The Impact of the COVID-19 Pandemic on Perinatal Loss Experienced by the Parental Couple: Protocol for a Mixed Methods Study
Bibliographic record
Abstract
BACKGROUND: At the beginning of 2020, mothers and fathers who experienced perinatal events (from conception to pregnancy and postpartum period) found themselves facing problems related to the emergency caused by the COVID-19 pandemic and the associated difficulties for health care centers in providing care. In the unexpected and negative event of perinatal loss (ie, miscarriage, stillbirth, and neonatal death) more complications occurred. Perinatal loss is a painful and traumatic life experience that causes grief and can cause affective disorders in the parental couple-the baby dies and the couple's plans for a family are abruptly interrupted. During the COVID-19 pandemic, limited access to perinatal bereavement care, due to the lockdown measures imposed on medical health care centers and the social distancing rules to prevent contagion, was an additional risk factor for parental mental health, such as facing a prolonged and complicated grief. OBJECTIVE: The main aims of this study are as follows: to investigate the impact of COVID-19 on mothers and fathers who experienced perinatal loss during the pandemic, comparing their perceptions; to evaluate their change over time between the first survey administration after bereavement and the second survey after 6 months; to examine the correlations between bereavement and anxiety, depression, couple satisfaction, spirituality, and sociodemographic variables; to investigate which psychosocial factors may negatively affect the mourning process; and to identify the potential predictors of the development of complicated grief. METHODS: This longitudinal observational multicenter study is structured according to a mixed methods design, with a quantitative and qualitative section. It will include a sample of parents (mothers and fathers) who experienced perinatal loss during the COVID-19 pandemic from March 2020. There are two phases-a baseline and a follow-up after 6 months. RESULTS: This protocol was approved by the Ethics Committee of Psychological Research, University of Padova, and by the Institutional Ethics Board of the Spedali Civili of Brescia, Italy. We expect to collect data from 34 or more couples, as determined by our sample size calculation. CONCLUSIONS: This study will contribute to the understanding of the psychological processes related to perinatal loss and bereavement care during the COVID-19 pandemic. It will provide information useful to prevent the risk of complicated grief and psychopathologies among bereaved parents and to promote perinatal mental health. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/38866.
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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 | 0.040 | 0.028 |
| Meta-epidemiology (narrow) | 0.004 | 0.003 |
| Meta-epidemiology (broad) | 0.006 | 0.004 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.037 | 0.007 |
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".