory face validity, and for the twenty-three indicators used in the USA there was evidence for reliability testing. None of the quality indicators met all the criteria for validity. Evidence that the quality indicators can demonstrate meaningful differences in care and that the information can be extracted with minimal extra efforts was not found. Thresholds for high or low quality were determined only for the US quality indicators.

CONCLUSIONS

There are concerns about the validity and reliability of nursing sensitive quality indicators for nursing home care. The indicator development is sparsely documented. It is recommended that the development of quality indicators follows a sound process and that extensive empirical testing of the indicators is done.

MDS-based state Medicaid reimbursement and the ADL-decline quality indicator

PURPOSE

We examined the relationship between the quality indicator for decline in activities of daily living (ADL) and the use of the Minimum Data Set (MDS) for determining Medicaid skilled nursing facility reimbursement.

DESIGN AND METHODS

We conducted a cross-sectional analysis using the 2004 National MDS Facility Quality Indicator reports as the dependent variable in a multilevel regression model. Our primary explanatory variable was a state-level binary variable distinguishing whether or not the state used an MDS-based Medicaid-reimbursement system in 2004. We obtained control variables through the Online Survey, Certification, and Reporting System.

RESULTS

Skilled nursing facilities located in states that used the MDS for Medicaid reimbursement reported more ADL decline than did facilities in states that did not use the MDS for reimbursement.

IMPLICATIONS

The finding suggests that the ADL-decline quality indicator captures more than just quality, including state-level policy differences. Therefore, the ADL-decline quality indicator should be investigated and refined prior to being relied on for pay-for-performance initiatives.

Wandering behavior in veterans with psychiatric diagnoses residing in nursing homes

OBJECTIVE

To investigate nursing home residents with psychiatric diagnoses who wander and who are not diagnosed with dementia.

METHOD

A national cross-sectional study was conducted in a male Veterans Administration Nursing Home Care Unit population using a retrospective review of the MDS.

RESULTS

Eleven thousand six hundred and nineteen residents were identified as having a psychiatric diagnosis without significant cognitive impairment; just under 1% (n = 113) wandered. Using rare events logit regression, we determined that a diagnosis of schizophrenia/bipolar disorder or comorbid psychiatric conditions were associated with increased risk of wandering compared to residents diagnosed with anxiety/depression. Psychiatric wanderers were also more likely to, have symptoms of delirium, exhibit socially inappropriate behavior, manifest problems in decision-making, take anti-psychotic medications, and to be more independent in locomotion.

CONCLUSIONS

Psychiatric wanderers may be conceptualized better as exhibiting ambulatory concomitants of unremitted neurological/psychiatric symptoms or medication side effects of their treatment. Findings have implications for addressing treatable causes of wandering.

Building quality report cards for geriatric care in The Netherlands: using concept mapping to identify the appropriate "building blocks" from the consumer's perspective

PURPOSE

This article reports on a study to identify "building blocks" for quality report cards for geriatric care. Its aim is to present (a) the results of the study and (b) the innovative step-by-step approach that was developed to arrive at these results.

DESIGN AND METHODS

We used Concept Mapping/Structured Conceptualization to define the building blocks. Applied to this study, we carried out Concept Mapping using several data collection methods: (a) a Web search, (b) semistructured interviews, (c) document analysis, (d) questionnaires, and (e) focus groups.

RESULTS

The findings showed that, although home care and institutional care for elderly adults share many quality themes, experts need to develop separate quality report cards for the two types of geriatric care. Home care consumers attach more value to the availability, continuity, and reliability of care, whereas consumers of institutional care value privacy, respect, and autonomy most. This study also showed, unlike many other quality report card studies, that consumers want information on structure, process and outcome indicators, and rating outcome indicators such as effectiveness and safety of care both for home care and for institutional care. Concept Mapping proved to be a valuable method for developing quality report cards in health care.

IMPLICATIONS

Building blocks were delivered for two quality report cards for geriatric care and will be used when quality report cards are built in The Netherlands. For the U.S. context, this study shows that current national report cards for geriatric care should be supplemented with quality-of-life data.

Impact of Medicaid reimbursement on mental health quality indicators

OBJECTIVE

To examine the relationship between the use of the Minimum Data Set (MDS) for determining Medicaid reimbursement to nursing facilities and the MDS Quality Indicators examining nursing facility residents' mental health.

DATA SOURCES

The 2004 National MDS facility Quality Indicator reports served as the dependent variables. Explanatory variables were based on the 2004 Online Survey Certification and Reporting system (OSCAR) and an examination of existing reports, a review of the State Medicaid Plans, and State Medicaid personnel.

STUDY DESIGN

Multilevel regression models were used to account for the hierarchical structure of the data.

DATA COLLECTION

MDS and OSCAR data were linked by facility identifiers and subsequently linked with state-level variables.

PRINCIPAL FINDINGS

The use of the MDS for determining Medicaid reimbursement was associated with higher (poorer) quality indicator values for all four mental health quality indicators examined. This effect was not found in four comparison quality indicators.

CONCLUSIONS

The findings indicate that documentation of mental health symptoms may be influenced by economic incentives. Policy makers should be cautioned from using these measures as the basis for decision making, such as with pay-for-performance initiatives.

Implementation of the resident assessment instrument/minimum data set in the nursing home as organization: implications for quality improvement in RN clinical assessment

The Resident Assessment Instrument/Minimum Data Set (RAI/MDS) used in nursing homes (NHs) participating in the Federal Medicare and Medicaid programs is a state-of-the-art, computerized clinical assessment instrument. RAI/MDS-derived data are essential, used for NH reimbursement, quality measurement, regulatory quality monitoring activities, and clinical care planning. Completing or coordinating the RAI/MDS, which may be conceived of as implementation, is a federally mandated responsibility of the RN involving clinical assessment, a core professional competency of any RN. How the RAI/MDS is implemented in each NH provides evidence of how each NH as an organization understands both the RAI/MDS process and its organizational level responsibility for promotion of RN competence in clinical assessment. Research literature related to RAI/MDS development, testing, and accuracy is used to identify what is known about organizational level implementation of the RAI/MDS. Evidence-based suggestions to enhance RN competence in RAI/MDS clinical assessments, given existing organizational barriers, are provided.

Nursing effort and quality of care for nursing home residents

PURPOSE

The purpose of this study was to determine the relationship between nursing home staffing level, care received by individual residents, and resident quality-related care processes and functional outcomes.

DESIGN AND METHODS

Nurses recorded resident care time for 5,314 residents on 156 units in 105 facilities in four states (Colorado, Indiana, Minnesota, and Mississippi). We linked residents' care times to their measures of health and functioning from Minimum Data Set assessments. Major variables were unit- and resident-specific minutes of care per day, process measures (physical restraints, range of motion, toileting program, and training in activities of daily living [ADLs]), outcome measures (ADL decline, mobility decline, and worsening behavior between the time study and 90-day follow-up), and covariates such as unit type and resident health status. We used multilevel analysis to examine staffing and quality relationships.

RESULTS

Residents with toileting programs, range of motion or ADL training, and restraints received significantly more care from unlicensed but not from licensed staff. However, functional outcomes were not significantly related to care received from licensed or unlicensed staff, except for ADL decline, which was greatest for residents receiving more unlicensed minutes of care. Unit staffing level (licensed and unlicensed) was unrelated to any of the care processes or outcome measures, although higher overall staffing was associated with more time devoted to direct resident care.

IMPLICATIONS

Future research into nursing home quality should focus on organization and delivery rather than simply the amount of care available.

Improving quality assessment through multilevel modeling: the case of nursing home compare

OBJECTIVE

To demonstrate how multilevel modeling and empirical Bayes (EB) estimates can improve Medicare's Nursing Home Compare quality measures (QMs).

DATA SOURCES/STUDY SETTING

Secondary data from July 1 to September 30, 2004. Facility-level QMs were estimated from minimum data set (MDS) assessments for approximately 31,000 Minnesota nursing home residents in 393 facilities.

STUDY DESIGN

Prevalence and incidence rates for 12 nursing facility QMs (e.g., use of physical restraints, pressure sores, and weight loss) were estimated with EB methods and risk adjustment using a hierarchical general linear model. Three sets of rates were developed: Nursing Home Compare's current method, unadjusted EB rates, and risk-adjusted EB rates. Bayesian 90 percent credibility intervals (CIs) were constructed around EB rates, and these were used to flag facilities for potential quality of care problems.

DATA COLLECTION/EXTRACTION METHODS

MDS assessments were performed by nursing facility staff, transmitted electronically to the Minnesota Department of Health, and provided to the investigators.

PRINCIPAL FINDINGS

Facility rates and rankings for the 12 QMs differed substantially using the multilevel models compared with current methods. The EB estimated rates shrank considerably toward the population mean. Risk adjustment had a large impact on some QM rates and a more modest impact on others. When EB CIs were used to flag problem facilities, there was wide variation across QMs in the percentage of facilities flagged.

CONCLUSIONS

Multilevel modeling should be applied to Nursing Home Compare and more widely in other health care quality assessment systems.

Where should Momma go? Current nursing home performance measurement strategies and a less ambitious approach

Background

Nursing home performance measurement systems are practically ubiquitous. The vast majority of these systems aspire to rank order all nursing homes based on quantitative measures of quality. However, the ability of such systems to identify homes differing in quality is hampered by the multidimensional nature of nursing homes and their residents. As a result, the authors doubt the ability of many nursing home performance systems to truly help consumers differentiate among homes providing different levels of quality. We also argue that, for consumers, performance measurement models are better at identifying problem facilities than potentially good homes.

Discussion

In response to these concerns we present a proposal for a less ambitious approach to nursing home performance measurement than previously used. We believe consumers can make better informed choice using a simpler system designed to pinpoint poor-quality nursing homes, rather than one designed to rank hundreds of facilities based on differences in quality-of-care indicators that are of questionable importance. The suggested performance model is based on five principles used in the development of the Consumers Union 2006 Nursing Home Quality Monitor.

Summary

We can best serve policy-makers and consumers by eschewing nursing home reporting systems that present information about all the facilities in a city, a state, or the nation on a website or in a report. We argue for greater modesty in our efforts and a focus on identifying only the potentially poorest or best homes. In the end, however, it is important to remember that information from any performance measurement website or report is no substitute for multiple visits to a home at different times of the day to personally assess quality.

Wanderers with Cognitive Impairment in Department of Veterans Affairs Nursing Home Care Units

OBJECTIVES

To explore the extent of and factors associated with male nursing home residents who wander.

DESIGN

Cross-sectional design with secondary data analyses.

SETTING

One hundred thirty-four nursing home facilities operated by the Department of Veterans Affairs.

PARTICIPANTS

Fifteen thousand ninety-two nursing home residents with moderate or severe cognitive impairment admitted over a 4-year period.

MEASUREMENTS

Selected variables from the Minimum Data Set included ratings recorded at residents' admission to the nursing home (cognitive impairment, mood, behavior problems, activities of daily living, and wandering).

RESULTS

In this sample of residents with moderate or severe cognitive impairment, the proportion of wanderers was found to be 21%. Wanderers were more likely to exhibit severe (vs moderate) cognitive impairment, socially inappropriate behavior, resistance to care, use of antipsychotic medication, independence in locomotion or ambulation, and dependence in activities of daily living related to basic hygiene. A sizable proportion of wanderers were found to be wheelchair users (25%) or were wanderers with dual dementia and psychiatric diagnoses (23%), characteristics that are not well documented in the literature.

CONCLUSION

These results support previous clinical understanding of wanderers to be those who are more likely to exhibit more-severe cognitive impairment. Based on a statistical model with variables generated from prior research findings, classification as a wanderer was found to be associated with other disruptive activity such as socially inappropriate behavior and resisting care. Two understudied populations of wanderers were documented: wheelchair wanderers and those with comorbid dementia and psychiatric diagnoses. Future longitudinal studies should examine predictors of wandering behavior, and further research should explore the understudied subpopulations of wheelchair and dual-diagnosis wanderers who emerged in this study.