Study Design
This study, a nationally representative descriptive cluster-sampled cross-sectional survey with retrospective data collection, was conducted across the seven states of Somalia between 28 December 2023 and 3 February 2024 to determine the percentage of TB-affected households facing costs > 20% in Somalia. It was designed based on the World Health Organization’s Handbook guidance on National TB Patient Cost Surveys [16]. This guidance also informed the adoption of objectives, data collection plan and management, and other aspects of the study methodology, including data cleaning and analysis. Contextual question on facility category based on the type of support received was added. The study site covered 96 public and private health TBMUs within the NTP network that treated and notified TB cases according to the national TB program’s guidelines in 2022.
Study Setting
Somalia is Africa’s easternmost country in the continent's Horn, covering an area of 637,657 sq. km, bordered west by Ethiopia, north by the Gulf of Aden, east by the Somali Sea and Guardafui Channel, and southwest by Kenya [17]. Administratively, it comprised seven states: Galmudug, Hirshabelle, Benadir, Jubbaland, Southwest, Puntland, and Somaliland, and has a World Bank 2023 projected population of about 18,143,378 million based on a 3.1% annual growth rate with 51% living in urban areas, 23% in rural and 26% in nomadic areas [17, 18]. The country’s climate is predominantly desert, with a coastline stretching over 3,333 km along the Gulf of Aden to the north and the Indian Ocean to the east and south [17]. Despite the protracted period of political instability, Somalia’s economy has made appreciable progress but remained among Africa’s poorest and least developed countries, with a World Bank estimated Gross Domestic Product (GDP) of 10.4 million US dollars and a GDP per capita at approximately $592 in 2022 [19].
Somalia’s health care delivery system is diverse and cuts across all levels of governance, involving multiple layers from the public and private sectors, including the community [20]. The government focused on scaling up essential and fundamental health and nutrition services through the Essential Package of Health Services (EPHS), developed in 2009, and overcoming the crisis of human resources for health, among others [21–23]. TB services are delivered through 111 TB management units (TBMUs), three DR-TB hospitals, three National TB Reference Laboratories (NTRLs), and the community. Every TBMU provides laboratory services, and the three NTRLs support the laboratory network in the country under the supervision of the supernational lab in Uganda. DR-TB services are decentralized and integrated into the TBMUs nationwide. Though the private sector provides the bulk of health services in Somalia through private hospitals and clinics and plays an essential role in TB control, management, and service delivery, their involvement in delivering TB service is still limited [24, 25]. Also in existence is a robust community structure for TB service delivery through the support of community and female health workers who deliver TB services.
Study Population
The study population consists of all patients (males, females, and children accompanied by a guardian) diagnosed and registered for TB treatment within Somalia’s NTP network who attend a sampled facility for a visit during the study period. This includes all patients on first (DS-TB) and second-line drug treatment (DR-TB) patients who were on TB treatment for at least two weeks (14 days), either in the continuation or intensive phase. Because this survey relies heavily on self-reported information, it excluded people with language, auditory, and cognitive impairments, children without a guardian who cannot provide adequate and reliable information, or those not currently on TB treatment. In addition, and considering the prevailing Somalia context, patients receiving treatment from health facilities in security-challenged districts were excluded.
Procedures
Sampling. This study adopted a random cluster-based sampling and the probability proportional to size (PPS) sampling technique to calculate the sample size and for appropriate cluster selection. A TB treatment facility (public and private hospitals, clinics, and health centers) called TBMU represented a cluster in the survey’s primary sampling unit (PSU). In contrast, the individuals on treatment in these clusters were the secondary sampling unit and unit of analysis.
All the 111 TBMUs (clusters) across the seven states with their corresponding reported 2022 TB cases, totaling 18,499, were listed as the sampling frame. Then, TBMUs that did not report any TB cases in 2022 and those that were inaccessible due to insecurity were removed from the sampling frame; these amounted to 15 TBMUs, leaving a total of 96 TBMUs to serve as the survey’s sampling frame. The remaining 96 TBMUs were randomly sorted using a computer-generated command and other computations to determine the required 37 clusters.
Three consecutive steps guided the sample size calculation. The initial sample size, Design Effect (DEFF), and the required minimum sample size were calculated for the study. The exact proportion of households reporting catastrophic spending on health in Somalia could not be established. Therefore, fifty percent was used to hypothesize the proportion (p) of households experiencing catastrophic total costs due to TB disease in Somalia. This is in line with the Somali 2020 Health and Demographic Survey report that 98% of households pay for their health expenses through their income (48%), the selling of assets (11%), borrowing money (14%), and support from friends and relatives (25%) [17]. A formatted Excel template was used to calculate the minimum sample size of 878, which was adjusted upwards to 927 to accommodate non-responses at 5.2%. The output gave an estimated sample size of 927 patients, corresponding to 37 clusters with 25 patients per cluster.
Survey and data collection. The survey organization comprises a core team of eight technical experts (NTP, WHO country office, World Vision, external technical assistance from the WHO), a data manager, a coordinator, and a local survey team to plan, design, and implement the survey. The local survey team comprises 36 interviewers/data collectors (one per cluster) and seven State TB coordinators (one per state) who collected the survey data. The interviewers were trained virtually due to inadequate resources and given Android phones to collect and upload interview information. The training lasted for three days, and each participant’s understanding of the tool was tested through a practical session where they were asked to enter hypothetical information.
The data collection instrument for this survey is a structured, standardized questionnaire adapted from the WHO generic patient cost survey instrument for collecting data from TB patients[16]. It comprises the following five sections with 115 questions: (i) informed consent and inclusion/exclusion criteria for all eligible patients, (ii) Patient information - obtained from TB treatment card before the interview for all eligible patients, (iii) Overview of TB treatments before current treatment, up to five years before the current treatment started for retreatment cases only - administered to patients in intensive phase only, (iv) costs before the current TB treatment for new cases interviewed in the intensive phase only, and (v) cost during current DS-TB/DR-TB treatment for, administered to all eligible patients.
The data collection instrument included questions on socioeconomic position, household composition, employment status, healthcare utilization, hospital visits, time spent and income lost while seeking and receiving care, household assets, costs incurred (direct medical, direct non-medical, and indirect), individual and household income, access to social protection, coping strategies (loans taken and assets sold), and social consequences, including perceived impacts of costs to make up the required number (25) per cluster. An electronic data collection tool was programmed and deployed into the Kobo Toolbox (Kobo Collect). The e-survey tool contains skip patterns, which enabled respondents to be directed to different sections of the survey according to their type of TB and whether they were interviewed during the intensive or continuation phase for ease of operation.
The survey implementation, which started with a pilot phase, lasted about six weeks between 26 December 2023 and 3 February 2024. The pilot exercise enabled the team to identify potential challenges using the tool and assisted in validating assumptions made for sample size calculation, mode and timing of interview, and budget. Ten trained interviewers were deployed to conduct the pilot testing in ten non-survey selected clusters, and the findings from the pilot exercise were used to improve the wording of the questionnaire sequence, structure, and overall survey implementation plan.
Eligible participants were enrolled in the study through random selection from the facility treatment register. Data variables such as demographic and clinical parameters (age, type of TB patient, HIV status, and treatment. duration) were extracted from the facility treatment registers and cards before the interview. While ensuring optimum confidentiality, trained interviewers collected data face-to-face over one hour. In facilities with high patient turnout during clinic visits, particularly for drug-susceptible TB, consecutive eligible patients were interviewed as they visited the clinic until the sample size was completed. In contrast, in low-volume facilities, they were randomly selected from the register. To ensure adequate representation of DR-TB patients, all participants who are DR-TB patients were selected as they showed up.
Ethical approval
The study received approval from the Research & Ethical Committee at the Ministry of Health Somalia with reference number Ref/MOHHS/DGO/0982/December 2023. Written paper informed consent signature with unique survey numbers was received from eligible participants through signing and thumb printing and stored with the Principal Investigator for safekeeping and retrieval. The guardians of children (below 15 years) provided written informed consent, while adolescents who could comprehend the purpose and procedures of the survey provided informed written consent. Consent was voluntary and obtained by the interviewer in a non-coercive manner after an explanation was provided in a language the participants could comprehend. Participants can opt-out anytime; no incentive was provided, and their personal details were protected.
Analysis
Data processing. Data cleaning and analysis were implemented in R statistic software, version 4.3.1. It included separating and linking patient-level repeat records, such as pre-diagnostic visits and hospitalization information, to the primary patient record via unique patient identifiers. The WHO R script was adapted for Somalia’s instrument design and enabled range and format checks for various variable types, mainly cost and time variables [26]. Also, consistency checks were conducted across questionnaire sections, including formatting variable names and labels. Cleaned data were analyzed along the survey objectives, and missing data were identified and imputed, particularly those relating to the cost extrapolations for patients on first line and second-line treatment throughout the expected treatment period per WHO guidance on analyzing TB cost survey data [16].
Analysis process. The analysis started with basic descriptive statistics and cross-tabulations describing some selected participants’ socio-demographics, treatment characteristics, and the country’s TB care model. The analysis process summarized categorical variables using absolute frequencies (proportions) and continuous variables using medians, inter-quartile ranges (IQR), means, standard deviations (SD), and 95% confidence intervals (95% CI) stratified by drug sensitivity status (DS-TB or DR-TB) and gender (female or male). The total costs incurred during TB treatment, the estimated hours participants lost seeking care, and the delays experienced in seeking care were calculated. Also, the analysis computed the proportion of TB-affected households experiencing catastrophic costs and the proportion of households experiencing “dissaving,” including assessing the cost drivers for seeking TB care, coping strategies implored, and the social consequences faced for contracting TB in Somalia. All cost and income data were collected and computed in United States dollars (USD).
Estimation of the costs of a TB episode. The analysis assessed self-reported income for participants (individuals) and their households, estimated the cost of a TB episode, and valued the time each participant spent seeking TB diagnosis, treatment, and care; assessed income by asking participants about their individual and household income before and after TB diagnosis. The estimated costs of a TB episode were calculated as the total costs (direct medical, direct non-medical, and indirect) per TB episode starting from the onset of symptoms to TB treatment completion. The direct medical costs include costs reported for day charges for hospital admissions, consultation, radiography and other imaging, laboratory tests, other procedures, TB medicine, other medicine, and other medical costs. The direct non-medical costs included all travel costs, food during health care visits or hospital stays, nutritional supplements during health care visits or hospital stays, and other non-medical expenses (including accommodation and food). For this study, the indirect cost was viewed as the productivity and economic costs incurred by the survey participants or their households due to TB healthcare visits and hospitalization during TB episodes and calculated using the output approach (self-reported household income before TB minus self-reported household income during TB treatment or at the time of interview) [16,27].
Estimation of catastrophic costs and dissaving. Furthermore, following WHO global monitoring, the percentage of Patients in TB care and their households that experienced catastrophic total costs was defined and calculated as >20% of annual household income. After that, it was determined whether the participants and their households incurred catastrophic costs due to TB at this threshold by assigning them a binary number [28]. Then, the proportion of those who incurred catastrophic costs due to TB illness was calculated in percentage and reported as the proportion of TB-affected households experiencing catastrophic costs. In addition, the coping strategies used (defined as whether the participant or their household received loans or sold their assets) were analyzed as binary measures to determine whether participants or their households adopted any coping strategy. The dissaving strategies in the form of loans (borrowed money) or sales of assets were calculated.
Factors associated with tuberculosis costs. Lastly, the risk factors associated with TB-related costs incurred by patients in TB care and their households were identified by conducting univariate and multivariate analyses using logistic regression and reported as odds ratios, 95% confidence intervals, and the corresponding p-values.