How the coronavirus disease 2019 pandemic is impacting sexual and reproductive health and rights and response: Results from a global survey of providers, researchers, and policy‐makers
Bibliographic record
Abstract
INTRODUCTION: We aimed to give a global overview of trends in access to sexual and reproductive health and rights (SRHR) during the coronavirus disease 2019 (COVID-19) pandemic and what is being done to mitigate its impact. MATERIAL AND METHODS: We performed a descriptive analysis and content analysis based on an online survey among clinicians, researchers, and organizations. Our data were extracted from multiple-choice questions on access to SRHR services and risk of SRHR violations, and written responses to open-ended questions on threats to access and required response. RESULTS: The survey was answered by 51 people representing 29 countries. Eighty-six percent reported that access to contraceptive services was less or much less because of COVID-19, corresponding figures for surgical and medical abortion were 62% and 46%. The increased risk of gender-based and sexual violence was assessed as moderate or severe by 79%. Among countries with mildly restrictive abortion policies, 69% had implemented changes to facilitate access to abortion during the pandemic, compared with none among countries with severe restrictions (P < .001), 87.5% compared with 46% had implemented changes to facilitate access to contraception (P = .023). The content analysis showed that (a) prioritizations in health service delivery at the expense of SRHR, (b) lack of political will, (c) the detrimental effect of lockdown, and (d) the suspension of sexual education, were threats to SRHR access (theme 1). Requirements to mitigate these threats (theme 2) were (a) political will and support of universal access to SRH services, (b) the sensitization of providers, (c) free public transport, and (d) physical protective equipment. A contrasting third theme was the state of exception of the COVID-19 pandemic as a window of opportunity to push forward women's health and rights. CONCLUSIONS: Many countries have seen decreased access to and increased violations of SRHR during the COVID-19 pandemic. Countries with severe restrictions on abortion seem less likely to have implemented changes to SRHR delivery to mitigate this impact. Political will to support the advancement of SRHR is often lacking, which is fundamental to ensuring both continued access and, in a minority of cases, the solidification of gains made to SRHR during the pandemic.
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 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 | 0.008 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".