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Record W4389574049 · doi:10.3390/healthcare11243130

A Scoping Review of Adult Inpatient Satisfaction with Mental Health Services

2023· review· en· W4389574049 on OpenAlexafffund
Hossam Eldin Elgendy, Reham Shalaby, Ernest Owusu, Nnamdi Nkire, Vincent I. O. Agyapong, Yifeng Wei

Bibliographic record

VenueHealthcare · 2023
Typereview
Languageen
FieldHealth Professions
TopicPatient Satisfaction in Healthcare
Canadian institutionsDalhousie UniversityAlberta Health ServicesUniversity of Alberta
FundersAlberta InnovatesAlberta Innovates - Technology Futures
KeywordsMental healthPatient satisfactionPsychologyMedicineNursingPsychiatry

Abstract

fetched live from OpenAlex

Patient satisfaction with hospital services has been increasingly discussed as an important indicator of healthcare quality. It has been demonstrated that improving patient satisfaction is associated with better compliance with treatment plans and a decrease in patient complaints regarding doctors' and nurses' misconduct. This scoping review's objective is to investigate the pertinent literature on the experiences and satisfaction of patients with mental disorders receiving inpatient psychiatric care. Our goals are to highlight important ideas and explore the data that might serve as a guide to enhance the standard of treatment and patient satisfaction in acute mental health environments. This study is a scoping review that was designed in adherence with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) statement. A systematic search was conducted in the following databases: PubMed, MEDLINE, PsycINFO, CINAHL, and EMBASE. A comprehensive review was completed, including articles from January 2012 to June 2022. Qualitative and quantitative studies were included in this review based on our eligibility criteria, such as patient satisfaction as a primary outcome, adult psychiatric inpatients, and non-review studies published in the English language. Studies were considered ineligible if they included nonpsychiatric patients or patients with neurocognitive disorders, review studies, or study measure outcomes other than inpatient satisfaction. For the eligible studies, data extraction was conducted, information was summarized, and the findings were reported. A total of 31 studies representing almost all the world's continents were eligible for inclusion in this scoping review. Different assessment tools and instruments were used in the included studies to measure the level of patients' satisfaction. The majority of the studies either utilized a pre-existing or newly created inpatient satisfaction questionnaire that appeared to be reliable and of acceptable quality. This review has identified a variety of possible factors that affect patients' satisfaction and can be used as a guide for service improvement. More than half of the included studies revealed that the following factors were strongly recommended to enhance inpatient satisfaction with care: a clear discharge plan, less coercive treatment during the hospital stay, more individualized, higher quality information and teaching about the mental disorder to patients by staff, better therapeutic relationships with staff, and specific treatment components that patients enjoy, such as physical exercise sessions and music therapy. Patients also value staff who spend more time with them. The scope of patient satisfaction with inpatient mental health services is a growing source of concern. Patient satisfaction is associated with better adherence to treatment regimens and fewer complaints against health care professionals. This scoping review has identified several patient satisfaction research gaps as well as important determinants of satisfaction and how to measure and utilize patient satisfaction as a guide for service quality improvement. It would be useful for future research and reviews to consider broadening their scope to include the satisfaction of psychiatric patients with innovative services, like peer support groups and other technologically based interventions like text for support. Future research also could benefit from utilizing additional technological tools, such as electronic questionnaires.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.252
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.173
GPT teacher head0.528
Teacher spread0.355 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations16
Published2023
Admission routes2
Has abstractyes

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