2016
DOI: 10.1016/j.ijmyco.2016.04.004
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Determinants of health system delay at public and private directly observed treatment, short course facilities in Lagos State, Nigeria: A cross-sectional study

Abstract: Determinants of HSD at the public and private DOTS facilities vary. Strategies to reduce HSD at both public and private DOTS facilities in Lagos State, Nigeria, are urgently needed.

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Cited by 11 publications
(7 citation statements)
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“…Seven qualitative studies explained that complicated administrative procedures at the health facilities [ 96 , 119 , 126 , 130 , 132 , 133 , 144 ], which could have resulted in longer waiting time [ 46 ], and complex referral system[ 144 ] that eventually prolonged health system delay. This review identified studies reporting that health system delays were associated with visiting lower-level facilities that did not provide TB services [ 34 , 46 , 72 , 75 , 90 ]. Six qualitative studies mentioned that inadequate resources and supplies in health facilities could have delayed TB diagnosis [ 96 , 129 , 130 , 132 , 138 , 144 ].…”
Section: Resultsmentioning
confidence: 99%
“…Seven qualitative studies explained that complicated administrative procedures at the health facilities [ 96 , 119 , 126 , 130 , 132 , 133 , 144 ], which could have resulted in longer waiting time [ 46 ], and complex referral system[ 144 ] that eventually prolonged health system delay. This review identified studies reporting that health system delays were associated with visiting lower-level facilities that did not provide TB services [ 34 , 46 , 72 , 75 , 90 ]. Six qualitative studies mentioned that inadequate resources and supplies in health facilities could have delayed TB diagnosis [ 96 , 129 , 130 , 132 , 138 , 144 ].…”
Section: Resultsmentioning
confidence: 99%
“…The socioeconomic differences in both genders also result in differential exposure to TB risk factors and TB disease progression. In low- and middle-income countries (LMICs) like Nigeria, women also have less access to health services and TB-specific services, suffer greater delays in TB detection and treatment, and suffer from atypical TB symptoms that are often overlooked by the health systems [ 3 , 6 ].…”
Section: Introductionmentioning
confidence: 99%
“…This review also identified other sociodemographic and economic risk factors for patient delay, such as being older, lower education level, unmarried, being unemployed, absence of health insurance, and high cost of treatment and transportation to health facilities (Table 2). Urban residence [24,56,58] Widowed/di vorced/ separated/n ot married [67,75] Cost of health care incurred before diagnosis [46 ] Sub-urban residence [104 ] Widowed Unemployed [35,36,39] Cost of treatment/ transport to health facilities [86] Unemployed [101] Cost of treatment/ transport to health facilities [47] No health insurance [68,72,73,81] Cost of health care incurred before diagnosis [101 , 104] Behavioral Smoking [37] Recreational drug use [61] Smoking [77] Poor TB knowledge [98] Poor TB knowledge [46,104] Nonsmoking [99] Stigma[25, 40,57] Stigma [72,83] Stigma [ TB-HIV coinfection/HIV positive [30,88] No cough [66] No history of TB [97] Smear positive [78,99] No history of TB in the family [101] Chest pain [107] No history of TB [32,…”
Section: Patient Delaymentioning
confidence: 99%
“…Seven qualitative studies identified that complicated administrative procedures at the health facilities [94,117,124,128,130,131,142], which could have resulted in longer waiting time [42], and complex referral system [142] that eventually prolonged health system delay. This review identified that visiting lower-level facilities and those that did not provide TB services [30,42,68,71,88] was associated with health system delay. Six qualitative studies mentioned inadequate resources and supplies in health facilities as such could have delayed TB diagnosis [94,127,128,130,136,142].…”
Section: Health System Delaymentioning
confidence: 99%