Research assessing consumer satisfaction with mental health treatment: A review of findings

Lebow, Jay L.

doi:10.1016/0149-7189(83)90003-4

Cited by 214 publications

(138 citation statements)

References 164 publications

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“…Also, this finding is consistent with the results of several studies in which treatment outcomes were identified as contributing to patient satisfaction. 29,30 However, treatment outcome is one of the less frequently measured variables associated with patient satisfaction. 26 Instruments to measure patient satisfaction with patient care usually include attributes such as admission, house staff, food services, other miscellaneous services, and health providers' behavior.…”

Section: Discussionmentioning

confidence: 99%

Decision Support for Patient Preference-based Care Planning: Effects on Nursing Care and Patient Outcomes

Ruland

1999

Journal of the American Medical Informatics Association

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A b s t r a c t Objective:While preference elicitation techniques have been effective in helping patients make decisions consistent with their preferences, little is known about whether information about patient preferences affects clinicians in clinical decision making and improves patient outcomes. The purpose of this study was to evaluate a decision support system for eliciting elderly patients' preferences for self-care capability and providing this information to nurses in clinical practice-specifically, its effect on nurses' care priorities and the patient outcomes of preference achievement and patient satisfaction.Design: Three-group quasi-experimental design with one experimental and two control groups (N = 151). In the experimental group computer-processed information about individual patient's preferences was placed in patients' charts to be used for care planning.Results: Information about patient preferences changed nurses' care priorities to be more consistent with patient preferences and improved patients' preference achievement and physical functioning. Further, higher consistency between patient preferences and nurses' care priorities was associated with higher preference achievement, and higher preference achievement with greater patient satisfaction. Conclusion:This study demonstrated that decision support for eliciting patient preferences and including them in nursing care planning is an effective and feasible strategy for improving nursing care and patient outcomes. 1,2 Studies of preferences for treatment of patients and health care professionals found that patient preferences are generally hard to predict.3-5 Also, it has been demonstrated that clinical outcomes perceived as excellent by health care professionals are not necessarily experienced in the same way by patients. 6,7 Recent literature has focused on the importance of including patient preferences in decisions regarding their care. 1,8,9 Also, there is increased emphasis on shared decision making between health care providers and patients, and on their working collaboratively to select the best care decisions.1,10 This research emphasizes that judgments about the right care decisions 305from the perspective of patients cannot be made without including patients' own perspectives about their perceived health care needs and preferences for health outcomes. Thus, a critical component for providing patient-centered care is to systematically elicit patients' perspectives of their health problems and preferences for outcomes, and include patient preferences in patient care to increase congruence between preferences and outcomes. This paper presents a study that tested the effect of eliciting elderly patients' preferences for self-care capability and providing this information to nurses in clinical practice on nurses' care priorities and the patient outcomes of preference achievement and patient satisfaction.

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Section: Discussionmentioning

confidence: 99%

Decision Support for Patient Preference-based Care Planning: Effects on Nursing Care and Patient Outcomes

Ruland

1999

Journal of the American Medical Informatics Association

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“…Asking service users to provide ratings usually involves individuals who volunteer to do so. However, research suggests that volunteer participants are oftentimes biased in terms of being overly positive or overly negative about the evaluand (Lebow, 1983;Nguyen, Atkisson, & Stegner, 1983). Even in a representative sample, factors beyond the program characteristics themselves are known to affect the variability of such assessments (Teague, 2000).…”

Section: Issues In Measuring Fidelitymentioning

confidence: 99%

Fidelity Criteria: Development, Measurement, and Validation

Mowbray

Holter²,

Teague³

et al. 2003

American Journal of Evaluation

652

476

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Fidelity may be defined as the extent to which delivery of an intervention adheres to the protocol or program model originally developed. Fidelity measurement has increasing significance for evaluation, treatment effectiveness research, and service administration. Yet few published studies using fidelity criteria provide details on the construction of a valid fidelity index. The purpose of this review article is to outline steps in the development, measurement, and validation of fidelity criteria, providing examples from health and education literatures. We further identify important issues in conducting each step. Finally, we raise questions about the dynamic nature of fidelity criteria, appropriate validation and statistical analysis methods, the inclusion of structure and process criteria in fidelity assessment, and the role of program theory in deciding on the balance between adaptation versus exact replication of model programs. Further attention to the use and refinement of fidelity criteria is important to evaluation practice.

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“…Für die Entwicklung des WPI wurden zuerst anhand einer umfassenden Analyse der wissenschaftlichen Literatur potentielle Determinanten von Zufriedenheit mit psychiatrischer Behandlung identifiziert [8,[22][23][24][25][26][27][28]. Eine Inhaltsanalyse dieser empirischen und theoretischen Arbeiten zur Patientenzufriedenheit, die zum größten Teil aus dem US-amerikanischen Raum stammen, resultierte in 10 möglichen Dimensionen der Patientenzufriedenheit: Zugang zur Behandlung, Kompetenz des Personals, Wirksamkeit der Behandlung, Stationsablauf, Stationsausstattung, PersonalPatient-Beziehung, Behandlungsinterventionen, Information und Aufklärung über die Erkrankung, Psychosoziale Unterstützung und Kontinuität der Bezugsperson.…”

Section: Pilotversion Des Fragebogens Zur Patientenzufriedenheitunclassified

Das Wiener Patientenzufriedenheitsinventar (WPI) Entwicklung eines Messinstruments zur Patientenzufriedenheit für ambulantpsychiatrische Einrichtungen

Berghofer

Schmidl

Rudas

2006

Wien Med Wochenschr

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Research assessing consumer satisfaction with mental health treatment: A review of findings

Cited by 214 publications

References 164 publications

Decision Support for Patient Preference-based Care Planning: Effects on Nursing Care and Patient Outcomes

Decision Support for Patient Preference-based Care Planning: Effects on Nursing Care and Patient Outcomes

Fidelity Criteria: Development, Measurement, and Validation

Das Wiener Patientenzufriedenheitsinventar (WPI) Entwicklung eines Messinstruments zur Patientenzufriedenheit für ambulantpsychiatrische Einrichtungen

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