Abstract

ABSTRACTBackground:Quality measurements are crucial to healthcare quality improvement, and patient satisfaction with nursing care is widely adopted as a key outcome indicator of the overall quality of healthcare. There is a lack of instruments to measure patient satisfaction with nursing care in an Arabic context.Purpose:The purpose of this study was to develop and validate an Arabic version of the Patient Satisfaction with Nursing Care Quality Questionnaire and to explore patient satisfaction with nursing care across hospital units.Methods:This was a cross-sectional, methodological research study. A forward–backward translation process and face and content validation using a panel of experts and a pilot test were used to produce an Arabic version of the Patient Satisfaction with Nursing Care Quality Questionnaire. A convenience sampling technique was employed to recruit 292 adult patients who were hospitalized for more than 48 hours. Data were collected over the first quarter of 2016 using a secure electronic survey method.Results:The item-level content validity index ranged from .83 to 1, and the scale-level content validity index was .94. Evidence of construct validity was obtained. Exploratory factor analysis revealed a two-factor model that explained 69.3% of the total variance. Confirmatory factor analysis showed that the two-factor model fits the observed data. Internal consistency was satisfactory and similar across different hospital units. Cronbach’s alpha estimates for Factors 1 and 2 were .83 and .96, respectively, with an overall Cronbach’s alpha estimate of .96. Level of patient satisfaction with nursing care was quite high (mean = 4.30/5, SD = 0.74).Conclusions:This study provides a 17-item, Likert-scaled, self-reporting instrument, which is psychometrically sound for its content, comprehension, readability, and practicality, to measure patient satisfaction with nursing care quality in an Arabic context.

Highlights

  • Over the last two decades, increased attention has been paid on quantifying and improving quality of care

  • This study provides a 17-item, Likert-scaled, self-reporting instrument, which is psychometrically sound for its content, comprehension, readability, and practicality, to measure patient satisfaction with nursing care quality in an Arabic context

  • Results of the confirmatory factor analysis (CFA) showed that the one-factor model had a poor data fit, with 22/df = 4.56, TuckerYLewis Index (TLI) = .86, comparative fit index (CFI) = .89, and root mean square error of approximation (RMSEA) = .11, whereas the two-factor model had relatively adequate data fit, with 22/df = 3.90, TLI = .90, CFI = .91, and almost acceptable RMSEA =

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Summary

Introduction

Over the last two decades, increased attention has been paid on quantifying and improving quality of care. Measuring nursing care quality has been recognized as a priority for healthcare providers and policymakers. There are two critical factors indicating the need to measure nursing care quality. Nurses represent the largest segment of healthcare professionals, and measuring nursing care quality is critical to improving practice (Freitas, Silva, Minamisava, Bezerra, & de Sousa, 2014). Patient satisfaction with nursing care (PSNC) is considered a principal outcome indicator of quality of care (Laschinger, Hall, Pedersen, & Almost, 2005), and it is seen as an important aspect for evaluating and improving overall healthcare (Dudkiewicz, 2014; Koy, Yunibhand, & Angsuroch, 2016). Quality measurements are crucial to healthcare quality improvement, and patient satisfaction with nursing care is widely adopted as a key outcome indicator of the overall quality of healthcare. Purpose: The purpose of this study was to develop and validate an Arabic version of the Patient Satisfaction with Nursing Care Quality Questionnaire and to explore patient satisfaction with nursing care across hospital units

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