Barriers to longitudinal follow-up for hepatitis B treatment in rural Sierra Leone: A mixed methods study of retention in care

Author:

Lebbie Williams1,Allan-Blitz Lao-Tzu2ORCID,Nyama Emmanuel T.1,Swaray Mohamed1,Lavalie Daniel3,Mhango Michael1,Patiño Rodriguez Marta1,Gupta Neil2,Bitwayiki Remy1

Affiliation:

1. Partners In Health, Freetown, Sierra Leone, Britannica, WA

2. Division of Global Health Equity, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA

3. Ministry of Health and Sanitation, Freetown, Sierra Leone, Britannica, WA

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.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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