Nurse Staffing: A Structural Proxy for Hospital Quality?

Mitchell, Pamela H.; Lang, Norma M.

doi:10.1097/01.mlr.0000108832.39437.9f

Cited by 38 publications

(20 citation statements)

References 6 publications

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“…Respondents also rated their health on nine domains: affect, mobility, sleep and energy, cognition, interpersonal activities, vision, self-care, pain, and breathing [20]. The SAGE composite health score was derived from 16 responses, two questions for each domain, using a Rasch partial credit model of Item Response Theory [21] that served to generate a composite health-state score [22,23]. …”

Section: Methodsmentioning

confidence: 99%

Hand grip strength and associated factors in non-institutionalised men and women 50 years and older in South Africa

2014

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BackgroundLittle is known about the prevalence, predictors and gender differences in hand grip strength of older adults in Africa. This study aims to investigate social and health differences in hand grip strength among older adults in a national probability sample of older South Africans who participated in the Study of Global Ageing and Adults Health (SAGE wave 1) in 2008.MethodsWe conducted a national population-based cross-sectional study with a sample of 3840 men and women aged 50 years or older in South Africa. The questionnaire included socio-demographic characteristics, health variables, and anthropometric measurements. Linear multivariate regression analysis was performed to assess the association of social factors, health variables and grip strength.ResultsThe mean overall hand grip strength was 37.9 kgs for men (mean age 61.1 years, SD = 9.1) and 31.5 kgs for women (mean age 62.0 years, SD = 9.7). In multivariate analysis among men, greater height, not being underweight and lower functional disability was associated with greater grip strength, and among women, greater height, better cognitive functioning, and lower functional disability were associated with greater grip strength.ConclusionsGreater height and lower functional disability were found for both older South African men and women to be significantly associated with grip strength.

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Section: Methodsmentioning

confidence: 99%

Hand grip strength and associated factors in non-institutionalised men and women 50 years and older in South Africa

2014

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“…Following each item calibration, using chi-squared fit statistics to evaluate its contribution to the composite health score, the raw composite score was transformed through Rasch modeling into a continuous cardinal scale, with 0 representing worst health and 100 representing best health [28]. The psychometric properties of the health score have been evaluated elsewhere [29]. …”

Section: Methodsmentioning

confidence: 99%

Health and functional status among older people with HIV/AIDS in Uganda

et al. 2011

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BackgroundIn sub-Saharan Africa, little is known about the health and functional status of older people who either themselves are HIV infected or are affected by HIV and AIDS in the family. This aim of this study was to describe health among older people in association with the HIV epidemic.MethodsThe cross-sectional survey consisted of 510 participants aged 50 years and older, equally divided into five study groups including; 1) HIV infected and on antiretroviral therapy (ART) for at least 1 year; 2) HIV infected and not yet eligible for ART; 3) older people who had lost a child due to HIV/AIDS; 4) older people who have an adult child with HIV/AIDS; 5) older people not known to be infected or affected by HIV in the family. The participants were randomly selected from ongoing studies in a rural and peri-urban area in Uganda. Data were collected using a WHO standard questionnaire and performance tests. Eight indicators of health and functioning were examined in an age-adjusted bivariate and multivariate analyses.ResultsIn total, 198 men and 312 women participated. The overall mean age was 65.8 and 64.5 years for men and women respectively. Men had better self-reported health and functional status than women, as well as lower self-reported prevalence of chronic diseases. In general, health problems were common: 35% of respondents were diagnosed with at least one of the five chronic conditions, including 15% with depression, based on algorithms; 31% of men and 35% of women had measured hypertension; 25% of men and 21% of women had poor vision test results. HIV-positive older people, irrespective of being on ART, and HIV-negative older people in the other study groups had very similar results for most health status and functioning indicators. The main difference was a significantly lower BMI among HIV-infected older people.ConclusionThe systematic exploration of health and well being among older people, using eight self-reported and objective health indicators, showed that basic health problems are very common at older ages and poorly addressed by existing health services. HIV-infected older people, however, whether on ART or not yet on ART, had a similar health and functional status as other older people.

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“…Asking more than one question about difficulties in a given domain provides more robust assessments of individual health levels and reduces measurement error for any single self-reported item. Item response theory (IRT) was used to score the responses to the self-reported health questions using a partial credit model which served to generate a composite HS score (33, 34). An item calibration was obtained for each item.…”

Section: Datasetmentioning

confidence: 99%

Ageing and adult health status in eight lower-income countries: the INDEPTH WHO-SAGE collaboration

Kowal

Kahn²,

et al. 2010

Global Health Action

137

118

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BackgroundGlobally, ageing impacts all countries, with a majority of older persons residing in lower- and middle-income countries now and into the future. An understanding of the health and well-being of these ageing populations is important for policy and planning; however, research on ageing and adult health that informs policy predominantly comes from higher-income countries. A collaboration between the WHO Study on global AGEing and adult health (SAGE) and International Network for the Demographic Evaluation of Populations and Their Health in developing countries (INDEPTH), with support from the US National Institute on Aging (NIA) and the Swedish Council for Working Life and Social Research (FAS), has resulted in valuable health, disability and well-being information through a first wave of data collection in 2006–2007 from field sites in South Africa, Tanzania, Kenya, Ghana, Viet Nam, Bangladesh, Indonesia and India.ObjectiveTo provide an overview of the demographic and health characteristics of participating countries, describe the research collaboration and introduce the first dataset and outputs.MethodsData from two SAGE survey modules implemented in eight Health and Demographic Surveillance Systems (HDSS) were merged with core HDSS data to produce a summary dataset for the site-specific and cross-site analyses described in this supplement. Each participating HDSS site used standardised training materials and survey instruments. Face-to-face interviews were conducted. Ethical clearance was obtained from WHO and the local ethical authority for each participating HDSS site.ResultsPeople aged 50 years and over in the eight participating countries represent over 15% of the current global older population, and is projected to reach 23% by 2030. The Asian HDSS sites have a larger proportion of burden of disease from non-communicable diseases and injuries relative to their African counterparts. A pooled sample of over 46,000 persons aged 50 and over from these eight HDSS sites was produced. The SAGE modules resulted in self-reported health, health status, functioning (from the WHO Disability Assessment Scale (WHODAS-II)) and well-being (from the WHO Quality of Life instrument (WHOQoL) variables). The HDSS databases contributed age, sex, marital status, education, socio-economic status and household size variables.ConclusionThe INDEPTH WHO–SAGE collaboration demonstrates the value and future possibilities for this type of research in informing policy and planning for a number of countries. This INDEPTH WHO–SAGE dataset will be placed in the public domain together with this open-access supplement and will be available through the GHA website (www.globalhealthaction.net) and other repositories. An improved dataset is being developed containing supplementary HDSS variables and vignette-adjusted health variables. This living collaboration is now preparing for a next wave of data collection.

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Nurse Staffing: A Structural Proxy for Hospital Quality?

Cited by 38 publications

References 6 publications

Hand grip strength and associated factors in non-institutionalised men and women 50 years and older in South Africa

Hand grip strength and associated factors in non-institutionalised men and women 50 years and older in South Africa

Health and functional status among older people with HIV/AIDS in Uganda

Ageing and adult health status in eight lower-income countries: the INDEPTH WHO-SAGE collaboration

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