GPS-measured distance to clinic, but not self-reported transportation factors, are associated with missed HIV clinic visits in rural Uganda

被引:82
作者
Siedner, Mark J. [1 ]
Lankowski, Alexander [1 ]
Tsai, Alexander C. [1 ,2 ]
Muzoora, Conrad [3 ]
Martin, Jeffrey N. [4 ]
Hunt, Peter W. [4 ]
Haberer, Jessica E. [1 ]
Bangsberg, David R. [1 ,3 ,5 ,6 ]
机构
[1] Massachusetts Gen Hosp, Ctr Global Hlth, Boston, MA 02114 USA
[2] Massachusetts Gen Hosp, Dept Psychiat, Chester M Pierce MD Div Global Psychiat, Boston, MA 02114 USA
[3] Mbarara Univ Sci & Technol, Mbarara, Uganda
[4] Univ Calif San Francisco, San Francisco, CA 94143 USA
[5] Massachusetts Gen Hosp, Ctr Global Hlth, Ragon Inst, Massachusetts Gen Hosp MIT & Harvard, Boston, MA 02114 USA
[6] Harvard Univ, Sch Med, Boston, MA USA
基金
美国国家卫生研究院;
关键词
distance to clinic; global positioning systems; HIV/AIDS; linkage to care; sub-Saharan Africa; transportation; Uganda; RECEIVING ANTIRETROVIRAL THERAPY; FOLLOW-UP; INFECTED PATIENTS; RISK-FACTORS; ADHERENCE; MORTALITY; PROGRAM; ADULTS; CARE; PREDICTORS;
D O I
10.1097/QAD.0b013e32835fd873
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Objective: Studies of the association between transportation barriers and HIV-related health outcomes have shown both positive and negative effects, possibly because a reliable, validated measure of transportation barriers has not been identified. Design: Prospective cohort study of HIV-infected patients in rural Uganda. Methods: Participants were enrolled from the HIV clinic at the regional referral hospital in Mbarara, Uganda as part of the Uganda AIDS Rural Treatment Outcomes (UARTO) Study. We collected the following measures of transportation barriers to HIV clinic: global positioning systems (GPS)-tracked distance measured by driving participants to their homes along their typical route; straight-line GPS distance from clinic to home, calculated with the Great Circle Formula; self-reported travel time; and self-reported travel cost. We assessed inter-measure agreement using linear regression, correlation coefficients and kappa statistics (by measure quartile) and validated measures by fitting linear regression models to estimate associations with days late for clinic visits. Results: One hundred and eighty-eight participants were tracked with GPS. Seventy-six percent were women, with a median age of 40 years and median CD4 cell count of 193 cells/ml. We found a high correlation between GPS-based distance measures (beta = 0.74, P < 0.001, R-2 = 0.92, kappa = 0.73), but little correlation between GPS-based and self-reported measures (all R-2 <= 0.4). GPS-based measures were associated with days late to clinic (P < 0.001); but neither self-reported measure was associated (P > 0.85). Conclusion: GPS-measured distance to clinic is associated with HIV clinic absenteeism and should be prioritized over self-reported measures to optimally risk-stratify patients accessing care in rural, resource-limited settings. (C) 2013 Wolters Kluwer Health vertical bar Lippincott Williams & Wilkins
引用
收藏
页码:1503 / 1508
页数:6
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