-->

Stakeholders’ Perceptions, Expectations, and Proposed Improvements for Noncommunicable Disease Surveillance and Response in the Butembo Branch of the North Kivu Provincial Health Division, Democratic Republic of the Congo: A Qualitative Study

Download Article

DOI: 10.21522/TIJPH.2013.14.03.Art032

Authors : Kasereka Wanzuwite Emmanuel, Katembo Kambere Thaddée, Nshimirimana Jacques, Déogratias Katsuva Sibongwere, Rodrigue Kambale Kalumendo

Abstract:

Noncommunicable diseases (NCDs) remain insufficiently integrated into surveillance and response functions in the areas covered by the Butembo provincial health division branch, North Kivu, RDC. This study aimed to explore stakeholders' perceptions, expectations, and suggestions for improvement. A descriptive qualitative study with an exploratory focus was conducted among 25 stakeholders selected through purposive sampling. Data were collected through semi-structured individual interviews and subjected to manual inductive and deductive thematic analysis. Participants’ accounts converged on recognizing the growing burden of NCDs while lamenting the limited consideration given to these diseases in health priorities. Surveillance was limited to the reporting of incomplete indicators that were rarely used locally. According to participants, out-of-pocket payments, poverty, insecurity, supply shortages, limited diagnostic capabilities, and inadequate longitudinal patient follow-up undermined clinical response. The lack of referral pathways, dedicated resources, supervision, and structured community involvement exacerbated these difficulties. Participants recommended increased commitment from the health system toward NCDs, a more inclusive information system, and the effective integration of referral, longitudinal follow-up, and community participation into primary health care.

References:

[1].      Organisation mondiale de la Santé. Maladies non transmissibles [Internet]. 2025
[cited 2025 Oct [2].
https://www.who.int/fr/news-room/fact-sheets/detail/noncommunicable-diseases. Accessed 2 Oct 2025

[2].      Freihat O, Sipos D, Aamir M, Kovacs A. Global burden and future projections of non-communicable diseases (2000–2050): Progress toward SDG 3.4 and disparities across regions and risk factors. Hennis AJM, editor. PLoS One [Internet]. 2025 [cited 2026 Apr 1];20:e0336036. https://doi.org/10.1371/journal.pone.0336036

[3].      Zhu M, Xu S, Li Y, Wang W, Liu L, Xu Q, et al. Global burden of non-communicable diseases attributable to behavioral factors. Science Bulletin [Internet]. 2025 [cited 2026 Apr 1];70:3129–33. https://doi.org/10.1016/j.scib.2025.08.037

[4].      Organisation mondiale de la Santé. Surveillance des maladies non transmissibles dans la région OMS de la Méditerranée occidentale [Internet]. Bureau régionale de la Méditeranée Orientale; 2021 [cited 2024 Mar 20]. ISBN 978-92-9022-482-2. Accessed 20 Mar 2024

[5].      Schwartz LN, Shaffer JD, Bukhman G. The origins of the 4 × 4 framework for noncommunicable disease at the World Health Organization. SSM - Population Health [Internet]. 2021 [cited 2025 Nov 7];13:100731. https://doi.org/10.1016/j.ssmph.2021.100731

[6].      World Health Organization. Noncommunicable diseases country profiles 2018. World Health Organization; 2018.

[7].      World Health Organization Regional Office for Africa. Noncommunicable diseases in Africa: The invisible epidemic (Analytical fact sheet: NCD morbidity and mortality). African Health Observatory. World Health Organization Regional Office for Africa; 2022.

[8].      World Health Organization Regional Office for Africa. Noncommunicable diseases and mental health in the WHO African Region: Progress report 2024. World Health Organization Regional Office for Africa; 2024.

[9].      Ahmed SM, Krishnan A, Karim O, Shafique K, Naher N, Srishti SA, et al. Delivering non-communicable disease services through primary health care in selected South Asian countries: are health systems prepared? The Lancet Global Health [Internet]. 2024 [cited 2025 Dec 29];12:e1706–19. https://doi.org/10.1016/S2214-109X(24)00118-9

[10].     Barry A, Impouma B, Wolfe CM, Campos A, Richards NC, Kalu A, et al. Non-communicable diseases in the WHO African region: analysis of risk factors, mortality, and responses based on WHO data. Sci Rep [Internet]. 2025 [cited 2026 Mar 25];15:12288. https://doi.org/10.1038/s41598-025-97180-3

[11].     World Health Organization. Health at a glance | Democratic Republic of the Congo (created 11/12/2024). WHO Data. World Health Organization; 2024.

[12].     Ministère de la Santé Publique, Hygiène et Prévoyance Sociale. Enquête sur les facteurs de risque des maladies non transmissibles dans les provinces de Kinshasa, Thsopo et Kasai Orientale. Kinshasa; 2025.

[13].     Armocida B, Tolonen H, Rakovac I, Formenti B, Farrington J, Ekberg A, et al. Strengthening non-communicable diseases monitoring systems in Europe through a multistakeholder collaborative approach: a key priority for advancing data-driven policymaking. The Lancet Regional Health - Europe [Internet]. 2026 [cited 2026 Apr 11];61:101553. https://doi.org/10.1016/j.lanepe.2025.101553

[14].     Bovet P, Banatvala N, Cooper R, Riley L. Surveillance of NCDs and their risk factors. Noncommunicable Diseases [Internet]. 1st edn London: Routledge; 2023 [cited 2025 Dec 26]. p. 28–33. https://doi.org/10.4324/9781003306689-5

[15].     Quiambao A, Malekpour M-R, Golestani A, Heidari-Foroozan M, Ghamari S-H, Abbasi-Kangevari M, et al. World health Organization’s guidance for tracking non-communicable diseases towards sustainable development goals 3.4: an initiative for facility-based monitoring. eClinicalMedicine [Internet]. 2025 [cited 2026 Mar 25];85:103304. https://doi.org/10.1016/j.eclinm.2025.103304

[16].     WHO Africa. Community-based surveillance, Traing Manual, Integrated Diseases Surveillance and Response in the African Region [Internet]. 2015 [cited 2024 May 20]. https://www.afro.who.int/sites/default/files/2017-06/community-based-surveillance_idsr_training-manual.pdf. Accessed 20 May 2024

[17].     Zhang J, Wu Y, Tian R, Zhao D. Developing an integrated evaluation indicator system for non-communicable disease management in China’s primary care: a modified Delphi-analytic hierarchy process study based on the structure-process-outcome framework. BMC Public Health [Internet]. 2025 [cited 2026 Apr 11];26:18. https://doi.org/10.1186/s12889-025-25714-5

[18].     Kasereka Wanzuwite E, Nshimirimana J, Katsuva Sibongwere D, Kambale Kalumwendo R, Katembo Kambere T. Niveau de coordination opérationnelle de la surveillance et de la réponse aux maladies non transmissibles dans les zones de santé de l’Antenne DPS de Butembo, Nord-Kivu, République démocratique du Congo. 2026.

[19].     Akik C, El Dirani Z, Willis R, Truppa C, Zmeter C, Aebischer Perone S, et al. Providing continuity of care for people living with noncommunicable diseases in humanitarian settings: A qualitative study of health actors’ experiences in Lebanon. Journal of Migration and Health [Internet]. 2024 [cited 2026 Mar 25];10:100269. https://doi.org/10.1016/j.jmh.2024.100269

[20].     Braun V, Clarke V. Reporting guidelines for qualitative research: a values-based approach. Qualitative Research in Psychology [Internet]. 2025 [cited 2026 July 25];22:399–438. https://doi.org/10.1080/14780887.2024.2382244

[21].     Ahmad M, Wilkins S. Purposive sampling in qualitative research: a framework for the entire journey. Qual Quant [Internet]. 2025 [cited 2026 July 25];59:1461–79. https://doi.org/10.1007/s11135-024-02022-5

[22].     Weller SC, Vickers B, Bernard HR, Blackburn AM, Borgatti S, Gravlee CC, et al. Open-ended interview questions and saturation. Soundy A, editor. PLoS ONE [Internet]. 2018 [cited 2026 Mar 15];13:e0198606. https://doi.org/10.1371/journal.pone.0198606

[23].     Squire CM, Giombi KC, Rupert DJ, Amoozegar J, Williams P. Determining an Appropriate Sample Size for Qualitative Interviews to Achieve True and Near Code Saturation: Secondary Analysis of Data. J Med Internet Res [Internet]. 2024 [cited 2026 Mar 14];26:e52998. https://doi.org/10.2196/52998

[24].     Lim WM. Sample Size in Qualitative Research: Moving from Data Saturation to Theoretical Saturation. Journal of Global Marketing [Internet]. 2025 [cited 2026 Mar 14];1–11. https://doi.org/10.1080/08911762.2025.2590757

[25].     Byrne D. A worked example of Braun and Clarke’s approach to reflexive thematic analysis. Qual Quant [Internet]. 2022 [cited 2026 Mar 12];56:1391–412. https://doi.org/10.1007/s11135-021-01182-y

[26].     Pearson H, Myall M, Darlington A-S, Gibson F. The approach and application of analysing inductive and deductive datasets: a worked example using reflexive thematic analysis. Qualitative Research in Psychology [Internet]. 2025 [cited 2026 July 25];22:842–86. https://doi.org/10.1080/14780887.2025.2499265

[27].     Michelen M, Phan M, Zimmer A, Coury N, Morey B, Montiel Hernandez G, et al. Practical Qualitative Data Analysis for Public Health Research: A Guide to a Team-Based Approach With Flexible Coding. International Journal of Qualitative Methods [Internet]. 2024 [cited 2026 July 25];23:16094069241289279. https://doi.org/10.1177/16094069241289279

[28].     Naeem M, Ozuem W, Howell K, Ranfagni S. A Step-by-Step Process of Thematic Analysis to Develop a Conceptual Model in Qualitative Research. International Journal of Qualitative Methods [Internet]. 2023 [cited 2026 July 25];22:16094069231205789. https://doi.org/10.1177/16094069231205789

[29].     Saunders CH, Sierpe A, Von Plessen C, Kennedy AM, Leviton LC, Bernstein SL, et al. Practical thematic analysis: a guide for multidisciplinary health services research teams engaging in qualitative analysis. BMJ [Internet]. 2023 [cited 2026 July 25];381:e074256. https://doi.org/10.1136/bmj-2022-074256

[30].     Lloyd N, Hyett N, Kenny A. To Member Check or not to Member Check? An Evaluation of Member Checking in an Interpretive Descriptive Study. International Journal of Qualitative Methods [Internet]. 2024 [cited 2026 July 27];23:16094069241301383. https://doi.org/10.1177/16094069241301383

[31].     Kabir A, Karim MN, Islam RM, Romero L, Billah B. Health system readiness for non-communicable diseases at the primary care level: a systematic review. BMJ Open [Internet]. 2022 [cited 2025 Dec 29];12:e060387. https://doi.org/10.1136/bmjopen-2021-060387

[32].     Nguyen TNT, Nguyen TTT, Tran BQ, Pham CT, Perry KE, Haregu T, et al. Putting non-communicable disease data to work in Vietnam: an investigation of community health surveillance capacity. BMC Public Health [Internet]. 2023 [cited 2026 July 26];23:321. https://doi.org/10.1186/s12889-023-14986-4

[33].     Ministère de la Santé Publique, Hygiène et Prévention de la République/RDC. Couvertures nationales et provinciales et autres statistiques de services pour la santé reproductive, maternelle, néonatale et infantile à partir de données d’enquêtes et des établissements de santé, 2017-2021 [Internet]. Kinshasa; 2022. https://www.countdown2030.org/wp-content/uploads/2022/10/Rapport-technique-actualise-RDC_Atelier-danalyse-donnees-SRMNEA-Nut_14.08.2022.pdf?

[34].     Mutombo CS, Bakari SA, Ntabaza VN, Nachtergael A, Lumbu J-BS, Duez P, et al. Perceptions and use of traditional African medicine in Lubumbashi, Haut-Katanga province (DR Congo): A cross-sectional study. Mordaunt DA, editor. PLoS ONE [Internet]. 2022 [cited 2026 July 26];17:e0276325. https://doi.org/10.1371/journal.pone.0276325

[35].     World Health Organization. Data quality assurance: module 2—discrete desk review of data quality: implementation guide [Internet]. Geneva: World Health Organization; 2020. https://www.healthdatacollaborative.org/fileadmin/uploads/hdc/Documents/Working_Groups/RHIS/A._Standards_and_Tools/2._RHIS_data_generation/2d._Data_visualization__analysis_and_interpretation/WHO_Toolkit_for_RHIS_data/4-2b-2021_-dqa_module-2_desk-review_-implementation-guide.pdf?

[36].     World Health Organization. Recommendations on how to strengthen the design and implementation of policies, including those for resilient health systems and health services and infrastructure, to treat people living with noncommunicable diseases and to prevent and control their risk factors in humanitarian emergencies. Annex 4, Document A75/10 Add.2. [Internet]. Geneva: World Health Organization; 2022. https://apps.who.int/gb/ebwha/pdf_files/WHA75/A75_10Add2-en.pdf?

[37].     Kasujja FX, Aikaeli F, Garrib A, Van Widenfelt E, Namakoola I, Kivuyo S, et al. Integrated community-based versus facility-based care for people with HIV, diabetes, and hypertension in sub-Saharan Africa (INTE-COMM): an open-label, multicountry, cluster-randomised trial. The Lancet [Internet]. 2026 [cited 2026 July 26];407:1084–94. https://doi.org/10.1016/S0140-6736(25)02641-8

[38].     Doresha L-M, Williams, Mash R. The role of community health workers in non-communicable diseases in Cape Town, South Africa: descriptive exploratory qualitative study. BMC Prim Care [Internet]. 2024 [cited 2026 July 26];25:176. https://doi.org/10.1186/s12875-024-02424-2

[39].     Sanya RE, Karugu CH, Iddi S, Kibe PM, Mburu L, Mbau L, et al. Feasibility and impact of a patient support group care model on diabetes and hypertension care in informal settlements in Nairobi, Kenya: a quasi-experimental study. Global Health Action [Internet]. 2025 [cited 2026 July 26];18:2482304. https://doi.org/10.1080/16549716.2025.2482304

[40].     Kazibwe J, Tran PB, Annerstedt KS. The household financial burden of non-communicable diseases in low- and middle-income countries: a systematic review. Health Res Policy Sys [Internet]. 2021 [cited 2026 July 26];19:96. https://doi.org/10.1186/s12961-021-00732-y