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Amare D, Alene KA, Ambaw F. Impact of integrating traditional care with the modern healthcare system in reducing tuberculosis diagnosis delays in Ethiopia: a clustered randomized controlled study. Trop Med Health 2024; 52:83. [PMID: 39533424 PMCID: PMC11558963 DOI: 10.1186/s41182-024-00641-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2024] [Accepted: 10/02/2024] [Indexed: 11/16/2024] Open
Abstract
BACKGROUND Diagnosis and treatment initiation delays for tuberculosis (TB) are significant challenges in resource-limited settings. These delays can result in poor treatment outcomes, disease transmission, and increased costs. This study aimed to assess the effect of integrating traditional care with modern healthcare systems on reducing TB diagnosis delay. METHODS A cluster randomized controlled trial was conducted among TB patients, with 510 participants, 255 individuals were assigned to the intervention group and 255 to the control group. Training in the intervention group was provided for both traditional and modern healthcare providers in three rounds to enhance their knowledge, attitudes, and skills in TB screening and referral. A non-parametric independent sample test was used to compare the baseline and end-line data. The effect size was determined using Cohen's d. To account for individual and cluster-level variations, a mixed-effect parametric survival model was employed. Furthermore, conditional (fixed only) and marginal (random effects) graphs were used to compare between the intervention and control groups. RESULTS A total of 510 participants were included in the baseline study, with a similar number of participants included in the endline study. In the intervention group, the delay in diagnosis was 4.185 per 1000 person-days post-intervention, compared to 4.608 per 1000 person-days pre-intervention. In the control group, the delay for diagnosis was 4.759 per 1000 person-days pre-intervention and 5.031 per 1000 person-days post-intervention. The median time to diagnosis was 135 days. The non-parametric comparison showed that the intervention significantly reduced patient delays in the intervention group compared to the control group (p = 0.006), with a Cohen's d effect size of 0.246. The intervention also significantly reduced diagnosis delay in the intervention group compared to the control group (p = 0.036), with a Cohen's d effect size of 0.187. The diagnosis of TB was accelerated by 1.076 times due to the integration of traditional care with the modern healthcare system in the intervention group compared to the control group (δ: 1.076; 95% CI 1.021, 1.134). CONCLUSIONS The involvement of traditional care providers in TB control programs significantly reduced diagnosis delays in Ethiopia. These findings suggest the need for integrating traditional care with modern healthcare systems for the effective prevention of TB in high-burden countries. Clinical trial registration ClinicalTrials.gov ID: NCT05236452.
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Affiliation(s)
- Desalegne Amare
- School of Health Sciences, College of Medicine and Health Sciences, Bahir Dar University, P. O. Box: 6180/79, Bahir Dar, Ethiopia.
| | - Kefyalew Addis Alene
- School of Population Health, Curtin University, in Bentley, Perth, WA, Australia
- Geospatial and Tuberculosis Research Team, Telethon Kids Institute, in Bentley, Perth, WA, Australia
| | - Fentie Ambaw
- School of Public Health, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia
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Fetensa G, Wirtu D, Etana B, Wakuma B, Tolossa T, Gugsa J, Gobena D, Fekadu G, Ragasa MT, Ejeta E. Tuberculosis treatment delay and contributing factors within tuberculosis patients in Ethiopia: A systematic review and meta-analysis. Heliyon 2024; 10:e28699. [PMID: 38586418 PMCID: PMC10998239 DOI: 10.1016/j.heliyon.2024.e28699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 03/19/2024] [Accepted: 03/22/2024] [Indexed: 04/09/2024] Open
Abstract
Background Tuberculosis (TB) is a significant public health disease and a major contributor to illness and death worldwide, including in Ethiopia. There are many information from first source which had inconclusive result in Ethiopia. Therefore, this review aimed to produce pooled evidence on the TB treatment delay and factors associated with it. Methods The absence of a similar study with a systematic review and meta-analysis was confirmed. Articles from online available and unpublished sources conducted within Ethiopia between 2002 and 2024, were thoroughly screened using electronic sources such as Medline, Embase, Hinari, PubMed, the Cochrane Library, the Web of Science, and Google Scholar. Data analysis was performed using STATA version 14. Heterogeneity was assessed using Inverse of Variance (I2) and Cochrane Q tests. The funnel plot was employed to rule existence of publications subjectively while bias was checked using Egger's statistical method to quantify the bias. Result Prevalence of TB treatment delay in Ethiopia was 50.42% at 95% (43.21, 57.64). Factors such as knowledge about TB, distance to health facilities less than 10 km, initial contact at a government service providing center for TB, having some educations, having pulmonary Tuberculosis, urban residency, were prtotective towards treatment delay. Female in gender, no chest pain symptom, disease severity with no restriction on daily activity, alcohol drinkers, and unmarried respondents were at higher risk to miss on time tuberculosis treatment. Conclusion and recommendation The tuberculosis treatment delay in Ethiopia was considerably unexpected and basic personal variables and facility related variables were statistically associated with treatment. Therefore, Ethiopian TB control programs have to recognize and tackle the problem, obstacles, and vulnerability across the continuum patient care taking down and connecting to treatment post-diagnosis. This can be achieved by capacitating both government and non-governmental service provision centers and minimizing unfilled difference across professional awareness and skill, which will contribute further to minimizing delay.
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Affiliation(s)
- Getahun Fetensa
- Department of Nursing, School of Nursing and Midwifery, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia
- Department of Health, Behavior, and Society, Faculty of Public Health, Institute of Health, Jimma University, Jimma, Ethiopia
| | - Dessalegn Wirtu
- Department of Public Health, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia
| | - Belachew Etana
- Department of Public Health, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia
| | - Bizuneh Wakuma
- Department of Nursing, School of Nursing and Midwifery, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia
| | - Tadesse Tolossa
- Department of Public Health, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia
- Deakin Health Economics, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, VIC, Australia
| | - Jilcha Gugsa
- Oromia Physician Association, Addis Ababa, Ethiopia
- Batu General Hospital, Oromia Regional Health Bureau, Addis Ababa, Ethiopia
| | - Dabesa Gobena
- Public Health Emergency Management and Health Research Directorate, Oromia Health Bureau, Addis Ababa, Ethiopia
- School of Medical Laboratory Science, Institute of Health, Jimma University, Jimma, Ethiopia
| | - Ginenus Fekadu
- Department of Pharmacy, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia
| | - Misganu Teshoma Ragasa
- Department of Midwifery, School of Nursing and Midwifery, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia
| | - Eshetu Ejeta
- Department of Pharmacy, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia
- Department of Public Health, Ambo University, Ambo, Ethiopia
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Supehia S, Singh M, Bahurupi Y, Aggarwal P, Chandra R, Sharma N. The Extent of Delay in Diagnosis, Treatment and their Associated Factors among Tuberculosis Patients Attending Government Hospitals of Rishikesh, Uttarakhand: A Cross-Sectional Study. RECENT ADVANCES IN ANTI-INFECTIVE DRUG DISCOVERY 2024; 19:137-147. [PMID: 37198982 DOI: 10.2174/2772434418666230517151828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 03/29/2023] [Accepted: 04/04/2023] [Indexed: 05/19/2023]
Abstract
BACKGROUND "Tuberculosis (TB) remains a major public health problem" worldwide, affecting almost all age groups. "Early diagnosis and prompt treatment are essential to significantly reducing the TB burden." However, a significant proportion of cases remain undiagnosed and untreated, which plays a vital role in the transmission of the disease and severity of the illness in the community in most developing countries. AIMS & OBJECTIVES This study aimed to assess "the extent of delay in diagnosis and treatment of TB patients" and to identify the major factors associated with such delays (whether patient or health system-related) among TB patients in Rishikesh. METHODS This descriptive cross-sectional study was conducted in Rishikesh Town, Dehradun District, Uttara khand, India. Total of 130 newly diagnosed TB patients were recruited as study participants who attended the government hospitals of Rishikesh, All India Institute of Medical Sciences, Rishikesh and S P S Government Hospital, Rishikesh. A universal sampling technique was used in this study. RESULTS The mean age of the study participant was 36.75 (Standard Deviation (SD), 17.6), and the median age was 34 years. Of the patients, 64.6% were men, and 35.4% were women. The extent of various delays, such as patient delay (median 16 days), diagnostic delay (median 78.5 days), treatment delay (median 4 days), health system delay (43 days), and total delay (median 81 days). CONCLUSION The misconception of any chronic disease may lead to a false diagnosis or long treatment for symptomatic relief; the absence of proper diagnostic tests and doctor shopping could be the reasons for the prolonged diagnostic delay. Therefore, by strengthening the collaboration between private and public practitioners in order to meet the expectations of the Government of India to achieve the goals of the "National Strategic Plan for ending TB" in India by providing good quality care for all patients.
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Affiliation(s)
- Sakshi Supehia
- Department of Community Medicine, Dr. Rajendra Prasad Government Medical College, Kangra, Himachal Pradesh, India
| | - Mahendra Singh
- Department of Community and Family Medicine, All India Institute of Medical Sciences, Rishikesh, India
| | - Yogesh Bahurupi
- Department of Community and Family Medicine, All India Institute of Medical Sciences, Rishikesh, India
| | - Pradeep Aggarwal
- Department of Community and Family Medicine, All India Institute of Medical Sciences, Rishikesh, India
| | - Rishita Chandra
- School of Medicine, University of Tasmania, Tasmania, Australia
| | - Nandita Sharma
- Department of Community and Family Medicine, All India Institute of Medical Sciences, Rishikesh, India
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