A Review of Satisfaction Instruments Used in Long-Term Care Settings

Castle, Nicholas G.

doi:10.1300/j031v19n02_02

Cited by 34 publications

(22 citation statements)

References 58 publications

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“…Measurement types utilized in the study, sample size, and study design also varied considerably. Many of the surveys reflected concerns of the providers rather than concerns of the residents (Castle, 2007). A major criticism was the lack of scientific methods used to develop the surveys (Cohen-Mansfield, 2000;Ejaz & Castle, 2007).…”

Section: Literature Review: Qolmentioning

confidence: 99%

Plotting the Course of Well-Being

Wilby

Stryker²,

Hyde³

et al. 2016

Sage Open

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Persons above age 80 comprise the fastest growing segment of the U.S. population, and it is estimated that one in four will need long-term care due to increased disabilities and illness. A major concern for residents, families, and providers is to ensure care that "allows the resident to maintain or attain their highest practicable physical, mental and psychosocial wellbeing." The challenge is measuring a subjective concept such as well-being. The Eden Alternative is a current initiative aimed at improving the quality of life and well-being of long-term care residents. The initiative consists of providing long-term care environments that emphasize person-directed decision making and well-being. The purpose of this study was to explore the psychometric properties of the Eden Alternative Well-Being Assessment Tool (EAWBAT). There are three assessment tools designed to measure the well-being of elders (residents), family members of residents, and employees working in the longterm care environments. The sample consisted of 237 residents, 430 employees, and 134 family members from seven Eden Alternative organizations throughout the United States. Factor analysis was completed to identify the underlying structure in these data for elders, employees, and families. Reliability statistics were computed for each scale. Reliability statistics ranged from .876 (employee assessment tool) to .949 (family assessment tool), indicating the potential of the EAWBAT to measure the well-being of residents residing in long-term care environments, employees supporting them, and their family members.

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Section: Literature Review: Qolmentioning

confidence: 99%

Plotting the Course of Well-Being

Wilby

Stryker²,

Hyde³

et al. 2016

Sage Open

View full text Add to dashboard Cite

show abstract

“…Almost all satisfaction initiatives CPS cognitive performance scale a These estimates use the information provided in Tables 1, 2, 3 and 4, and given the number of residents in each facility and the CPS levels of these residents provide estimates of the number of likely complete satisfaction surveys to date have used sample sizes within this range, 15 with the goal of good precision for comparisons, constrained by limited availability of residents per facility. Indeed, a recent review of the literature, consisting of 44 published manuscripts, cites 20 to 30 residents as the most often used target sample size (Castle 2007). It is clear from our analysis that for residents with lengths of stay of 30 days or more it is unlikely that even as few as 20-30 such annual complete surveys can be expected from most hospital-based facilities.…”

Section: Discussionmentioning

confidence: 88%

Challenges to Achieving Adequate Sample Sizes for Facility Level Evaluations of Nursing Home Resident Satisfaction

Castle

Elliott

2009

Ageing Int.

Self Cite

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Residents with cognitive limitations by necessity are excluded from nursing home satisfaction initiatives. We used national data from the Minimum Data Set (MDS) to examine the distribution of resident cognitive status across nursing homes to gain further insight into how residents with cognitive limitations could impact the sample size of respondents. We estimate the associations of cognitive status (using the MDS Cognitive Performance Scale, [CPS]) with length-of-stay, bed size, and hospital affiliation. The analyses were performed using approximately 3.5 million MDS records collected from nursing homes during 2001. The results show adequately precise information for long-stay residents will be available from 4 to 46% of hospital-based facilities and 67-90% of freestanding facilities, whereas information from short-stay residents will be available from 34 to 95% of hospitalbased facilities and 14-50% of freestanding facilities. Several initiatives are underway to measure and report the satisfaction of nursing home residents. In all of these large satisfaction initiatives the sampling strategy of respondents needs to be sufficient to allow for nursing home comparisons, and second, to allow interfacility benchmarking comparisons. We highlight the difficulty in obtaining information for these initiatives.

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“…Research efforts have concluded that consumer satisfaction is an important indicator of quality of care in nursing homes (Gesell, 2001). In addition, some studies in nursing homes have concluded that resident satisfaction data provide information about the quality of care that is different from clinical indicators (Castle, 2007). Thus, the availability of the NHCAHPS-D as a reliable instrument for collecting satisfaction data will help the nursing home industry in many respects.…”

Section: Resultsmentioning

confidence: 99%

“…Statistics recently released show that more than half of all seniors cared for in nursing homes are now discharged home (Centers for Medicare and Medicaid Services [CMS], 2009). Moreover, when satisfaction scores from long-stay residents are compared with those of seniors discharged home, substantial differences in the scores exist (Castle, 2007). This would indicate that these are different populations with different needs in the nursing home.…”

mentioning

confidence: 99%

Satisfaction of Discharged Nursing Home Residents

Castle

Engberg

Men³

2016

J Appl Gerontol

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The psychometric properties of The Consumer Assessment of Healthcare Providers and Systems (CAHPS®) Nursing Home survey: Discharged Resident Instrument (NHCAHPS-D) are examined. A random sample of 550 nursing homes was selected from across the United States and 365 agreed to participate (participation rate = 66%). From 7,020 surveys sent to discharged residents, 4,926 were returned (response rate = 70%). The psychometric properties of the resident responses and the survey items were robust. Confirmatory factor analyses model fit statistics met the criterion for good conformance. Five of the initial NHCAHPS-D instrument domains were identified (environment, care, communication and respect, autonomy, and activities), along with a sixth (transitions) added by the authors. The standardization and reliability that NHCAHPS-D provides could facilitate the same benefits we have seen in other industries for the CAHPS family of instruments (i.e., quality improvement, reimbursement, public reporting, and benchmarking) and also become an industry standard.

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A Review of Satisfaction Instruments Used in Long-Term Care Settings

Cited by 34 publications

References 58 publications

Plotting the Course of Well-Being

Plotting the Course of Well-Being

Challenges to Achieving Adequate Sample Sizes for Facility Level Evaluations of Nursing Home Resident Satisfaction

Satisfaction of Discharged Nursing Home Residents

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