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      Costs of accessing HIV testing services among rural Malawi communities

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          ABSTRACT

          HIV testing is free in Malawi, but users may still incur costs that can deter or delay them accessing these services. We sought to identify and quantify these costs among HIV testing service clients in Malawi. We asked residents of communities participating in a cluster randomised trial investigating the impact of HIV self-testing about their past HIV testing experiences and the direct non-medical and indirect costs incurred to access HIV testing. We recruited 749 participants whose most recent HIV test was within the past 12 months. The mean total cost to access testing was US$2.45 (95%CI: US$2.11–US$2.70). Men incurred higher costs (US$3.81; 95%CI: US$2.91–US$4.50) than women (US$1.83; 95%CI: US$1.61–US$2.00). Results from a two-part multivariable regression analysis suggest that age, testing location, time taken to test, visiting a facility specifically for an HIV test and district of residence significantly affected the odds of incurring costs to testing. In addition, gender, wealth, age, education and district of residence were associated with significant user costs.

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          Estimating wealth effects without expenditure data--or tears: an application to educational enrollments in states of India.

          Using data from India, we estimate the relationship between household wealth and children's school enrollment. We proxy wealth by constructing a linear index from asset ownership indicators, using principal-components analysis to derive weights. In Indian data this index is robust to the assets included, and produces internally coherent results. State-level results correspond well to independent data on per capita output and poverty. To validate the method and to show that the asset index predicts enrollments as accurately as expenditures, or more so, we use data sets from Indonesia, Pakistan, and Nepal that contain information on both expenditures and assets. The results show large, variable wealth gaps in children's enrollment across Indian states. On average a "rich" child is 31 percentage points more likely to be enrolled than a "poor" child, but this gap varies from only 4.6 percentage points in Kerala to 38.2 in Uttar Pradesh and 42.6 in Bihar.
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            Too much ado about two-part models and transformation? Comparing methods of modeling Medicare expenditures.

            Many methods for modeling skewed health care cost and use data have been suggested in the literature. This paper compares the performance of eight alternative estimators, including OLS and GLM estimators and one- and two-part models, in predicting Medicare costs. It finds that four of the alternatives produce very similar results in practice. It then suggests an efficient method for researchers to use when selecting estimators of health care costs. Copyright 2004 Elsevier B.V.
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              Methods for analyzing health care utilization and costs.

              Important questions about health care are often addressed by studying health care utilization. Utilization data have several characteristics that make them a challenge to analyze. In this paper we discuss sources of information, the statistical properties of utilization data, common analytic methods including the two-part model, and some newly available statistical methods including the generalized linear model. We also address issues of study design and new methods for dealing with censored data. Examples are presented.
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                Author and article information

                Journal
                AIDS Care
                AIDS Care
                CAIC
                caic20
                AIDS Care
                Taylor & Francis
                0954-0121
                1360-0451
                2018
                08 July 2018
                : 30
                : Suppl 3 , Household Economic Strengthening for HIV Outcomes. This supplement was funded by the United States Agency for International Development and the President’s Emergency Fund for AIDS Relief and developed by the ASPIRES project at FHI 360.
                : 27-36
                Affiliations
                [a ] Malawi-Liverpool-Wellcome Trust Clinical Research Programme , Blantyre, Malawi
                [b ] Faculty of Public Health & Policy, London School of Hygiene & Tropical Medicine , London, UK
                [c ] Institute of Psychology, Health and Society, University of Liverpool , Liverpool, UK
                [d ] The Centre for Sexual Health and HIV AIDS Research (CeSHHAR) , Harare, Zimbabwe
                [e ] Zambart , Lusaka, Zambia
                [g ] Population Services International , Lilongwe, Malawi
                [h ] Department of HIV/AIDS, World Health Organisation , Geneva, Switzerland
                [i ] Population Services International , Harare, Zimbabwe
                [j ] Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine , London, UK
                [k ] Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine , London, UK
                Author notes
                [CONTACT ] Linda Sande linda.sande@ 123456lshtm.ac.uk Faculty of Public Health & Policy, London School of Hygiene and Tropical Medicine , Keppel Street, LondonWC1E 7HT, UK
                Article
                1479032
                10.1080/09540121.2018.1479032
                6050712
                28662587
                8cf5109a-6916-4375-b840-3e03707ef4d9
                © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 04 March 2018
                : 17 May 2018
                Page count
                Figures: 0, Tables: 5, Equations: 2, References: 56, Pages: 10
                Funding
                Funded by: UNITAID
                Award ID: PO#8477-0-600
                Funded by: Wellcome Trust 10.13039/100004440
                Award ID: WT200901
                This research is under Self-Testing AfRica (STAR) Project is funded by UNITAID [grant number PO#8477-0-600]. E.L.C. is funded by a Wellcome Trust Senior Research Fellowship in Clinical Science [grant number WT200901/Z/16/Z].
                Categories
                Articles

                Sexual medicine
                hiv,hiv testing and counseling,total costs
                Sexual medicine
                hiv, hiv testing and counseling, total costs

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