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Record W4362458714 · doi:10.11124/jbies-22-00270

Experience of loneliness and depression due to spousal separation in long-term care residents and their spouses: a qualitative systematic review protocol

2023· article· en· W4362458714 on OpenAlexaff
Madison Robertson, Erika E. Petersen, Amanda Ross‐White, Rylan Egan

Bibliographic record

VenueJBI Evidence Synthesis · 2023
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsQueen's University
Fundersnot available
KeywordsLonelinessCINAHLPsycINFOCritical appraisalMEDLINESpouseMedicineSocial isolationData extractionPsychiatryDepression (economics)Mental healthGerontologyClinical psychologyPsychologyPsychological interventionAlternative medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: The objective of this review is to describe the experience of loneliness and/or depression due to spousal separation when one or both spouses are admitted into a long-term care facility. INTRODUCTION: Loneliness and depression are important concerns for the health and well-being of older adults separated from their spouses due to long-term care placement. Social relationships, specifically spousal relationships, have a significant impact on the mental health of older adults. However, there is limited research on the experience or effect of spousal separation on long-term care residents' and their spouses' experience of loneliness and/or depression. INCLUSION CRITERIA: This review will include long-term care residents and their spouses who are over the age of 50 and have a spouse they are separated from due to long-term care placement. Studies will be included in this review if they explore the experiences of loneliness and/or depression due to spousal separation with one or both spouses living in a long-term care facility. METHODS: This review will be conducted in line with the JBI methodology for systematic reviews of qualitative evidence. MEDLINE was used for the initial search. A full search strategy was then developed for MEDLINE, CINAHL, Embase, and PsycINFO. The JBI approach to study selection, critical appraisal, data extraction, data synthesis, and assessment of confidence will be used. Two reviewers will pilot test the screening criteria and data extraction protocol. REVIEW REGISTRATION: PROSPERO CRD42022333014.

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)0.002
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.176
Threshold uncertainty score0.816

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.052
GPT teacher head0.494
Teacher spread0.442 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreEmpirical

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

Citations2
Published2023
Admission routes1
Has abstractyes

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