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Qureshi N, Woods B, Neves de Faria R, Saramago Goncalves P, Cox E, Leonardi Bee J, Condon L, Weng S, Akyea RK, Iyen B, Roderick P, Humphries SE, Rowlands W, Watson M, Haralambos K, Kenny R, Datta D, Miedzybrodzka Z, Byrne C, Kai J. Alternative cascade-testing protocols for identifying and managing patients with familial hypercholesterolaemia: systematic reviews, qualitative study and cost-effectiveness analysis. Health Technol Assess 2023; 27:1-140. [PMID: 37924278 PMCID: PMC10658348 DOI: 10.3310/ctmd0148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2023] Open
Abstract
Background Cascade testing the relatives of people with familial hypercholesterolaemia is an efficient approach to identifying familial hypercholesterolaemia. The cascade-testing protocol starts with identifying an index patient with familial hypercholesterolaemia, followed by one of three approaches to contact other relatives: indirect approach, whereby index patients contact their relatives; direct approach, whereby the specialist contacts the relatives; or a combination of both direct and indirect approaches. However, it is unclear which protocol may be most effective. Objectives The objectives were to determine the yield of cases from different cascade-testing protocols, treatment patterns, and short- and long-term outcomes for people with familial hypercholesterolaemia; to evaluate the cost-effectiveness of alternative protocols for familial hypercholesterolaemia cascade testing; and to qualitatively assess the acceptability of different cascade-testing protocols to individuals and families with familial hypercholesterolaemia, and to health-care providers. Design and methods This study comprised systematic reviews and analysis of three data sets: PASS (PASS Software, Rijswijk, the Netherlands) hospital familial hypercholesterolaemia databases, the Clinical Practice Research Datalink (CPRD)-Hospital Episode Statistics (HES) linked primary-secondary care data set, and a specialist familial hypercholesterolaemia register. Cost-effectiveness modelling, incorporating preceding analyses, was undertaken. Acceptability was examined in interviews with patients, relatives and health-care professionals. Result Systematic review of protocols: based on data from 4 of the 24 studies, the combined approach led to a slightly higher yield of relatives tested [40%, 95% confidence interval (CI) 37% to 42%] than the direct (33%, 95% CI 28% to 39%) or indirect approaches alone (34%, 95% CI 30% to 37%). The PASS databases identified that those contacted directly were more likely to complete cascade testing (p < 0.01); the CPRD-HES data set indicated that 70% did not achieve target treatment levels, and demonstrated increased cardiovascular disease risk among these individuals, compared with controls (hazard ratio 9.14, 95% CI 8.55 to 9.76). The specialist familial hypercholesterolaemia register confirmed excessive cardiovascular morbidity (standardised morbidity ratio 7.17, 95% CI 6.79 to 7.56). Cost-effectiveness modelling found a net health gain from diagnosis of -0.27 to 2.51 quality-adjusted life-years at the willingness-to-pay threshold of £15,000 per quality-adjusted life-year gained. The cost-effective protocols cascaded from genetically confirmed index cases by contacting first- and second-degree relatives simultaneously and directly. Interviews found a service-led direct-contact approach was more reliable, but combining direct and indirect approaches, guided by index patients and family relationships, may be more acceptable. Limitations Systematic reviews were not used in the economic analysis, as relevant studies were lacking or of poor quality. As only a proportion of those with primary care-coded familial hypercholesterolaemia are likely to actually have familial hypercholesterolaemia, CPRD analyses are likely to underestimate the true effect. The cost-effectiveness analysis required assumptions related to the long-term cardiovascular disease risk, the effect of treatment on cholesterol and the generalisability of estimates from the data sets. Interview recruitment was limited to white English-speaking participants. Conclusions Based on limited evidence, most cost-effective cascade-testing protocols, diagnosing most relatives, select index cases by genetic testing, with services directly contacting relatives, and contacting second-degree relatives even if first-degree relatives have not been tested. Combined approaches to contact relatives may be more suitable for some families. Future work Establish a long-term familial hypercholesterolaemia cohort, measuring cholesterol levels, treatment and cardiovascular outcomes. Conduct a randomised study comparing different approaches to contact relatives. Study registration This study is registered as PROSPERO CRD42018117445 and CRD42019125775. Funding This project was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 27, No. 16. See the NIHR Journals Library website for further project information.
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Affiliation(s)
- Nadeem Qureshi
- PRISM Research Group, Centre for Academic Primary Care, School of Medicine, University of Nottingham, Nottingham, UK
| | - Bethan Woods
- Centre for Health Economics, University of York, York, UK
| | | | | | - Edward Cox
- Centre for Health Economics, University of York, York, UK
| | - Jo Leonardi Bee
- PRISM Research Group, Centre for Academic Primary Care, School of Medicine, University of Nottingham, Nottingham, UK
| | - Laura Condon
- PRISM Research Group, Centre for Academic Primary Care, School of Medicine, University of Nottingham, Nottingham, UK
| | - Stephen Weng
- Cardiovascular and Metabolism, Janssen Research and Development, High Wycombe, UK
| | - Ralph K Akyea
- PRISM Research Group, Centre for Academic Primary Care, School of Medicine, University of Nottingham, Nottingham, UK
| | - Barbara Iyen
- PRISM Research Group, Centre for Academic Primary Care, School of Medicine, University of Nottingham, Nottingham, UK
| | - Paul Roderick
- Primary Care, Population Sciences and Medical Education, University of Southampton, Southampton, UK
| | - Steve E Humphries
- Centre for Cardiovascular Genetics, Institute for Cardiovascular Science, University College London, London, UK
| | | | - Melanie Watson
- Wessex Clinical Genetics Service, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Kate Haralambos
- Familial Hypercholesterolaemia Service, University Hospital of Wales, Cardiff, UK
| | - Ryan Kenny
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Dev Datta
- Lipid Unit, University Hospital Llandough, Penarth, UK
| | | | - Christopher Byrne
- Southampton National Institute for Health and Care Research Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Joe Kai
- PRISM Research Group, Centre for Academic Primary Care, School of Medicine, University of Nottingham, Nottingham, UK
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Lazem M, Sheikhtaheri A. Barriers and facilitators for the implementation of health condition and outcome registry systems: a systematic literature review. J Am Med Inform Assoc 2022; 29:723-734. [PMID: 35022765 PMCID: PMC8922163 DOI: 10.1093/jamia/ocab293] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 09/29/2021] [Accepted: 12/27/2021] [Indexed: 01/13/2023] Open
Abstract
OBJECTIVE Health condition and outcome registry systems (registries) are used to collect data related to diseases and other health-related outcomes in specific populations. The implementation of these programs encounters various barriers and facilitators. Therefore, the present review aimed to identify and classify these barriers and facilitators. MATERIALS AND METHODS Some databases, including PubMed, Embase, ISI Web of Sciences, Cochrane Library, Scopus, Ovid, ProQuest, and Google Scholar, were searched using related keywords. Thereafter, based on the inclusion and exclusion criteria, the required data were collected using a data extraction form and then analyzed by the content analysis method. The obtained data were analyzed separately for research and review studies, and the developed and developing countries were compared. RESULTS Forty-five studies were reviewed and 175 unique codes were identified, among which 93 barriers and 82 facilitators were identified. Afterward, these factors were classified into the following 7 categories: barriers/facilitators to management and data management, poor/improved collaborations, technological constraints/appropriateness, barriers/facilitators to legal and regulatory factors, considerations/facilitators related to diseases, and poor/improved patients' participation. Although many of these factors have been more cited in the literature related to the developing countries, they were found to be common in both developed and developing countries. CONCLUSION Lack of budget, poor performance of managers, low data quality, and low stakeholders' interest/motivation on one hand, and financing, providing adequate training, ensuring data quality, and appropriate data collection on the other hand were found as the most common barriers or facilitators for the success of the registry implementation.
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Affiliation(s)
- Mina Lazem
- Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Abbas Sheikhtaheri
- Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran,Health Management and Economics Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran,Corresponding Author: Abbas Sheikhtaheri, PhD, Health Management and Economics Research Center, Health Management Research Institute, Iran University of Medical Sciences, Yasemi St, Valiasr Ave, Tehran, Iran;
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Leonardi-Bee J, Boateng C, Faria R, Eliman K, Young B, Qureshi N. Effectiveness of cascade testing strategies in relatives for familial hypercholesterolemia: A systematic review and meta-analysis. Atherosclerosis 2021; 338:7-14. [PMID: 34753031 DOI: 10.1016/j.atherosclerosis.2021.09.014] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 09/08/2021] [Accepted: 09/14/2021] [Indexed: 12/20/2022]
Abstract
BACKGROUND AND AIMS Cascade testing in relatives of index cases is the most cost-effective approach to identifying people with familial hypercholesterolemia (FH); however, it is currently unclear which strategy to contact relatives would be the most effective. A systematic review was performed to quantify the effectiveness of different strategies in cascade testing of FH. METHODS Comprehensive searches of three electronic databases and grey literature sources were done (from inception to May 2020). Screening, data extraction and assessments of methodological quality were made independently by two reviewers. Meta-analyses of proportions were performed using random effects models. Effect measures are reported as percentages with 95% confidence intervals. RESULTS 24 non-comparative studies were included, of which 11 used a direct, 8 used an indirect, and 5 used a combination of both direct and indirect cascade strategies. The median number of new relatives with FH per known index case was approximately 1. The combination strategy resulted in the largest yields of relatives tested for FH out of those contacted (40%, 95% CI 37%-42%, 1 study) and relatives responding to testing out of those contacted (54%, 1 study); however, the direct strategy had the largest yield of index cases participating in cascade testing out of those with FH confirmed (94%, 8 studies) compared to other strategies (p ≤ 0.01 for all comparisons). CONCLUSIONS Evidence is limited; however, a combination strategy, which allows the index case to decide on method of contacting relatives, appears to lead to better yields compared to using the direct or indirect strategy.
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Affiliation(s)
- Jo Leonardi-Bee
- Division of Epidemiology and Public Health, School of Medicine, University of Nottingham, UK; Centre for Evidence Based Healthcare, Faculty of Medicine and Health Sciences, University of Nottingham, UK.
| | - Christabel Boateng
- Division of Epidemiology and Public Health, School of Medicine, University of Nottingham, UK
| | - Rita Faria
- Centre for Health Economics, University of York, UK, USA
| | - Kelly Eliman
- Division of Epidemiology and Public Health, School of Medicine, University of Nottingham, UK; Department of Global Public Health, Karolinska Institutet, Sweden
| | - Ben Young
- Division of Epidemiology and Public Health, School of Medicine, University of Nottingham, UK
| | - Nadeem Qureshi
- Division of Primary Care, School of Medicine, University of Nottingham, UK
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Mehta R, Martagon AJ, Galan Ramirez GA, Antonio-Villa NE, Vargas-Vázquez A, Elias-Lopez D, Gonzalez-Retana G, Rodríguez-Encinas B, Ceballos-Macías JJ, Romero-Zazueta A, Martinez-Alvarado R, Morales-Portano JD, Alvarez-Lopez H, Sauque-Reyna L, Gomez-Herrera LG, Simental-Mendia LE, Garcia-Aguilar H, Ramirez-Cooremans E, Peña-Aparicio B, Mendoza-Zubieta V, Carrillo-Gonzalez PA, Ferreira-Hermosillo A, Caracas-Portilla N, Jimenez-Dominguez G, Ruiz-Garcia AY, Arriaga-Cazares HE, Gonzalez-Gonzalez JR, Mendez-Valencia CV, Padilla FG, Madriz-Prado R, De Los Rios-Ibarra MO, Vazquez-Cardenas A, Arjona-Villicaña RD, Acevedo-Rivera KJ, Allende-Carrera R, Alvarez JA, Amezcua-Martinez JC, de Los Reyes Barrera-Bustillo M, Carazo-Vargas G, Contreras-Chacon R, Figueroa-Andrade MH, Flores-Ortega A, Garcia-Alcala H, Garcia de Leon LE, Garcia-Guzman B, Garduño-Garcia JJ, Garnica-Cuellar JC, Gomez-Cruz JR, Hernandez-Garcia A, Holguin-Almada JR, Juarez-Herrera U, Lugo-Sobrevilla F, Marquez-Rodriguez E, Martinez-Sibaja C, Medrano-Rodriguez AB, Morales-Oyervides JC, Perez-Vazquez DI, Reyes-Rodriguez EA, Robles-Osorio ML, Rosas-Saucedo J, Torres-Tamayo M, Valdez-Talavera LA, Vera-Arroyo LE, Zepeda-Carrillo EA, Aguilar-Salinas CA. Familial hypercholesterolemia in Mexico: Initial insights from the national registry. J Clin Lipidol 2021; 15:124-133. [PMID: 33422452 DOI: 10.1016/j.jacl.2020.12.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 11/18/2020] [Accepted: 12/04/2020] [Indexed: 12/23/2022]
Abstract
BACKGROUND Familial hypercholesterolemia (FH) remains underdiagnosed and undertreated. OBJECTIVE Report the results of the first years (2017-2019) of the Mexican FH registry. METHODS There are 60 investigators, representing 28 federal states, participating in the registry. The variables included are in accordance with the European Atherosclerosis Society (EAS) FH recommendations. RESULTS To date, 709 patients have been registered, only 336 patients with complete data fields are presented. The mean age is 50 (36-62) years and the average time since diagnosis is 4 (IQR: 2-16) years. Genetic testing is recorded in 26.9%. Tendon xanthomas are present in 43.2%. The prevalence of type 2 diabetes is 11.3% and that of premature CAD is 9.8%. Index cases, male gender, hypertension and smoking were associated with premature CAD. The median lipoprotein (a) level is 30.5 (IQR 10.8-80.7) mg/dl. Statins and co-administration with ezetimibe were recorded in 88.1% and 35.7% respectively. A combined treatment target (50% reduction in LDL-C and an LDL-C <100 mg/dl) was achieved by 13.7%. Associated factors were index case (OR 3.6, 95%CI 1.69-8.73, P = .002), combination therapy (OR 2.4, 95%CI 1.23-4.90, P = .011), type 2 diabetes (OR 2.8, 95%CI 1.03-7.59, P = .036) and age (OR 1.023, 95%CI 1.01-1.05, P = .033). CONCLUSION The results confirm late diagnosis, a lower than expected prevalence and risk of ASCVD, a higher than expected prevalence of type 2 diabetes and undertreatment, with relatively few patients reaching goals. Recommendations include, the use of combination lipid lowering therapy, control of comorbid conditions and more frequent genetic testing in the future.
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Affiliation(s)
- Roopa Mehta
- Unidad de Investigación de Enfermedades Metabolicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubiran, México City, Mexico; Departamento de Endocrinologia y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutricion Salvador Zubiran, Mexico City, Mexico
| | - Alexandro J Martagon
- Unidad de Investigación de Enfermedades Metabolicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubiran, México City, Mexico; Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Nuevo Leon, Mexico
| | - Gabriela A Galan Ramirez
- Unidad de Investigación de Enfermedades Metabolicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubiran, México City, Mexico
| | - Neftali Eduardo Antonio-Villa
- Unidad de Investigación de Enfermedades Metabolicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubiran, México City, Mexico
| | - Arsenio Vargas-Vázquez
- Unidad de Investigación de Enfermedades Metabolicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubiran, México City, Mexico
| | - Daniel Elias-Lopez
- Unidad de Investigación de Enfermedades Metabolicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubiran, México City, Mexico; Departamento de Endocrinologia y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutricion Salvador Zubiran, Mexico City, Mexico
| | - Gustavo Gonzalez-Retana
- Departamento de Endocrinologia y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutricion Salvador Zubiran, Mexico City, Mexico
| | - Bethsabel Rodríguez-Encinas
- Departamento de Endocrinologia y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutricion Salvador Zubiran, Mexico City, Mexico
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Guadalupe Jimenez-Dominguez
- Hospital General Zona #46 IMSS, Villahermosa, Tabasco, Mexico; Hospital Angeles de Villahermosa, Tabasco, Mexico
| | | | - Hector E Arriaga-Cazares
- Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Nuevo Leon, Mexico; Centro Medico Nacional del Noreste IMSS, Monterrey, Nuevo Leon, Mexico
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- Unidad de Investigación de Enfermedades Metabolicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubiran, México City, Mexico; Departamento de Endocrinologia y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutricion Salvador Zubiran, Mexico City, Mexico; Direccion de Nutricion, Instituto Nacional de Ciencias Médicas y Nutricion Salvador Zubiran, Mexico City, Mexico; Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Nuevo Leon, Mexico.
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