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      Effect and cost-effectiveness of human-centred design-based approaches to increase adolescent uptake of modern contraceptives in Nigeria, Ethiopia and Tanzania: Population-based, quasi-experimental studies

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          Abstract

          Around half of adolescent pregnancies in low- and middle-income countries are unintended, contributing to millions of unsafe abortions per year. Adolescents 360 (A360), a girl-centred initiative, aimed to increase voluntary uptake of modern contraceptives among adolescents in Nigeria, Ethiopia and Tanzania. We evaluated the effectiveness and cost-effectiveness of A360 in increasing modern contraceptive use in selected geographies. We used before-and-after cross-sectional studies of adolescent girls in four settings. Two Nigerian settings had purposefully selected comparison areas. Baseline and endline household surveys were conducted. The primary study outcome was modern contraceptive prevalence rate (mCPR). Secondary outcomes mapped onto the A360 Theory of Change. Interpretation was aided by a process evaluation along with secular mCPR trends and self-reported A360 exposure data. Incremental design and implementation costs were calculated from implementer systems, site visits, surveys, and interviews. mCPR change was modelled into maternal disability-adjusted life years (DALY) averted to calculate incremental cost-effectiveness ratios. In Oromia, Ethiopia, mCPR increased by 5% points (95% CI 1–10; n = 1,697). In Nigeria, there was no evidence of an effect of A360 on mCPR in Nasarawa (risk ratio: 0·96, 95% CI: 0·76–1·21; n = 5,414) or in Ogun (risk ratio: 1·08, 95% CI: 0·92–1·26; n = 3,230). In Mwanza, Tanzania, mCPR decreased by 9% points (-17 to -0.3; n = 1,973). Incremental cost per DALY averted were $30,855 in Oromia, $111,416 in Nasarawa, $30,114 in Ogun, and $25,579 in Mwanza. Costs per DALY averted were 14–53 times gross domestic product per capita. A360 did not lead to increased adolescent use of modern contraceptives at a population level, except in Oromia, and was not cost-effective. This novel adolescent-centred design approach showed some promise in addressing the reproductive health needs of adolescents, but must be accompanied by efforts to address the contextual drivers of low modern contraceptive use.

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          Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide

          Without a complete published description of interventions, clinicians and patients cannot reliably implement interventions that are shown to be useful, and other researchers cannot replicate or build on research findings. The quality of description of interventions in publications, however, is remarkably poor. To improve the completeness of reporting, and ultimately the replicability, of interventions, an international group of experts and stakeholders developed the Template for Intervention Description and Replication (TIDieR) checklist and guide. The process involved a literature review for relevant checklists and research, a Delphi survey of an international panel of experts to guide item selection, and a face to face panel meeting. The resultant 12 item TIDieR checklist (brief name, why, what (materials), what (procedure), who provided, how, where, when and how much, tailoring, modifications, how well (planned), how well (actual)) is an extension of the CONSORT 2010 statement (item 5) and the SPIRIT 2013 statement (item 11). While the emphasis of the checklist is on trials, the guidance is intended to apply across all evaluative study designs. This paper presents the TIDieR checklist and guide, with an explanation and elaboration for each item, and examples of good reporting. The TIDieR checklist and guide should improve the reporting of interventions and make it easier for authors to structure accounts of their interventions, reviewers and editors to assess the descriptions, and readers to use the information.
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            Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide.

            Without a complete published description of interventions, clinicians and patients cannot reliably implement interventions that are shown to be useful, and other researchers cannot replicate or build on research findings. The quality of description of interventions in publications, however, is remarkably poor. To improve the completeness of reporting, and ultimately the replicability, of interventions, an international group of experts and stakeholders developed the Template for Intervention Description and Replication (TIDieR) checklist and guide. The process involved a literature review for relevant checklists and research, a Delphi survey of an international panel of experts to guide item selection, and a face to face panel meeting. The resultant 12 item TIDieR checklist (brief name, why, what (materials), what (procedure), who provided, how, where, when and how much, tailoring, modifications, how well (planned), how well (actual)) is an extension of the CONSORT 2010 statement (item 5) and the SPIRIT 2013 statement (item 11). While the emphasis of the checklist is on trials, the guidance is intended to apply across all evaluative study designs. This paper presents the TIDieR checklist and guide, with an explanation and elaboration for each item, and examples of good reporting. The TIDieR checklist and guide should improve the reporting of interventions and make it easier for authors to structure accounts of their interventions, reviewers and editors to assess the descriptions, and readers to use the information.
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              Use of interrupted time series analysis in evaluating health care quality improvements.

              Interrupted time series (ITS) analysis is arguably the strongest quasi-experimental research design. ITS is particularly useful when a randomized trial is infeasible or unethical. The approach usually involves constructing a time series of population-level rates for a particular quality improvement focus (eg, rates of attention-deficit/hyperactivity disorder [ADHD] medication initiation) and testing statistically for a change in the outcome rate in the time periods before and time periods after implementation of a policy/program designed to change the outcome. In parallel, investigators often analyze rates of negative outcomes that might be (unintentionally) affected by the policy/program. We discuss why ITS is a useful tool for quality improvement. Strengths of ITS include the ability to control for secular trends in the data (unlike a 2-period before-and-after t test), ability to evaluate outcomes using population-level data, clear graphical presentation of results, ease of conducting stratified analyses, and ability to evaluate both intended and unintended consequences of interventions. Limitations of ITS include the need for a minimum of 8 time periods before and 8 after an intervention to evaluate changes statistically, difficulty in analyzing the independent impact of separate components of a program that are implemented close together in time, and existence of a suitable control population. Investigators must also be careful not to make individual-level inferences when population-level rates are used to evaluate interventions (though ITS can be used with individual-level data). A brief description of ITS is provided, including a fully implemented (but hypothetical) study of the impact of a program to reduce ADHD medication initiation in children younger than 5 years old and insured by Medicaid in Washington State. An example of the database needed to conduct an ITS is provided, as well as SAS code to implement a difference-in-differences model using preschool-age children in California as a comparison group. Copyright © 2013 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: ResourcesRole: SoftwareRole: VisualizationRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: ResourcesRole: SoftwareRole: VisualizationRole: Writing – review & editing
                Role: Funding acquisitionRole: Writing – review & editing
                Role: Funding acquisitionRole: Writing – review & editing
                Role: Funding acquisitionRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: ResourcesRole: SoftwareRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: MethodologyRole: Project administrationRole: Supervision
                Role: Data curationRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: InvestigationRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: InvestigationRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: Data curationRole: MethodologyRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: Editor
                Journal
                PLOS Glob Public Health
                PLOS Glob Public Health
                plos
                PLOS Global Public Health
                Public Library of Science (San Francisco, CA USA )
                2767-3375
                18 October 2023
                2023
                : 3
                : 10
                : e0002347
                Affiliations
                [1 ] Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
                [2 ] MRC International Statistics and Epidemiology Group, London, United Kingdom
                [3 ] Avenir Health, Washington, DC, United States of America
                [4 ] Itad, Hove, United Kingdom
                [5 ] Mwanza Intervention Trials Unit, National Institute for Medical Research, Mwanza, Tanzania
                [6 ] Binomial Optimus Limited, Abuja, Nigeria
                [7 ] MMA Development Consultancy, Addis Ababa, Ethiopia
                [8 ] Department of Public Health, Environment and Society Research, London School of Hygiene and Tropical Medicine, London, United Kingdom
                Jhpiego, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0001-7629-3389
                https://orcid.org/0000-0001-7653-4541
                https://orcid.org/0009-0001-1343-3441
                https://orcid.org/0000-0003-4645-5724
                https://orcid.org/0000-0002-5241-8412
                https://orcid.org/0000-0002-3305-7738
                Article
                PGPH-D-23-00474
                10.1371/journal.pgph.0002347
                10584105
                37851610
                5aa45e66-4d3e-4de0-9c94-03c908bf4338
                © 2023 Krug et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 21 March 2023
                : 26 September 2023
                Page count
                Figures: 1, Tables: 5, Pages: 20
                Funding
                Funded by: Children’s Investment Fund Foundation
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000865, Bill and Melinda Gates Foundation;
                Award ID: OPP1134172
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000865, Bill and Melinda Gates Foundation;
                Award ID: OPP1134172
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000865, Bill and Melinda Gates Foundation;
                Award ID: OPP1134172
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000865, Bill and Melinda Gates Foundation;
                Award ID: OPP1134172
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000865, Bill and Melinda Gates Foundation;
                Award ID: OPP1134172
                Award Recipient :
                Funded by: Children’s Investment Fund Foundation
                Award Recipient :
                Funded by: Children’s Investment Fund Foundation
                Award Recipient :
                Funded by: Children’s Investment Fund Foundation
                Award Recipient :
                Funded by: Children’s Investment Fund Foundation
                Award Recipient :
                This work was supported by the Bill & Melinda Gates Foundation [OPP1134172] (SW, ML, AD, MN, MP) and the Children’s Investment Fund Foundation (SW, ML, AD, MN, MP). The content is solely the responsibility of the authors and does not necessarily represent the official views of the funders.
                Categories
                Research Article
                People and Places
                Population Groupings
                Age Groups
                Children
                Adolescents
                People and Places
                Population Groupings
                Families
                Children
                Adolescents
                Medicine and Health Sciences
                Pharmacology
                Drugs
                Contraceptives
                Biology and Life Sciences
                Bioengineering
                Biotechnology
                Medical Devices and Equipment
                Contraceptives
                Engineering and Technology
                Bioengineering
                Biotechnology
                Medical Devices and Equipment
                Contraceptives
                Medicine and Health Sciences
                Medical Devices and Equipment
                Contraceptives
                Medicine and Health Sciences
                Women's Health
                Obstetrics and Gynecology
                Contraception
                Female Contraception
                People and Places
                Geographical Locations
                Africa
                Nigeria
                People and Places
                Geographical Locations
                Africa
                Tanzania
                Social Sciences
                Economics
                Economic Analysis
                Cost-Effectiveness Analysis
                Medicine and Health Sciences
                Women's Health
                Obstetrics and Gynecology
                Contraception
                Male Contraception
                Medicine and Health Sciences
                Health Care
                Health Care Facilities
                Custom metadata
                Data is available at the LSHTM Data Compass: https://doi.org/10.17037/DATA.00003599.

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