Williams Lebbie, Lao-Tzu Allan-Blitz, Emmanuel T Nyama, Mohamed Swaray, Daniel Lavalie, Michael Mhango, Marta Patiño Rodriguez, Neil Gupta, Remy Bitwayiki
{"title":"Barriers to longitudinal follow-up for hepatitis B treatment in rural Sierra Leone: A mixed methods study of retention in care.","authors":"Williams Lebbie, Lao-Tzu Allan-Blitz, Emmanuel T Nyama, Mohamed Swaray, Daniel Lavalie, Michael Mhango, Marta Patiño Rodriguez, Neil Gupta, Remy Bitwayiki","doi":"10.1097/CLD.0000000000000225","DOIUrl":null,"url":null,"abstract":"<p><p>HBV disproportionately affects resource-limited settings, and retaining patients in longitudinal care remains challenging. We conducted a mixed methods investigation to understand the causes of losses to follow-up within an HBV clinic in rural Sierra Leone. We developed a multivariable logistic regression model of baseline clinical and sociodemographic factors predicting losses to follow-up, defined as failing to present for a follow-up visit within 14 months of enrollment. We included patients enrolled between April 30, 2019 and March 1, 2020, permitting 14 months of follow-up by April 30, 2021. We then developed a survey to solicit patient perspectives on the challenges surrounding retention. We interviewed randomly selected patients absent from HBV care for at least 6 months. Among 271 patients enrolled in the Kono HBV clinic, 176 (64.9%) did not have a follow-up visit within 14 months of the study end point. Incomplete baseline workup (aOR 2.9; 95% CI: 1.6-4.8), lack of treatment at baseline (aOR 5.0; 95% CI: 1.7-14.4), and having cirrhosis at baseline (aOR 3.3; 95% CI: 0.99-10.8) were independently associated with being lost to follow-up. For the patient survey, 21 patients completed the interview (median age 34 years [IQR: 25-38]). Travel-related factors were the most frequently reported barrier to retention (57%). Almost 30% suggested improved customer care might support retention in care; 24% requested to be given medication. In our setting, factors that might reduce losses to follow-up included expanded criteria for treatment initiation, overcoming transportation barriers, reducing wait times, ensuring against stockouts, and scaling up point-of-care testing services.</p>","PeriodicalId":10377,"journal":{"name":"Clinical Liver Disease","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11146505/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Liver Disease","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/CLD.0000000000000225","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
HBV disproportionately affects resource-limited settings, and retaining patients in longitudinal care remains challenging. We conducted a mixed methods investigation to understand the causes of losses to follow-up within an HBV clinic in rural Sierra Leone. We developed a multivariable logistic regression model of baseline clinical and sociodemographic factors predicting losses to follow-up, defined as failing to present for a follow-up visit within 14 months of enrollment. We included patients enrolled between April 30, 2019 and March 1, 2020, permitting 14 months of follow-up by April 30, 2021. We then developed a survey to solicit patient perspectives on the challenges surrounding retention. We interviewed randomly selected patients absent from HBV care for at least 6 months. Among 271 patients enrolled in the Kono HBV clinic, 176 (64.9%) did not have a follow-up visit within 14 months of the study end point. Incomplete baseline workup (aOR 2.9; 95% CI: 1.6-4.8), lack of treatment at baseline (aOR 5.0; 95% CI: 1.7-14.4), and having cirrhosis at baseline (aOR 3.3; 95% CI: 0.99-10.8) were independently associated with being lost to follow-up. For the patient survey, 21 patients completed the interview (median age 34 years [IQR: 25-38]). Travel-related factors were the most frequently reported barrier to retention (57%). Almost 30% suggested improved customer care might support retention in care; 24% requested to be given medication. In our setting, factors that might reduce losses to follow-up included expanded criteria for treatment initiation, overcoming transportation barriers, reducing wait times, ensuring against stockouts, and scaling up point-of-care testing services.