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      Preferences for prenatal diagnosis of sickle‐cell disorder: A discrete choice experiment comparing potential service users and health‐care providers

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          Abstract

          Background

          Non‐invasive prenatal diagnosis ( NIPD) for sickle‐cell disorder ( SCD) is moving closer to implementation and studies considering stakeholder preferences are required to underpin strategies for offering NIPD in clinical practice.

          Objective

          Determine service user and provider preferences for key attributes of prenatal diagnostic tests for SCD and examine views on NIPD.

          Method

          A questionnaire that includes a discrete choice experiment was used to determine the preferences of service users and providers for prenatal tests that varied across three attributes: accuracy, time of test and risk of miscarriage.

          Results

          Adults who were carriers of SCD or affected with the condition (N=67) were recruited from haemoglobinopathy clinics at two maternity units. Health professionals, predominately midwives, who offer antenatal care (N=62) were recruited from one maternity unit. No miscarriage risk was a key driver of decision making for both service users and providers. Service providers placed greater emphasis on accuracy than service users. Current uptake of invasive tests was 63%, whilst predicted uptake of NIPD was 93.8%. Many service users (55.4%) and providers (52.5%) think pressure to have prenatal testing will increase when NIPD for SCD becomes available.

          Conclusions

          There are clear differences between service users and health professionals’ preferences for prenatal tests for sickle‐cell disorder. The safety of NIPD is welcomed by parents and uptake is likely to be high. To promote informed choice, pretest counselling should be balanced and not exclusively focused on test safety. Counselling strategies that are sensitive to feelings of pressure to test will be essential.

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          Most cited references33

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          Conjoint analysis applications in health--a checklist: a report of the ISPOR Good Research Practices for Conjoint Analysis Task Force.

          The application of conjoint analysis (including discrete-choice experiments and other multiattribute stated-preference methods) in health has increased rapidly over the past decade. A wider acceptance of these methods is limited by an absence of consensus-based methodological standards. The International Society for Pharmacoeconomics and Outcomes Research (ISPOR) Good Research Practices for Conjoint Analysis Task Force was established to identify good research practices for conjoint-analysis applications in health. The task force met regularly to identify the important steps in a conjoint analysis, to discuss good research practices for conjoint analysis, and to develop and refine the key criteria for identifying good research practices. ISPOR members contributed to this process through an extensive consultation process. A final consensus meeting was held to revise the article using these comments, and those of a number of international reviewers. Task force findings are presented as a 10-item checklist covering: 1) research question; 2) attributes and levels; 3) construction of tasks; 4) experimental design; 5) preference elicitation; 6) instrument design; 7) data-collection plan; 8) statistical analyses; 9) results and conclusions; and 10) study presentation. A primary question relating to each of the 10 items is posed, and three sub-questions examine finer issues within items. Although the checklist should not be interpreted as endorsing any specific methodological approach to conjoint analysis, it can facilitate future training activities and discussions of good research practices for the application of conjoint-analysis methods in health care studies. Copyright © 2011 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.
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            Sickle-cell disease.

            Sickle-cell disease is one of the most common severe monogenic disorders in the world. Haemoglobin polymerisation, leading to erythrocyte rigidity and vaso-occlusion, is central to the pathophysiology of this disease, although the importance of chronic anaemia, haemolysis, and vasculopathy has been established. Clinical management is basic and few treatments have a robust evidence base. One of the main problems of sickle-cell disease in children is the development of cerebrovascular disease and cognitive impairment, and the role of blood transfusion and hydroxycarbamide for prevention of these complications is starting to be understood. Recurrent episodes of vaso-occlusion and inflammation result in progressive damage to most organs, including the brain, kidneys, lungs, bones, and cardiovascular system, which becomes apparent with increasing age. Most people with sickle-cell disease live in Africa, where little is known about this disease; however, we do know that the disorder follows a more severe clinical course in Africa than for the rest of the world and that infectious diseases have a role in causing this increased severity of sickle-cell disease. More work is needed to develop effective treatments that specifically target pathophysiological changes and clinical complications of sickle-cell disease. Copyright © 2010 Elsevier Ltd. All rights reserved.
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              Global epidemiology of sickle haemoglobin in neonates: a contemporary geostatistical model-based map and population estimates

              Summary Background Reliable estimates of populations affected by diseases are necessary to guide efficient allocation of public health resources. Sickle haemoglobin (HbS) is the most common and clinically significant haemoglobin structural variant, but no contemporary estimates exist of the global populations affected. Moreover, the precision of available national estimates of heterozygous (AS) and homozygous (SS) neonates is unknown. We aimed to provide evidence-based estimates at various scales, with uncertainty measures. Methods Using a database of sickle haemoglobin surveys, we created a contemporary global map of HbS allele frequency distribution within a Bayesian geostatistical model. The pairing of this map with demographic data enabled calculation of global, regional, and national estimates of the annual number of AS and SS neonates. Subnational estimates were also calculated in data-rich areas. Findings Our map shows subnational spatial heterogeneities and high allele frequencies across most of sub-Saharan Africa, the Middle East, and India, as well as gene flow following migrations to western Europe and the eastern coast of the Americas. Accounting for local heterogeneities and demographic factors, we estimated that the global number of neonates affected by HbS in 2010 included 5 476 000 (IQR 5 291 000–5 679 000) AS neonates and 312 000 (294 000–330 000) SS neonates. These global estimates are higher than previous conservative estimates. Important differences predicted at the national level are discussed. Interpretation HbS will have an increasing effect on public health systems. Our estimates can help countries and the international community gauge the need for appropriate diagnoses and genetic counselling to reduce the number of neonates affected. Similar mapping and modelling methods could be used for other inherited disorders. Funding The Wellcome Trust.
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                Author and article information

                Contributors
                melissa.hill@ucl.ac.uk
                Journal
                Health Expect
                Health Expect
                10.1111/(ISSN)1369-7625
                HEX
                Health Expectations : An International Journal of Public Participation in Health Care and Health Policy
                John Wiley and Sons Inc. (Hoboken )
                1369-6513
                1369-7625
                15 May 2017
                December 2017
                : 20
                : 6 ( doiID: 10.1111/hex.2017.20.issue-6 )
                : 1289-1295
                Affiliations
                [ 1 ] Genetics and Genomic Medicine UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital for Children NHS Foundation Trust London UK
                [ 2 ] Directorate of Women's Health Guy's and St Thomas’ Foundation Trust London UK
                [ 3 ] King's College London London UK
                [ 4 ] Fetal Medicine Unit University College London Hospitals NHS Foundation Trust London UK
                [ 5 ] Institute of Women's Health University College London London UK
                [ 6 ] Haemoglobinopathy Genetics Service University College London Hospitals NHS Foundation Trust London UK
                [ 7 ] Department of Applied Health Research University College London London UK
                Author notes
                [*] [* ] Correspondence

                Dr Melissa Hill, Great Ormond Street Hospital NHS Trust, London, UK.

                Email: melissa.hill@ 123456ucl.ac.uk

                Author information
                http://orcid.org/0000-0003-3900-1425
                Article
                HEX12568
                10.1111/hex.12568
                5689222
                28504327
                3eafd765-c0da-4c7e-9e27-e47a55d845bc
                © 2017 The Authors Health Expectations Published by John Wiley & Sons Ltd

                This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 01 April 2017
                Page count
                Figures: 0, Tables: 6, Pages: 7, Words: 6259
                Funding
                Funded by: National Institute for Health Research
                Award ID: RP‐PG‐0707‐10107
                Funded by: Great Ormond Street Hospital Children’s Charity
                Funded by: NIHR Biomedical Research Centre at Great Ormond Street Hospital
                Categories
                Original Research Paper
                Original Research Papers
                Custom metadata
                2.0
                hex12568
                December 2017
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.2.5 mode:remove_FC converted:16.11.2017

                Health & Social care
                discrete choice experiment,non‐invasive prenatal diagnosis,sickle‐cell disorder

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