FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313248885> ?p ?o ?g. }

• W4313248885 abstract "Despite the negative impact of unsafe abortions on women's health and rights, the degree of abortion safety remains strikingly undocumented for a large share of abortions globally. Data on how women induce abortions (method, setting, provider) are central to the measurement of abortion safety. However, health-facility statistics and direct questioning in population surveys do not yield representative data on abortion care seeking pathways in settings where access to abortion services is highly restricted. Recent developments in survey methodologies to study stigmatized / illegal behaviour and hidden populations rely on the fact that such information circulates within social networks; however, such efforts have yet to give convincing results for unsafe abortions.This article presents the protocol of a study whose purpose is to apply and develop further two network-based methods to contribute to the generation of reliable population-level information on the safety of abortions in contexts where access to legal abortion services is highly restricted.This study plans to obtain population-level data on abortion care seeking in two Health and Demographic Surveillance Systems in urban Kenya and rural Burkina Faso by applying two methods: Anonymous Third-Party Reporting (ATPR) (also known as confidantes' method) and Respondent Driven Sampling (RDS). We will conduct a mixed methods formative study to determine whether these network-based approaches are pertinent in the study contexts. The ATPR will be refined notably by incorporating elements of the Network Scale-Up Method (NSUM) to correct or account for certain of its biases (transmission, barrier, social desirability, selection). The RDS will provide reliable alternative estimates of abortion safety if large samples and equilibrium can be reached; an RDS multiplex variant (also including social referents) will be tested.This study aims at documenting abortion safety in two local sites using ATPR and RDS. If successful, it will provide data on the safety profiles of abortion seekers across sociodemographic categories in two contrasted settings in sub-Saharan Africa. It will advance the formative research needed to determine whether ATPR and RDS are applicable or not in a given context. It will improve the questionnaire and correcting factors for the ATPR, improve the capacity of RDS to produce quasi-representative data on abortion safety, and advance the validation of both methods.Representative data on how women induce abortions and their consequences are central to measurements of abortion safety. However, due to the stigmatized nature of abortion, measuring the details of the process is challenging when the latter occur out of the realm of the law and do not result in complications registered in hospital statistics. Hence, there is sparse empirical population-level data on how women terminate their pregnancies in countries where access to abortion services is highly restricted, as well as little data on the side effects and complications associated with the methods they chose and health seeking for these complications. Recent developments in indirect survey methodologies to study stigmatized/illegal behaviour and hidden populations are likely to improve the quality of data collected on abortion safety in restrictive contexts: all are based on the sharing of information on stigmatized practices in social networks. We propose to refine and pilot two such network-based methods to validate their use for collecting (quasi) representative data on abortion safety in large population health surveys. These two approaches are: (i) a modified Anonymous Third-Party Reporting method (ATPR) integrating elements of the Network-Scale-up Method (NSUM) and (ii) Respondent-Driven Sampling (RDS). We will conduct this study in two African Health and Demographic Surveillance Systems (HDSS) sites, one urban (Nairobi, Kenya), and one comprising a town and adjacent villages (Kaya, Burkina Faso)." @default.
• W4313248885 created "2023-01-06" @default.
• W4313248885 creator A5004096695 @default.
• W4313248885 creator A5005531883 @default.
• W4313248885 creator A5006068521 @default.
• W4313248885 creator A5013198041 @default.
• W4313248885 creator A5014748991 @default.
• W4313248885 creator A5024943745 @default.
• W4313248885 creator A5040458881 @default.
• W4313248885 creator A5044267432 @default.
• W4313248885 creator A5051100741 @default.
• W4313248885 creator A5053803974 @default.
• W4313248885 creator A5060452088 @default.
• W4313248885 creator A5061764721 @default.
• W4313248885 creator A5062977125 @default.
• W4313248885 creator A5076931913 @default.
• W4313248885 creator A5086775365 @default.
• W4313248885 date "2022-12-27" @default.
• W4313248885 modified "2023-09-26" @default.
• W4313248885 title "Describing the safety of abortion at the population level using network-based survey approaches" @default.
• W4313248885 cites W1502668321 @default.
• W4313248885 cites W1516667940 @default.
• W4313248885 cites W1773255215 @default.
• W4313248885 cites W1942516547 @default.
• W4313248885 cites W1969543834 @default.
• W4313248885 cites W1976096657 @default.
• W4313248885 cites W1977262854 @default.
• W4313248885 cites W1977765995 @default.
• W4313248885 cites W1983061498 @default.
• W4313248885 cites W1984811432 @default.
• W4313248885 cites W1985477186 @default.
• W4313248885 cites W1991765344 @default.
• W4313248885 cites W1993543712 @default.
• W4313248885 cites W2036954961 @default.
• W4313248885 cites W2040225890 @default.
• W4313248885 cites W2061109210 @default.
• W4313248885 cites W2072799430 @default.
• W4313248885 cites W2091353503 @default.
• W4313248885 cites W2092548316 @default.
• W4313248885 cites W2092621927 @default.
• W4313248885 cites W2096144234 @default.
• W4313248885 cites W2103629342 @default.
• W4313248885 cites W2103819798 @default.
• W4313248885 cites W2113618075 @default.
• W4313248885 cites W2141288445 @default.
• W4313248885 cites W2144017580 @default.
• W4313248885 cites W2155625317 @default.
• W4313248885 cites W2164713644 @default.
• W4313248885 cites W2169032724 @default.
• W4313248885 cites W2277885973 @default.
• W4313248885 cites W2295187845 @default.
• W4313248885 cites W2308135293 @default.
• W4313248885 cites W2756784389 @default.
• W4313248885 cites W2763394131 @default.
• W4313248885 cites W2766595291 @default.
• W4313248885 cites W2809554587 @default.
• W4313248885 cites W2947010083 @default.
• W4313248885 cites W2965947353 @default.
• W4313248885 cites W3014448506 @default.
• W4313248885 cites W3015424619 @default.
• W4313248885 cites W3089665039 @default.
• W4313248885 cites W3093121262 @default.
• W4313248885 cites W3113038459 @default.
• W4313248885 cites W3166537965 @default.
• W4313248885 cites W3214302723 @default.
• W4313248885 cites W2068001256 @default.
• W4313248885 doi "https://doi.org/10.1186/s12978-022-01518-3" @default.
• W4313248885 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36575489" @default.
• W4313248885 hasPublicationYear "2022" @default.
• W4313248885 type Work @default.
• W4313248885 citedByCount "0" @default.
• W4313248885 crossrefType "journal-article" @default.
• W4313248885 hasAuthorship W4313248885A5004096695 @default.
• W4313248885 hasAuthorship W4313248885A5005531883 @default.
• W4313248885 hasAuthorship W4313248885A5006068521 @default.
• W4313248885 hasAuthorship W4313248885A5013198041 @default.
• W4313248885 hasAuthorship W4313248885A5014748991 @default.
• W4313248885 hasAuthorship W4313248885A5024943745 @default.
• W4313248885 hasAuthorship W4313248885A5040458881 @default.
• W4313248885 hasAuthorship W4313248885A5044267432 @default.
• W4313248885 hasAuthorship W4313248885A5051100741 @default.
• W4313248885 hasAuthorship W4313248885A5053803974 @default.
• W4313248885 hasAuthorship W4313248885A5060452088 @default.
• W4313248885 hasAuthorship W4313248885A5061764721 @default.
• W4313248885 hasAuthorship W4313248885A5062977125 @default.
• W4313248885 hasAuthorship W4313248885A5076931913 @default.
• W4313248885 hasAuthorship W4313248885A5086775365 @default.
• W4313248885 hasBestOaLocation W43132488851 @default.
• W4313248885 hasConcept C144133560 @default.
• W4313248885 hasConcept C17744445 @default.
• W4313248885 hasConcept C199539241 @default.
• W4313248885 hasConcept C2776640315 @default.
• W4313248885 hasConcept C2778079182 @default.
• W4313248885 hasConcept C2778642596 @default.
• W4313248885 hasConcept C2779076696 @default.
• W4313248885 hasConcept C2779234561 @default.
• W4313248885 hasConcept C2908647359 @default.
• W4313248885 hasConcept C2986817661 @default.
• W4313248885 hasConcept C54355233 @default.
• W4313248885 hasConcept C71924100 @default.

• next