Assessment of Patient Expectations for Care

2005 ◽  
Vol 19 (3) ◽  
pp. 275-285 ◽  
Author(s):  
Richard W. Redman ◽  
Mary R. Lynn

This research identified patients’ expectations for their hospitalization and immediate, posthospitalization outcomes of care. Patients’ expectations for care are integral to tailoring care to meet needs. Little investigation of patients’ overall expectations for hospitalization exists and standardized instruments to measure them are unavailable. Qualitative analyses of 20 interviews yielded 105 data bits, subsequently rated by a second sample of 18 patients. Eight themes and 70 items resulted. Several expectations are distinct from items typical in patient satisfaction instruments. Assessment of patient expectations offers insights to what they value and expect during hospitalization and provides an important foundation for assessing patients’ experiences, based on their expectations. Such assessment ultimately contributes to the goal of assessing patient-centered care.

JAMA ◽  
2012 ◽  
Vol 308 (2) ◽  
pp. 139 ◽  
Author(s):  
Joel M. Kupfer ◽  
Edward U. Bond

2008 ◽  
Vol 23 (4) ◽  
pp. 316-321 ◽  
Author(s):  
Debra M. Wolf ◽  
Lisa Lehman ◽  
Robert Quinlin ◽  
Thomas Zullo ◽  
Leslie Hoffman

2018 ◽  
Vol 33 (2) ◽  
pp. e464-e473 ◽  
Author(s):  
Mu'taman Jarrar ◽  
Hamzah Abdul Rahman ◽  
Mohd Sobri Minai ◽  
Mahdi S. AbuMadini ◽  
Mercy Larbi

10.2196/17577 ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. e17577
Author(s):  
Courtenay Bruce ◽  
Patricia Harrison ◽  
Charlie Giammattei ◽  
Shetal-Nicholas Desai ◽  
Joshua R Sol ◽  
...  

Several recently published studies and consensus statements have demonstrated that there is only modest (and in many cases, low-quality) evidence that mobile health (mHealth) can improve patient clinical outcomes such as the length of stay or reduction of readmissions. There is also uncertainty as to whether mHealth can improve patient-centered outcomes such as patient engagement or patient satisfaction. One principal challenge behind the “effectiveness” research in this field is a lack of common understanding about what it means to be effective in the digital space (ie, what should constitute a relevant outcome and how best to measure it). In this viewpoint, we call for interdisciplinary, conceptual clarity on the definitions, methodologies, and patient-centered outcomes frequently used in mHealth research. To formulate our recommendations, we used a snowballing approach to identify relevant definitions, outcomes, and methodologies related to mHealth. To begin, we drew heavily upon previously published detailed frameworks that enumerate definitions and measurements of engagement. We built upon these frameworks by extracting other relevant measures of patient-centered care, such as patient satisfaction, patient experience, and patient activation. We describe several definitional inconsistencies for key constructs in the mHealth literature. In an effort to achieve clarity, we tease apart several patient-centered care outcomes, and outline methodologies appropriate to measure each of these patient-care outcomes. By creating a common pathway linking definitions with outcomes and methodologies, we provide a possible interdisciplinary approach to evaluating mHealth technologies. With the broader goal of creating an interdisciplinary approach, we also provide several recommendations that we believe can advance mHealth research and implementation.


2017 ◽  
Vol 27 ◽  
pp. S816
Author(s):  
E. Salagre ◽  
J.M. Garrido ◽  
J. Sanchez-Moreno ◽  
M. Vazquez ◽  
D. Hidalgo-Mazzei ◽  
...  

2020 ◽  
Vol 7 (6) ◽  
pp. 1724-1731 ◽  
Author(s):  
Carlos El-Haddad ◽  
Iman Hegazi ◽  
Wendy Hu

Understanding and measuring patient expectations of health care is central to improving patient satisfaction and delivering patient-centered care. However, most empiric research in this field has focused on measuring patient expectations for specific diseases only. Patient expectations common to a variety of settings and clinical contexts need to be better understood to design measures with wider utility. We aimed to understand how patients express and conceptualize their expectations of health care across a range of clinical contexts and conditions. Semi-structured interviews were conducted with patients presenting to a major metropolitan hospital, informed by interpretive phenomenological analysis. Sampling continued until thematic saturation. Interview topics explored the illness experience, interactions with clinicians, how patients communicated and conceptualized their expectations of health care, and the nature of these expectations. The 26 participants conceptualized and described their expectations in 3 distinct domains: (1) health outcomes, (2) individual clinicians, and (3) the health-care system. Importantly, these domains were consistent across a variety of clinical contexts, participant demographics, and medical conditions. Despite variation in expectations due to individual patient circumstances, we identified 3 conceptual domains within which expectations consistently lie. When designing measurement tools for patient expectations, we suggest incorporating questions specifically addressing the 3 domains we have identified. With such measures, clinicians and health-care providers can be empowered to provide and monitor patient-centered care with outcomes tailored to what patients desire.


2015 ◽  
Vol 31 (1) ◽  
pp. 11-25 ◽  
Author(s):  
Renato Santos de Almeida ◽  
Stephane Bourliataux-Lajoinie ◽  
Mônica Martins

Patient satisfaction surveys can be an interesting way to improve quality and discuss the concept of patient-centered care. This study aimed to conduct a systematic review of the validated patient satisfaction measurement instruments applied in healthcare. The systematic review searched the MEDLINE/PubMed, LILACS, SciELO, Scopus and Web of Knowledge. The search strategy used the terms: "Patient Satisfaction" AND "Patient centered care" AND "Healthcare survey OR Satisfaction questionnaire" AND "Psychometric properties". 37 studies were included and almost all studies showed that satisfaction is a multidimensional construct. In these studies, 34 different instruments were used and most surveys contained the dimension patient-healthcare professional interactions, physical environment and management process. The COSMIN score for methodological quality showed that most of them scored a good or fair average. We can conclude that there is not a gold standard instrument for patient satisfaction assessment but some dimensions are essential for this construct.


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