Dataset Information

Factors associated with patient and health care system delay in diagnosis for tuberculosis in the province of Luanda, Angola.

ABSTRACT:

Background

Tuberculosis (TB) is still a great challenge to public health in sub-Saharan Africa. Most transmissions occur between the onset of coughing and initiation of treatment. Delay in diagnosis is significant to disease prognosis, thus early diagnosis and prompt effective therapy represent the key elements in controlling the disease. The objective of this study was to investigate the factors influencing the patient delay and the health system delay in TB diagnosis in Angola.

Methods

On a cross-sectional study, 385 TB patients who visited 21 DOTS clinics in Luanda were included consecutively. The time from the onset of symptoms to the first consultation of health providers (patients' delay) and the time from the first consultation to the date of diagnosis (health system's delay) were analysed. Bivariate and logistics regression were applied to analyse the risk factors of delays.

Results

The median total time elapsed from the onset of symptoms to diagnosis was 45 days (interquartile range [IQR]: 21-97 days). The median patient delay was 30 days (IQR: 14-60 days), and the median health care system delay was 7 days (IQR: 5-15 days). Primary education (AOR = 1.75; CI [95%] 1.06-2.88; p <0.029) and the health centre of the first contact differing from the DOTS centre (AOR = 1.66; CI [95%] 1.01-2.75; p <0.046) were independent risk factors for patient delay >4 weeks. Living in a suburban area (AOR = 2,32; CI [95%] 1.21-4.46; p = 0.011), having a waiting time in the centre >1 hour (AOR = 4.37; CI [95%] 1.72-11.14; p = 0.002) and the health centre of the first contact differening from the DOTS centre (AOR = 5.68; CI [95%] 2.72-11,83; p < 0,00001) were factors influencing the system delay.

Conclusions

The results indicate that the delay is principally due to the time elapsed between the onset of symptoms and the first consultation. More efforts should be placed in ensuring the availability of essential resources and skills in all healthcare facilities other than the DOTS centres, especially those located in suburban areas.

SUBMITTER: Segagni Lusignani L

PROVIDER: S-EPMC3637285 | biostudies-literature | 2013 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Factors associated with patient and health care system delay in diagnosis for tuberculosis in the province of Luanda, Angola.

Segagni Lusignani Luigi L Quaglio Gianluca G Atzori Andrea A Nsuka Joseph J Grainger Ross R Palma Maria Da Conceiçao Mda C Putoto Giovanni G Manenti Fabio F

BMC infectious diseases 20130408

<h4>Background</h4>Tuberculosis (TB) is still a great challenge to public health in sub-Saharan Africa. Most transmissions occur between the onset of coughing and initiation of treatment. Delay in diagnosis is significant to disease prognosis, thus early diagnosis and prompt effective therapy represent the key elements in controlling the disease. The objective of this study was to investigate the factors influencing the patient delay and the health system delay in TB diagnosis in Angola.<h4>Meth ...[more]

PMID: 23566166

Similar Datasets

Project description:With the lack of surveys, surveillance program and/or statistical data, epidemiologic studies can provide a better understanding of diabetes in Sub-Saharan Africa. This was a cross-sectional survey to determine prevalence of diabetes and impaired fasting glucose (IFG) among adults attending six health centres in six different districts of Luanda (Angola) during August-November 2018, followed by a case-control study to assess the risk factors for IFG and diabetes in a subgroup of subjects not receiving treatment for diabetes. Factors associated with diabetes/IFG were assessed using a generalized ordered logit model and the effects were expressed as odds ratios (OR1 for IFG/diabetes vs. no IFG/diabetes; OR2 for diabetes vs. no diabetes) with 95% CI (confidence interval). Some 1,803 participants were included in the survey. Prevalence of diabetes was 12.0% (95%CI 10.5% to 13.5%) and prevalence of IFG was 9.0% (95%CI 7.7% to 10.4%). Older age (OR1 = OR2 1.03, 95%CI 1.02 to 1.04), higher weight (OR1 = OR2 1.01, 95%CI 1.01 to 1.03), having measured glycaemia before (OR2 2.07, 95%CI 1.29 to 3.31), feeling polyuria (OR1 1.93, 95%CI 1.13 to 3.28; OR2 2.18, 95%CI 1.32 to 3.59), feeling polydipsia (OR1 1.92, 95%CI 1.16 to 3.18), feeling weakness (OR1 = OR2 2.22, 95%CI 1.39 to 3.55), consumption of free-sugars food/beverages (OR1 = OR2 2.34, 95%CI 1.44 to 3.81) and time spent seated (OR1 1.80, 95%CI 1.17 to 2.76) were associated with increased likelihood of diabetes and/or IFG, while eating vegetables was associated with decreased likelihood of IFG or diabetes (OR1 = OR2 0.69, 95%CI 0.47 to 0.99). In conclusion, the high prevalence of diabetes and IFG, with common unawareness of the disease, calls for appropriate interventions in Angolan urban settings. Further research may evaluate the impact of context-specific factors to enhance intervention strategies and feed the results into local health policies. In addition, such information may be useful for selecting high-risk subjects to test.

Project description:Abstract Background Survivors of childhood bacterial meningitis (BM) from low-income countries are at increased risk of sequelae. How BM survivors’ daily life is affected in the developing world, is not known. We aimed to investigate the quality of life among pediatric survivors of BM in Luanda, Angola assessing both physical and psychosocial health-related quality of life (HRQOL). Methods Survivors from two BM treatment trials (ISRCTN62824827; NCT01540838) from Luanda Children’s Hospital were called to follow-up visits in January 2017 with a median duration of 26 months after BM. We administered Pediatric Quality of Life InventoryTM (PedsQLTM) 4.0 Generic Core Scales and Infant Scales, designed to measure HRQOL in children, to patients and/or parents. The generic core scales were administered to 64 and 32 families, and the infant scores to 8 and 3 care-givers of patients and controls, respectively. We used age-appropriate versions of the scales. We calculated the total, physical and psychosocial HRQOL domains. To determine internal consistency, Cronbach’s alpha coefficients were calculated for generic score scales. Results In all, 73 survivors of BM and 36 control children participated. 18 (51%) of controls were siblings of survivors; others visited the hospital for vaccinations. The median age of children was 6 years (81 months, IQR 85 months). Survivors of BM scored significantly lower on the PedsQLTM 4.0 generic core and infant scales than control children according to parent proxy reports indicating lower HRQOL (total score 81.04 vs. 91.30, P = 0.001; physical health 87.50 vs. 100.00, P = 0.0002; psychosocial health 79.06 vs. 90.00, P = 0.001). Child self-report scores were also lower within BM survivors who were able to answer; however, the difference was not statistically significant. In total sample of survivors, the Cronbach’s alphas reached sufficient reliability of 0.70 in all three domains calculated (total score, ?=0.79; physical health ?= 0.77; psychosocial health ?= 0.89 for child self-reports and ?=0.91, ?=0.91, and ?=0.84 for parent proxy-reports, respectively). Conclusion The survivors of pediatric BM endure a clearly suboptimal quality of life compared with siblings and other control children. HRQOL can be measured reliably among BM patients in developing country setting. Disclosures All authors: No reported disclosures.

Project description:BackgroundIn the face of the rising burden of non-communicable diseases like diabetes mellitus (DM) and hypertension in sub-Saharan Africa, where infectious diseases like Tuberculosis (TB) are still endemic, the double burden of communicable and non-communicable diseases appears to be increasing rapidly. However, the size of the problem and what is the proper health system approach to deal with the double burden is still unclear. The aim of this project was to estimate the double burden of DM hypertension and TB and to pilot the integration of the screening for DM and hypertension in the TB national programs in six TB centers in Luanda, Angola.MethodsAll newly diagnosed pulmonary TB (PTB) patients accessing six directly observed treatment (DOT) centers in Luanda were screened for diabetes and hypertension. TB diagnosis was made clinically and/or with sputum microscopy DM diagnosis was made through estimation of either fasting plasma glucose (FPG) (considered positive if ? 7?0mmol/l) or random plasma glucose (considered positive if ? 11?1mmol/l). Uncontrolled hypertension was defined as systolic blood pressure (SBP) of ? 140 mm of Hg and/or diastolic blood pressure (DBP) of ? 90 mm of Hg, irrespective of use of antihypertensive drug.ResultsBetween January 2015 and December 2016, a total of 7,205 newly diagnosed patients with PTB were included in the analysis; 3,598 (49?9%) were males and 3,607 females. Among 7,205 PTB patients enrolled, blood pressure was measured in 6,954 and 1,352 (19?4%) were found to have uncontrolled hypertension, more frequently in females (23%) compared to males (16%). In multivariate logistic regression analysis uncontrolled hypertension was associated with increasing age and BMI and ethnic group. The crude prevalence of DM among TB patients was close to 6%, slightly higher in males (6?3%) compared to females (5?7%). Age adjusted prevalence was 8%. Impaired fasting glucose (>6?1 to <7?0 mmol/L) was detected in 414 patients (7%). In multivariate logistic regression analysis DM prevalence was higher in males and increased with increasing age and BMI.InterpretationTB patients have a considerable hypertension and diabetes co-morbidity. It is possible to screen for these conditions within the DOTs centres. Integration of health services for both communicable and non-communicable diseases is desirable and recommended.

Project description:BACKGROUND:Delay in the diagnosis of Tuberculosis (TB) remains a major challenge against achieving effective TB prevention and control. Though a number of studies with inconsistent findings were conducted in Ethiopia; unavailability of a nationwide study determining the median time of patient delays to TB diagnosis is an important research gap. Therefore, this study aimed to determine the pooled median time of the patient delay to TB diagnosis and its determinants in Ethiopia. METHODS:We followed PRISMA checklist to present this study. We searched from Google Scholar, PubMed, Science Direct, Web of Science, CINAHL, and Cochrane Library databases for studies. The comprehensive search for relevant studies was done by two of the authors (MA and LY) up to the 10th of October 2019. Risk of bias was assessed using the Newcastle-Ottawa scale adapted for observational studies. Data were pooled and a random effect meta-analysis model was fitted to provide the overall median time of patient delay and its determinants in Ethiopia. Furthermore, subgroup analyses were conducted to investigate how the median time of patient delay varies across different groups of studies. RESULTS:Twenty-four studies that satisfied the eligibility criteria were included. Our meta-analysis showed that the median time of the patient delay was 24.6 (95%CI: 20.8-28.4) days. Living in rural area (OR: 2.19, 95%CI: 1.51-3.18), and poor knowledge about TB (OR: 2.85, 95%CI: 1.49-5.47) were more likely to lead to prolonged delay. Patients who consult non-formal health providers (OR: 5.08, 95%CI: 1.56-16.59) had a prolonged delay in the diagnosis of TB. Moreover, the narrative review of this study showed that age, educational level, financial burden and distance travel to reach the nearest health facility were significantly associated with a patient delay in the diagnosis of TB. CONCLUSIONS:In conclusion, patients are delayed more-than three weeks in the diagnosis of TB. Lack of awareness about TB, consulting non-formal health provider, and being in the rural area had increased patient delay to TB diagnosis. Increasing public awareness about TB, particularly in rural and disadvantaged areas could help to early diagnosis of TB.

Dataset Information

Factors associated with patient and health care system delay in diagnosis for tuberculosis in the province of Luanda, Angola.

Background

Methods

Results

Conclusions

Publications

Factors associated with patient and health care system delay in diagnosis for tuberculosis in the province of Luanda, Angola.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets