An Evaluation of the Impact of Nonresponse Bias on Patient Satisfaction Surveys

Lasek, Raymond J.; Barkley, William M.; Harper, Dwain L.; Rosenthal, Gary E.

doi:10.1097/00005650-199706000-00009

Cited by 120 publications

(84 citation statements)

References 17 publications

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“…However, research looking at possible non-response bias suggests differences are likely to be small and are affected by the dimension of satisfaction being assessed. 20 It is of note that our survey excluded patients from specific demographic groups (eg, Indigenous patients, patients aged less than 16 years) and those with specific clinical characteristics (eg, mental health or renal dialysis patients) a priori. This was to enable the development of surveys and methodologies tailored to the specific requirements of these "special" patient groups.…”

Section: Discussionmentioning

confidence: 99%

Assessing patient satisfaction: implications for South Australian public hospitals

Hordacre

Taylor

Pirone

et al. 2005

Aust. Health Review

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This paper reports on the results from 2620 South Australians who participated in the 2003 Patient Evaluation of Hospital Services. Patients were found to be generally satisfied with the care, services and amenities provided, with a statewide overall score of 86.3. Satisfaction was lowest in the patients' assessment of their involvement in their own care and treatment. Three demographic factors (younger age, female sex or tertiary education) predicted lower levels of satisfaction in the multivariate analysis, whereas living with others, non-emergency admission or admission to smaller hospitals were found to predict higher satisfaction. Despite administrative and organisational difficulties, and limited current evidence of increased quality or satisfaction, it is considered important to continue satisfaction research with the goal of encouraging the development of action plans for improvement of care, services and amenities.

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Section: Discussionmentioning

confidence: 99%

Assessing patient satisfaction: implications for South Australian public hospitals

Hordacre

Taylor

Pirone

et al. 2005

Aust. Health Review

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“…Summaries of these articles are presented in alphabetical order of first author in Table 9. Eleven of these studies [148][149][150][151][152][153][154][155][156][157] allowed for the effect of potentially confounding sociodemographic factors in the analysis.…”

Section: Evidence On Modes and Response Ratesmentioning

confidence: 99%

“…The characteristics of survey respondents and nonrespondents have been specifically investigated by two studies. 153,157 Collectively, they suggest that non-respondents are more likely to be non-white, less well educated and uninsured (in the USA), and that the views of such groups are accordingly under-represented. The problems of obtaining useable responses from certain sections of the hospital population are illustrated by two investigations that found elderly, severely ill, cognitively impaired and immigrant patients with language difficulties unable to participate.…”

Section: Low Response Biasmentioning

confidence: 99%

The measurement of satisfaction with healthcare: implications for practice from a systematic review of the literature

Crow

Gage

Hampson

et al. 2002

Health Technol Assess

918

1,020

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“…Measures of satisfaction are, therefore, important tools for research, administration and planning. Patient satisfaction can also be used to evaluate the process of health care (Carey & Seibert, 1993;Etter, Perneger, & Rougemont, 1996;Fitzpatrick, 1991a, b;Guadagnoli & Cleary, 1995;Kane, Maciejewski, & Finch, 1997;Lasek, Barkley, Harper, & Rosenthal, 1997;Linn et al, 1995;Ross, Steward, & Sinacore, 1995;Williams, 1994), as greater satisfaction may be related with superior compliance, improved attendance at return visits and better outcomes (Cleary, Keroy, Karapanos, & McMullen, 1989).…”

Section: Hospital Services and Patient Satisfactionmentioning

confidence: 99%

Factors Determining Inpatient Satisfaction with Hospital Care in Bangladesh

Ashrafun¹,

Uddin²

2011

ASS

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The objective of this study is to identify factors associated with satisfaction among inpatients receiving medical and surgical care for urinary, cardiovascular, respiratory, and ophthalmology diseases at Dhaka Government Medical College Hospital, Bangladesh. The data of this study is collected from 190 inpatients by using a patient judgments questionnaire covering 10 dimensions of satisfaction (appointment waiting time for doctor after admission, doctor's treatment and behavior, behavior and services of nurses, boys and ayas (-care givers-), toilet and bath room condition, quality of food, number of days in the hospital, cost for treatment, and gift/tips culture in the hospital). Patient overall level of satisfaction is treated as dependent variable, while dimensions of satisfaction are each treated as independent variables. Additionally, inpatients' socio-economic characteristics such as education, occupation and monthly family income are used as independent variables. OLS regression models are used to identify key factors connected with inpatients satisfaction. The level of significance for variables retain in the regression models is set at 0.05. The final regression model is significant with F-value of 73.673 (p<0.001) and can explain 80.8% of the variation in the dependent variable as it is indicated by the R-Square. The nested model F-test suggests that inpatients' monthly family income and levels of education have significant effect on the dependent variable.

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An Evaluation of the Impact of Nonresponse Bias on Patient Satisfaction Surveys

Cited by 120 publications

References 17 publications

Assessing patient satisfaction: implications for South Australian public hospitals

Assessing patient satisfaction: implications for South Australian public hospitals

The measurement of satisfaction with healthcare: implications for practice from a systematic review of the literature

Factors Determining Inpatient Satisfaction with Hospital Care in Bangladesh

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