A framework to model global, regional, and national estimates of intimate partner violence (Record no. 7657)

MARC details
000 -LEADER
fixed length control field 03752nab a22003497a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250625151614.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220609s2022 xxu||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency AFVC
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Maheu-Giroux, Mathieu
9 (RLIN) 10741
245 ## - TITLE STATEMENT
Title A framework to model global, regional, and national estimates of intimate partner violence
Statement of responsibility, etc Mathieu Maheu-Giroux, Lynnmarie Sardinha, Heidi Stöckl, Sarah R. Meyer, Arnaud Godin, Monica Alexander and Claudia García-Moreno
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc BMC,
Date of publication, distribution, etc 2022
500 ## - GENERAL NOTE
General note BMC Medical Research Methodology, 2022, 22, 159
520 ## - SUMMARY, ETC.
Summary, etc Background: Accurate and reliable estimates of violence against women form the backbone of global and regional monitoring efforts to eliminate this human right violation and public health problem. Estimating the prevalence of intimate partner violence (IPV) is challenging due to variations in case definition and recall period, surveyed populations, partner definition, level of age disaggregation, and survey representativeness, among others. In this paper, we aim to develop a sound and flexible statistical modeling framework for global, regional, and national IPV statistics.<br/><br/>Methods: We modeled IPV within a Bayesian multilevel modeling framework, accounting for heterogeneity of age groups using age-standardization, and age patterns and time trends using splines functions. Survey comparability is achieved using adjustment factors which are estimated using exact matching and their uncertainty accounted for. Both in-sample and out-of-sample comparisons are used for model validation, including posterior predictive checks. Post-processing of models’ outputs is performed to aggregate estimates at different geographic levels and age groups.<br/><br/>Results: A total of 307 unique studies conducted between 2000–2018, from 154 countries/areas, and totaling nearly 1.8 million unique women responses informed lifetime IPV. Past year IPV had a similar number of studies (n = 332), countries/areas represented (n = 159), and individual responses (n = 1.8 million). Roughly half of IPV observations required some adjustments. Posterior predictive checks suggest good model fit to data and out-of-sample comparisons provided reassuring results with small median prediction errors and appropriate coverage of predictions’ intervals.<br/><br/>Conclusions: The proposed modeling framework can pool both national and sub-national surveys, account for heterogeneous age groups and age trends, accommodate different surveyed populations, adjust for differences in survey instruments, and efficiently propagate uncertainty to model outputs. Describing this model to reproducible levels of detail enables the accurate interpretation and responsible use of estimates to inform effective violence against women prevention policy and programs, and global monitoring of elimination efforts as part of the Sustainable Development Goals. (Authors' abstract). Record #7657
650 27 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element DOMESTIC VIOLENCE
9 (RLIN) 203
650 20 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element INTERNATIONAL COMPARISON
9 (RLIN) 3394
650 20 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element INTIMATE PARTNER VIOLENCE
9 (RLIN) 431
650 27 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 455
Topical term or geographic name as entry element PREVALENCE
650 27 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element RESEARCH METHODS
9 (RLIN) 499
650 27 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element STATISTICS
9 (RLIN) 575
650 20 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element VIOLENCE AGAINST WOMEN
9 (RLIN) 3088
651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
Geographic name INTERNATIONAL
9 (RLIN) 3624
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Sardinha, LynnMarie
9 (RLIN) 8024
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Stöckl, Heidi
9 (RLIN) 9998
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Meyer, Sarah R.
9 (RLIN) 10742
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Godin, Arnaud
9 (RLIN) 10931
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Alexander, Monica
9 (RLIN) 10932
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Garcia-Moreno, Claudia
9 (RLIN) 1200
773 0# - HOST ITEM ENTRY
Title BMC Medical Research Methodology, 2022, 22, 159
830 ## - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title BMC Medical Research Methodology
9 (RLIN) 10933
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1186/s12874-022-01634-5">https://doi.org/10.1186/s12874-022-01634-5</a>
Link text DOI: 10.1186/s12874-022-01634-5 (Open access)
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Journal article
Classification part pānui-111
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Vine library Vine library 09/06/2022   Online ON22060016 09/06/2022 09/06/2022 Access online