Methodological considerations in hospital patient opinion surveys

French, Kate Rollert

doi:10.1016/0020-7489(81)90004-3

Cited by 92 publications

(27 citation statements)

References 28 publications

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“…Patients are also more satisfied when the provider has time for them and when the continuity of care is assured. The results of the satisfaction studies vary depending on the purpose and interests of the study; this is why a comparison of the results is difficult (10,12,15,16). In Finland, the study made by Sarvimaki (37) is especially comparable with this study.…”

Section: Review Of the Literaturementioning

confidence: 54%

“…As a general rule it seems that most patients are satisfied with the quality of nursing care, as is the case also in the study of Sarvimaki (37, also 43, 44). The level of satisfaction is highest among hospital patients, who also form the biggest target group (1,16). Nonetheless there are also patient groups who are not fully satisfied with the care they receive (15).…”

Section: Review Of the Literaturementioning

confidence: 96%

“…In most cases (N = 33) the data were collected by means of a questionnaire; seven used interviews and one patient letters. We also examined some metaanalyses and summaries of patient satisfaction studies (10,12,15,16,17,18,19,20,21). Most of the studies were based on instruments that had been developed earlier and that were now being tested.…”

Section: Review Of the Literaturementioning

confidence: 99%

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Patient Satisfaction as an Indicator of the Quality of Nursing Care

Leino‐Kilpi¹,

Vuorenheimo²

1992

Nordic Journal of Nursing Research

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This paper deals with the patient satisfaction, as an indicator of the quality of nursing care. The literature review and a Finnish empirical illustration, using patient interviews, are included in the article. The results indicate a high level of satisfaction. However, there is no basis to use the measurement of patient satisfaction as a sole indicator of the quality of care, because the satisfied patients expressed also reasons for dissatisfaction.

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Section: Review Of the Literaturementioning

confidence: 54%

Section: Review Of the Literaturementioning

confidence: 96%

Section: Review Of the Literaturementioning

confidence: 99%

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Patient Satisfaction as an Indicator of the Quality of Nursing Care

Leino‐Kilpi¹,

Vuorenheimo²

1992

Nordic Journal of Nursing Research

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“…6,7 The use of patient feedback obtained after meetings and experiences with medical professionals is now well established 8,9 following quality developments in the 1970s 10 and 1980s, 11 despite early methodological concerns regarding varying response rates and possible nonresponse (missing value) bias. 12 Many national medical councils and healthcare employers currently recommend or require patient feedback as part of an ongoing personal development program between a healthcare professional and their mentor. 13,14,15 One of the aims of patient feedback is to ensure that health services are ''patient centered'' in terms of respect, choice, and empowerment; patient involvement in health policy, access, and support; and information provided.…”

Section: Introductionmentioning

confidence: 99%

The Reliability of Big “Patient Satisfaction” Data

Narayanan

Greco²,

Powell³

et al. 2013

Big Data

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Big data in healthcare can bring significant clinical and cost benefits. Of equal but often overlooked importance is the role of patient satisfaction data in improving the quality of healthcare service and treatment, where satisfaction is measured through feedback by patients on their meetings with medical specialists and experts. One of the major problems in analyzing patient feedback data is the nonstandard research designs often used for gathering such data: the designs can be uncrossed, unbalanced, and fully nested. Traditional measures of data reliability are more difficult to calculate for such data. Also, patient data can contain significant proportions of missing values that further complicate the calculation of reliability. This paper describes a reliability approach that is robust in the face of nonstandard research designs and missing values for use with large-scale patient survey data. The dataset contains nearly 85,000 patient responses to over 2,000 healthcare practitioners in five different subtypes over a 15-year period in the United Kingdom. Reliability measures are calculated to provide benchmarks involving minimum numbers of patients and practitioners for deeper drill-down analysis. The paper concludes with a demonstration of how regression models generated from big patient feedback data can be assessed in terms of reliability at the total data level as well as drill-down levels.

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“…The recipient's perspective has long been considered a fundamental component of care delivery and evaluation (French, 2003; FrÖjd, Swenne, The extent to which an individual can obtain healthcare services. Information and education Access to and provision of truthful information and education designed to facilitate autonomy, self-care and promotion.…”

Section: Methods Designmentioning

confidence: 99%