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1.
Ethiop J Health Sci ; 33(1): 115-122, 2023 Jan.
Article in English | MEDLINE | ID: mdl-36890941

ABSTRACT

Background: Indonesia's national Tuberculosis (TB) strategy is public-private mix (PPM). The PPM aims to treat patients who have lost sight during TB treatment as these patients are TB carriers and at risk of transmitting TB. The purpose of this study was to identify predictive factors for loss to follow-up (LFTU) among TB patients receiving treatment when the PPM was at place in Indonesia. Methods: The design of this study was a retrospective cohort study. The data used in this study was sourced from the Tuberculosis Information System (SITB) of Semarang which was recorded routinely during 2020-2021. Univariate analysis, crosstabulation, and logistic regression were performed on 3434 TB patients meeting the minimum variables. Results: The participation of health facilities in reporting TB during the PPM era in Semarang reached 97.6% consisting of 37 primary healthcare center (100%), 8 public hospitals (100%), 19 private hospitals (90.5%), and a community-based pulmonary health center (100%). The regression analysis reveal that the predictive factors of LTFU-TB during the PPM are the year of diagnosis (AOR=1.541; p-value=<0.001; 95% CI=1.228-1.934), referral status (AOR=1.562, p-value=0.007; 95% CI=1.130-2160), healthcare and social security insurance ownership (AOR=1.638; p-value=<0.001; 95% CI=1.263-2.124), drugs source (AOR=4.667; p-value=0.035; 95% CI=1.117-19.489). Conclusions: The PPM strategy in dealing with LTFU patients should focus on TB patients without Healthcare and Social Security Insurance and who receive TB treatment rather than program drugs.


Subject(s)
Lost to Follow-Up , Tuberculosis , Humans , Retrospective Studies , Indonesia , Tuberculosis/drug therapy , Tuberculosis/diagnosis , Delivery of Health Care
2.
Ethiop J Health Sci ; 32(4): 809-816, 2022 Jul.
Article in English | MEDLINE | ID: mdl-35950061

ABSTRACT

Background: Opportunistic infection (OI) is the most significant complication of the human immunodeficiency virus (HIV). Differences in the characteristics of HIV patients make the prevalence of Opportunistic infection different between regions. The study aimed to identify variables associated with OI incidence among HIV-infected patients in Semarang City, Indonesia. Methods: This study uses secondary data sourced from special HIV surveillance for 2019-2021 with a cross-sectional method. 1362 HIV patients with variables health care facilities; year of diagnosis; area of residence; age; sex; pregnancy status; occupation; risk factors; risk group determined based on purposive sampling were included in the chi-square analysis and logistic regression. Results: This study showed 12.3% (n=167) of HIV patients experienced OI, where OI was more common in HIV patients with risk groups of sex workers (28.70%), high-risk partners (18.60%), and Male Sex with Men (MSM) (15.40). The most common types of OI were tuberculosis infection (43%), candidiasis (21%), and diarrhea (9%). Age was the variable most associated with the incidence of OI (p-value 0.001). Conclusions: Age groups 45-54 years and 55-64 years have the most influential association with Opportunistic infection incidence in HIV patients, so planning an appropriate intervention program for this subpopulation is necessary.


Subject(s)
AIDS-Related Opportunistic Infections , HIV Infections , Sexual and Gender Minorities , AIDS-Related Opportunistic Infections/epidemiology , AIDS-Related Opportunistic Infections/etiology , Cross-Sectional Studies , Female , HIV Infections/complications , HIV Infections/epidemiology , Homosexuality, Male , Humans , Male , Middle Aged , Pregnancy , Prevalence
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