Early Interventions Following the Death of a Parent: Protocol of a Mixed Methods Systematic Review
Bibliographic record
Abstract
BACKGROUND: Previous meta-analyses examined the effectiveness of interventions for bereaved children showing small to moderate effect sizes. However, no mixed methods systematic review was conducted on bereavement interventions following the loss of a parent focusing on the time since death in regard to the prevention of grief complications. OBJECTIVE: The overall purpose of the review is to provide a rigorous synthesis of early intervention after parental death in childhood. Specifically, the aims are twofold: (1) to determine the rationales, contents, timeframes, and outcomes of early bereavement care interventions for children and/or their parents and (2) to assess the quality of current early intervention studies. METHODS: Quantitative, qualitative, and mixed methods intervention studies that start intervention with parentally bereaved children (and/or their parents) up to 6 months postloss will be included in the review. The search strategy was based on the Population, Interventions, Comparator, Outcomes, and Study Designs (PICOS) approach, and it was devised together with a university librarian. The literature searches will be carried out in the Medical Literature Analysis and Retrieval System Online (MEDLINE), PsycINFO, Excerpta Medica Database (EMBASE), and Cumulative Index to Nursing and Allied Health Literature (CINAHL). The Mixed Methods Appraisal Tool will be used to appraise the quality of eligible studies. All data will be narratively synthetized following the Guidance on the Conduct of Narrative Synthesis in Systematic Reviews. RESULTS: The systematic review is ongoing and the data search has started. The review is expected to be completed by the end of 2017. Findings will be submitted to leading journals for publication. CONCLUSIONS: In accordance with the current diagnostic criteria for prolonged grief as well as the users' perspectives literature, this systematic review outlines a possible sensitive period for early intervention following the death of a parent. The hereby presented protocol ensures the groundwork and transparency for the process of conducting the systematic review. TRIAL REGISTRATION: International Prospective Register of Systematic Reviews (PROSPERO) CRD42017064077; http://www.crd.york.ac.uk/PROSPERO/display_record.asp?ID=CRD42017064077 (Archived by WebCite at http://www.webcitation.org/6rMq6F0fv).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.142 | 0.142 |
| Meta-epidemiology (narrow) | 0.007 | 0.007 |
| Meta-epidemiology (broad) | 0.022 | 0.023 |
| Bibliometrics | 0.016 | 0.016 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.008 | 0.007 |
| Research integrity | 0.010 | 0.010 |
| Insufficient payload (model declined to judge) | 0.073 | 0.013 |
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 source (direct Gemma or distilled Codex), 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".