Dataset Information

Is depression associated with pathways to care and diagnosis delay in people with tuberculosis in Ethiopia?

ABSTRACT:

Background

Co-morbid depression is common in people with tuberculosis (TB). Symptoms of depression (low energy, impaired concentration, decreased motivation and hopelessness) may affect help-seeking; however, this impact has not been studied so far. The objectives of this study were to assess the impact of co-morbid depression on diagnostic delay, pathways to care, and to identify if it mediates other factors associated with diagnostic delay.

Methods

We analyzed cross-sectional data collected from 592 adults with newly diagnosed TB. We assessed probable depression using Patient Health Questionnaire, nine items (PHQ-9) at a cut-off 10. Data on diagnosis delay, pathways to TB care, socio-demographic variables, stigma, types of TB, substance use, co-morbid chronic illnesses, and perception about TB were assessed using a structured questionnaire. Generalized structural equation modelling was used to analyze the data.

Results

A total of 313 (52.9%) participants had probable depression. Pathway to TB care was direct for 512 (86.5%) of the participants and indirect for 80 (13.5%) of them. The median diagnosis delay was 12.0 weeks. Depression did not have a statistically significant association with pathways to TB care (? = -0.45; 95% CI-1.85 to 0.96) or diagnostic delay [adjusted odds ratio (AOR) = 0.90; 0.77-1.06]. Indirect pathway to TB care was positively associated with diagnosis delay (AOR = 2.72; 95% CI 1.25-5.91).

Conclusions

People with TB who had co-morbid probable depression visited the modern health care as directly as and as soon as those without co-morbid depression. How socio-demographic factors influence pathways to care and diagnosis delay require qualitative exploration.

SUBMITTER: Ambaw F

PROVIDER: S-EPMC6737587 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Is depression associated with pathways to care and diagnosis delay in people with tuberculosis in Ethiopia?

Ambaw F F Mayston R R Hanlon C C Alem A A

Global mental health (Cambridge, England) 20190823

<h4>Background</h4>Co-morbid depression is common in people with tuberculosis (TB). Symptoms of depression (low energy, impaired concentration, decreased motivation and hopelessness) may affect help-seeking; however, this impact has not been studied so far. The objectives of this study were to assess the impact of co-morbid depression on diagnostic delay, pathways to care, and to identify if it mediates other factors associated with diagnostic delay.<h4>Methods</h4>We analyzed cross-sectional da ...[more]

PMID: 31531229

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Project description:BackgroundDelayed presentation is a major problem contributing to the high burden and transmission of tuberculosis (TB) in developing countries. The delay may be due to patient delay if the patient visits health-facility for diagnosis after the onset of symptoms of more than 3 weeks or health system delay if the patient is not diagnosed and treated at the time of the first visit. Ethiopia, where no more than two-thirds of TB cases are detected is no exception. Therefore, the aim of this study was to assess delay in diagnosis of tuberculosis among patients taking anti-TB treatment in North Shoa Zone, Ethiopia.MethodsInstitution based cross-sectional study was conducted from 01 to 30 December 2017. All TB patients who took their treatment in the health facilities of the seven selected districts of North Shoa Zone were included. Data was entered into EPI INFO version 3.5.1 statistical software and transferred into SPSS version 20.0 for further analysis. Bivariate and multivariate analysis was used to identify associated factors for delayed TB diagnosis.ResultsOut of 170 tuberculosis patients included, 162 patients were studied with a response rate of 95.3%. The proportion of tuberculosis patients who had delayed diagnosis was 59.9%. The mean time of health-seeking after developing the symptom of tuberculosis was 7.6 weeks. Tuberculosis patients with extra pulmonary site involvements were about four times more likely to be delayed in seeking health services (OR: 4.00, 95% CI: 1.77-9.03) as compared to patients with pulmonary TB. New patients were about three times more likely to come lately for TB diagnosis (OR: 2.94, 95% CI: 1.26-6.84) as compared to patients who had previous-history of treatment. Patients who had no information about TB before they started TB treatment were also around three times to be delayed (OR: 3.37, 95% CI: 1.43-8.00) as compared to those who had the information.ConclusionsMore than 50% of TB patients reported in health-seeking relatively a longer time. Strengthening the health education activities for the community about tuberculosis and capacity building of the health care provider to increase suspicion of identifying tuberculosis and early diagnosis is crucial.

Project description:BackgroundDelay 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.MethodsWe 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.ResultsTwenty-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.ConclusionsIn 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.

Project description:BACKGROUND:Delay in diagnosis and treatment of pulmonary tuberculosis (PTB) leads to severe disease, adverse outcomes and increased transmission. Assessing the extent of delay and its effect on disease progression in TB affected settings has clinical and programmatic importance. Hence, the aim of this study was to investigate the possible effect of delay on infectiousness (cavitation and smear positivity) of patients at diagnosis in Somali pastoralist area, Ethiopia. METHODS:A cross-sectional study was conducted between December 2017 and October 2018, and 434 newly coming and confirmed PTB patients aged ≥15 years were recruited in five facilities. Data were collected using interview, record-review, anthropometry, Acid-fast bacilli and chest radiography techniques. Log-binomial regression models were used to reveal the association of delay and other factors associated with cavitation and smear positivity, and ROC Curve was used to determine discriminative ability and threshold delays. RESULTS:Median age of patients was 30 years. Of all, 62.9% were males, and 46.5% were pastoralists. Median diagnosis delay was 49 days (IQR = 33-70). Cavitation was significantly associated with diagnosis delay [P < 0.001]; 22.2% among patients diagnosed within 30 days of illness and 51.7% if delay was over 30 days. The threshold delay that optimizes cavitation was 43 days [AUC (95% CI) = 0.67(0.62-0.72)]. Smear positivity was significantly increased in patients delayed over 49 days [p = 0.02]. Other factors associated with cavitation were age ≤ 35 years [APR (95% CI) =1.3(1.01-1.6)], chronic diseases [APR (95% CI) = 1.8(1.2-2.6)] and low MUAC*female [APR (95% CI) = 1.8(1.2-2.8)]. Smear positivity was also associated with age ≤ 35 years [APR (95% CI) =1.4(1.1-1.8)], low BMI [APR (95% CI) =1.3(1.01-1.7)] and low MUAC [APR (95% CI) =1.5(1.2-1.9)]. CONCLUSION:This study highlights delay in diagnosis of pulmonary TB remained high and increased infectiousness of patients in pastoral settings of Ethiopia. Hence, delay should be targeted to improve patient outcomes and reduce transmission in such settings.

Project description:BackgroundTuberculosis (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.MethodsOn 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.ResultsThe 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.ConclusionsThe 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.

Project description:BackgroundThe main target of tuberculosis control and prevention is to detect incident cases as quickly as possible and also to prevent the occurrence of disease. It is also the responsibility of the health facility to screen the contacts, identifying children for prophylactic therapy. However, the target is difficult to meet due to issues within health facilities that cause health system diagnostic delays. Despite this, there is no information explored why health system diagnostic delays among tuberculosis patients.MethodA qualitative study was conducted by using different data collection methods and sources. Seventeen DOT providers, five laboratory professionals, six program managers, and seven Tuberculosis patients were interviewed. In addition, 22 governmental health facilities were observed for the availability of resources. Data obtained from the in-depth interviews was transcribed, coded, categorized, and thematized manually.ResultHealth system Diagnosis delays reasons were related with sample collection procedures, poor competency of health professionals, in addition to absences or scarcity of health professionals, medical products, and basic infrastructure. We found 18 health facilities without skilled personnel in the OPD, 7 health facilities with a broken microscope, and almost all health facilities without a separate room for sputum examination. Furthermore, 12 (54.5%) and 14 (63.6%) health facilities lacked access to water and electric power, respectively.ConclusionMany reasons for TB diagnosis delays have been identified in the study area. Poor competence of health workers and scarcity of resources were identified. Depending on the finding, we suggest strengthening the health workers' training. Concrete strategies need to be designed to retain professionals. Training on human resource planning and budget preparation is needed for front-line managers. Managers have to work on the maintenance of diagnostic tools and facilitate transportation. The rural health facilities need to use another alternative power source.

Project description:BackgroundDelayed treatment initiation of Tuberculosis patients results in increased infectivity, poor treatment outcome, and increased mortality. However, there is a paucity of evidence on the delay in new adult pulmonary Tuberculosis patients to initiate treatment in Tigray, Northern Ethiopia.ObjectiveTo assess the factors associated with treatment initiation delay among new adult pulmonary tuberculosis patients in Tigray, Northern Ethiopia.MethodsThe study design was cross-sectional. A total of 875 new adult pulmonary tuberculosis patients were recruited from 21 health facilities from October 2018 to October 2019. Health facilities were selected by simple random sampling technique and tuberculosis cases from the health facilities were consecutively enrolled. Data were collected using structured questionnaire within the first 2 weeks of treatment initiation. Delay was categorized as patient, health system and total delays. Data were analyzed using SPSS version 21 and logistic regression was used to identify factors associated with the odds of delays to initiate treatment. A p-value of less than 0.05 was reported as statistically significant.ResultsThe median patient, health system and total delays were 30, 18 and 62 days, respectively. Rural residence, being poor, visiting non-formal medication sources, being primary health care and the private clinic had higher odds of patient delay whereas being HIV positive had lower odds of patient delay. Illiteracy, first visit to primary health care and private clinic had higher odds of health system delay whereas a visit to health facility one time and have no patient delay had lower odds of health system delay.ConclusionThe median patient delay was higher than the median health system delay before initiating treatment. Hence, improved awareness of the community and involving the informal medication sources in the tuberculosis pathways would reduce patient delay. Similarly, improved cough screening and diagnostic efficiency of the lower health facilities would shorten health system delay.

Project description:BackgroundDelayed diagnosis and treatment of tuberculosis (TB) results in severe disease and a higher mortality. It also leads to an increased period of infectivity in the community. The objective of this study was to determine the length of delays, and analyze the factors affecting the delay from onset of symptoms of pulmonary tuberculosis (PTB) until the commencement of treatment.MethodsIn randomly selected TB management units (TBMUs), i.e. government health institutions which have diagnosing and treatment facilities for TB in Amhara Region, we conducted a cross sectional study from September 1-December 31/2003. Delay was analyzed from two perspectives, 1. Period between onset of TB symptoms to first visit to any health provider (health seeking period), and from the first health provider visit to initiation of treatment (health providers' delay), and 2. Period between onset of TB symptoms to first visit to a medical provider (patients' delay), and from this visit to commencement of anti-TB treatment (health systems' delay). Patients were interviewed on the same date of diagnosis using a semi-structured questionnaire. Logistics regression analysis was applied to analyze the risk factors of delays.ResultsA total of 384 new smear positive PTB patients participated in the study. The median total delay was 80 days. The median health-seeking period and health providers' delays were 15 and 61 days, respectively. Conversely, the median patients' and health systems' delays were 30 and 21 days, respectively. Taking medical providers as a reference point, we found that forty eight percent of the subjects delayed for more than one month. Patients' delays were strongly associated with first visit to non-formal health providers and self treatment (P < 0.0001). Prior attendance to a health post/clinic was associated with increased health systems' delay (p < 0.0001).ConclusionDelay in the diagnosis and treatment of PTB is unacceptably high in Amhara region. Health providers' and health systems' delays represent the major portion of the total delay. Accessing a simple and rapid diagnostic test for TB at the lowest level of health care facility and encouraging a dialogue among all health providers are imperative interventions.

Dataset Information

Is depression associated with pathways to care and diagnosis delay in people with tuberculosis in Ethiopia?

Background

Methods

Results

Conclusions

Publications

Is depression associated with pathways to care and diagnosis delay in people with tuberculosis in Ethiopia?

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