Joseph N Chukwu, Cosmas Kenan Onah, Edmund Ndudi Ossai, Charles C Nwafor, Chukwuka Alphonsus, Okechukwu E Ezeakile, Ngozi Murphy-Okpala, Chinwe C Eze, Obioma Chijioke-Akaniro, Anthony Meka, Martin I Njoku, Francis S Iyama, Ngozi Ekeke
{"title":"通过主动寻找病例改进结核病病例检测:在尼日利亚南部难以到达的沿河地区采取多种干预策略的结果。","authors":"Joseph N Chukwu, Cosmas Kenan Onah, Edmund Ndudi Ossai, Charles C Nwafor, Chukwuka Alphonsus, Okechukwu E Ezeakile, Ngozi Murphy-Okpala, Chinwe C Eze, Obioma Chijioke-Akaniro, Anthony Meka, Martin I Njoku, Francis S Iyama, Ngozi Ekeke","doi":"10.9745/GHSP-D-23-00164","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>A major challenge to TB control globally is low case detection, largely due to routine health facility-based passive case-finding employed by national TB control programs. Active case-finding is a risk-population-based screening approach that has been established to be effective in TB control. This intervention aimed to increase TB case detection in hard-to-reach areas in southern Nigeria.</p><p><strong>Methods: </strong>Using a descriptive cross-sectional design, we conducted implementation research in 15 hard-to-reach riverine local government areas with historically recognized low TB case notification rates. Individuals with TB symptoms were screened using multiple strategies. Data were collected quarterly over a 4-year period using reporting tools and checklists. Descriptive analysis was done with Microsoft Excel spreadsheet 2019.</p><p><strong>Results: </strong>A total of 1,089,129 individuals were screened: 16,576 in 2017; 108,102 in 2018; 697,165 in 2019; and 267,286 in 2020. Of those screened, 24,802 (2.3%) were identified as presumptive TB, of which 88.8% were tested and 10% were diagnosed with TB (0.23% of those screened). TB notifications more than doubled, increasing by 183.3% and 137.5% in the initial implementation and scale-up, respectively. On average, 441 individuals needed to be screened to diagnose 1 TB case. The cases, predominantly males (56.1%) and aged 15 years and older (77.4%), comprised 71.9% bacteriologically confirmed drug-sensitive TB, 25.8% clinically diagnosed drug-sensitive TB, and 2.3% drug-resistant cases. Detection sources included community outreach (1,786), health facilities (505), people living with HIV (57), and household contacts of bacteriologically confirmed TB cases (123). Remarkably, 98.1% of diagnosed TB cases commenced treatment.</p><p><strong>Conclusions: </strong>We found a significant yield in TB case notifications, more than doubling the baseline figures. Given these successful results, we recommend prioritizing resources to support active case-finding strategies in national programs, especially in hard-to-reach areas with high-risk populations, to address TB more comprehensively.</p>","PeriodicalId":12692,"journal":{"name":"Global Health: Science and Practice","volume":" ","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10906553/pdf/","citationCount":"0","resultStr":"{\"title\":\"Improving TB Case Detection Through Active Case-Finding: Results of Multiple Intervention Strategies in Hard-to-Reach Riverine Areas of Southern Nigeria.\",\"authors\":\"Joseph N Chukwu, Cosmas Kenan Onah, Edmund Ndudi Ossai, Charles C Nwafor, Chukwuka Alphonsus, Okechukwu E Ezeakile, Ngozi Murphy-Okpala, Chinwe C Eze, Obioma Chijioke-Akaniro, Anthony Meka, Martin I Njoku, Francis S Iyama, Ngozi Ekeke\",\"doi\":\"10.9745/GHSP-D-23-00164\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>A major challenge to TB control globally is low case detection, largely due to routine health facility-based passive case-finding employed by national TB control programs. Active case-finding is a risk-population-based screening approach that has been established to be effective in TB control. This intervention aimed to increase TB case detection in hard-to-reach areas in southern Nigeria.</p><p><strong>Methods: </strong>Using a descriptive cross-sectional design, we conducted implementation research in 15 hard-to-reach riverine local government areas with historically recognized low TB case notification rates. Individuals with TB symptoms were screened using multiple strategies. Data were collected quarterly over a 4-year period using reporting tools and checklists. Descriptive analysis was done with Microsoft Excel spreadsheet 2019.</p><p><strong>Results: </strong>A total of 1,089,129 individuals were screened: 16,576 in 2017; 108,102 in 2018; 697,165 in 2019; and 267,286 in 2020. Of those screened, 24,802 (2.3%) were identified as presumptive TB, of which 88.8% were tested and 10% were diagnosed with TB (0.23% of those screened). TB notifications more than doubled, increasing by 183.3% and 137.5% in the initial implementation and scale-up, respectively. On average, 441 individuals needed to be screened to diagnose 1 TB case. The cases, predominantly males (56.1%) and aged 15 years and older (77.4%), comprised 71.9% bacteriologically confirmed drug-sensitive TB, 25.8% clinically diagnosed drug-sensitive TB, and 2.3% drug-resistant cases. Detection sources included community outreach (1,786), health facilities (505), people living with HIV (57), and household contacts of bacteriologically confirmed TB cases (123). Remarkably, 98.1% of diagnosed TB cases commenced treatment.</p><p><strong>Conclusions: </strong>We found a significant yield in TB case notifications, more than doubling the baseline figures. Given these successful results, we recommend prioritizing resources to support active case-finding strategies in national programs, especially in hard-to-reach areas with high-risk populations, to address TB more comprehensively.</p>\",\"PeriodicalId\":12692,\"journal\":{\"name\":\"Global Health: Science and Practice\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-02-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10906553/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Global Health: Science and Practice\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.9745/GHSP-D-23-00164\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Health: Science and Practice","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.9745/GHSP-D-23-00164","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Improving TB Case Detection Through Active Case-Finding: Results of Multiple Intervention Strategies in Hard-to-Reach Riverine Areas of Southern Nigeria.
Background: A major challenge to TB control globally is low case detection, largely due to routine health facility-based passive case-finding employed by national TB control programs. Active case-finding is a risk-population-based screening approach that has been established to be effective in TB control. This intervention aimed to increase TB case detection in hard-to-reach areas in southern Nigeria.
Methods: Using a descriptive cross-sectional design, we conducted implementation research in 15 hard-to-reach riverine local government areas with historically recognized low TB case notification rates. Individuals with TB symptoms were screened using multiple strategies. Data were collected quarterly over a 4-year period using reporting tools and checklists. Descriptive analysis was done with Microsoft Excel spreadsheet 2019.
Results: A total of 1,089,129 individuals were screened: 16,576 in 2017; 108,102 in 2018; 697,165 in 2019; and 267,286 in 2020. Of those screened, 24,802 (2.3%) were identified as presumptive TB, of which 88.8% were tested and 10% were diagnosed with TB (0.23% of those screened). TB notifications more than doubled, increasing by 183.3% and 137.5% in the initial implementation and scale-up, respectively. On average, 441 individuals needed to be screened to diagnose 1 TB case. The cases, predominantly males (56.1%) and aged 15 years and older (77.4%), comprised 71.9% bacteriologically confirmed drug-sensitive TB, 25.8% clinically diagnosed drug-sensitive TB, and 2.3% drug-resistant cases. Detection sources included community outreach (1,786), health facilities (505), people living with HIV (57), and household contacts of bacteriologically confirmed TB cases (123). Remarkably, 98.1% of diagnosed TB cases commenced treatment.
Conclusions: We found a significant yield in TB case notifications, more than doubling the baseline figures. Given these successful results, we recommend prioritizing resources to support active case-finding strategies in national programs, especially in hard-to-reach areas with high-risk populations, to address TB more comprehensively.
期刊介绍:
Global Health: Science and Practice (GHSP) is a no-fee, open-access, peer-reviewed, online journal aimed to improve health practice, especially in low- and middle-income countries. Our goal is to reach those who design, implement, manage, evaluate, and otherwise support health programs. We are especially interested in advancing knowledge on practical program implementation issues, with information on what programs entail and how they are implemented. GHSP is currently indexed in PubMed, PubMed Central, POPLINE, EBSCO, SCOPUS,. the Web of Science Emerging Sources Citation Index, and the USAID Development Experience Clearinghouse (DEC).
TOPICS:
Issued four times a year, GHSP will include articles on all global health topics, covering diverse programming models and a wide range of cross-cutting issues that impact and support health systems. Examples include but are not limited to:
Health:
Addiction and harm reduction,
Child Health,
Communicable and Emerging Diseases,
Disaster Preparedness and Response,
Environmental Health,
Family Planning/Reproductive Health,
HIV/AIDS,
Malaria,
Maternal Health,
Neglected Tropical Diseases,
Non-Communicable Diseases/Injuries,
Nutrition,
Tuberculosis,
Water and Sanitation.
Cross-Cutting Issues:
Epidemiology,
Gender,
Health Communication/Healthy Behavior,
Health Policy and Advocacy,
Health Systems,
Human Resources/Training,
Knowledge Management,
Logistics and Supply Chain Management,
Management and Governance,
mHealth/eHealth/digital health,
Monitoring and Evaluation,
Scale Up,
Youth.