Evaluations of postoperative transitions in care for older adults: a scoping review
Bibliographic record
Abstract
BACKGROUND: Most people having major surgery are over the age of 65. The transition out of hospital is a vulnerable time for older adults, particularly after major surgery. Research on postoperative transitions in care is growing, but it is not clear how postoperative transitions are being evaluated. The objective of this scoping review was to synthesize processes and outcomes used to evaluate postoperative transitions in care for older adults. METHODS: We conducted a scoping review that included articles evaluating a postoperative transition in care among adults aged > 65 having major elective surgery. We searched Medline (Ovid), EMBASE (Ovid), CINHAL, and Cochrane Central Register of Controlled Trials (CENTRAL) from their respective inception dates to April 6, 2021. We also searched The World Health Organization International Clinical Trials Registry Platform and ClinicalTrials.gov from their respective inception dates to April 6, 2021. Screening and data extraction was completed by reviewers in duplicate. Data relevant to study design and objective, intervention description, and process or outcome evaluations were extracted. Process evaluations were categorized using the Ideal Transitions in Care Framework, and outcome evaluations were categorized using the Institute for Healthcare Improvement Triple Aim Framework. RESULTS: After screening titles and abstracts and full-text article review, we included 20 articles in our final synthesis. There was variability in the processes and outcomes used to evaluate postoperative transitions in care. The most common outcomes evaluated were health service utilization (n = 9), including readmission and Emergency Department visits, experiential outcomes (n = 9) and quality of life (n = 7). Process evaluations included evaluating the education provided to patients to promote self-management (n = 6), coordination of care among team members (n = 3) and outpatient follow-up (n = 3). Only two articles measured frailty, one article used theory to guide their evaluations and no articles engaged knowledge users. CONCLUSIONS: There is inconsistency in how postoperative transitions in care were evaluated. There is a need to use theories and to engage key stakeholders involved in postoperative transitions in care, including older adults and their caregivers, to identify the most appropriate approaches for developing and evaluating interventions to meaningfully improve care.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".