Master of Science in Health Systems Management

Influence of Access Factors On Uptake of Diagnostic Imaging by Oncology Patients in Nakuru, Bomet and Nandi Counties, Kenya

2026-02-25T07:17:19Z

Influence of Access Factors On Uptake of Diagnostic Imaging by Oncology Patients in Nakuru, Bomet and Nandi Counties, Kenya Muikamba, Lilian Cancer, a non-communicable disease, poses a significant global and national health threat, with high demands for diagnosis and treatment. Late diagnosis has been a key factor contributing to high cancer mortality rates in Kenya. This study aimed to examine how access factors influence oncology patients' uptake of diagnostic imaging in Nakuru, Bomet and Nandi Counties, Kenya. Specific objectives focused on the influence of demographic factors, equipment acceptability, healthcare accessibility, scanning costs, imaging adequacy, and the overall uptake of diagnostic imaging. The study was grounded in the Health Belief Model and the Theory of Planned Behavior. A cross-sectional research design was employed, collecting data from 3 public hospitals in Nakuru, Bomet and Nandi Counties, Kenya. The primary respondents were 326 patients and 41 health workers. Semi-structured questionnaires were used to interview patients and a key informant interview guide was used to collect data among the healthcare workers. A pre-test was conducted at Texas Cancer Center in Nairobi County. Data analysis was performed using SPSS version 25, which processed descriptive statistics and binary logistic regression and qualitative data was analysed using themes. Key findings revealed that 25% of the patients were aged 41-50, and 22% were aged 61-70. Most (89%) were married, and 61% were male. Breast and colon cancers were the most common diagnoses (63%). Regarding equipment awareness, 76% of patients were familiar with CT and MRI scanners, while only 5% knew about PET scanners. Insurance usage was inconsistent, with 41% of patients using it twice, but many had to rely on fundraising or family contributions for other expenses. Conclusions indicated that most patients seeking cancer diagnostic imaging were middle-aged or older, married individuals. Many patients 208(76%) had some prior knowledge of CT and MRI scanners, though awareness of PET scanners was low. Long wait times of 3-6 months were common due to overbooked sessions. Despite most patients having SHA or private insurance, many still paid out-of-pocket for services. Inadequate imaging services on operational days caused significant delays for patients. The study recommends that the hospitals should allocate more funding to raise awareness particularly among young, unmarried individuals, to encourage early diagnostic imaging, especially for females. Regarding equipment acceptability, hospitals should develop policies that include pre-imaging training for patients. To improve accessibility, hospitals should seek donor support and corporate partnerships to acquire more imaging equipment. On scanning costs, there is a need for the county governments to enhance public awareness of SHA's benefits. Lastly, hospitals should ensure that imaging services remain operational consistently to serve more patients efficiently. This study underscores the need for improved access, awareness, and resource allocation in cancer diagnostic imaging to reduce late diagnosis and enhance patient outcomes in Kenya.

Prevalence of Home Deliveries and Associated Factors Among Women of Reproductive Age in Rural Areas Of Marsabit County, Kenya

2026-02-25T07:09:00Z

Prevalence of Home Deliveries and Associated Factors Among Women of Reproductive Age in Rural Areas Of Marsabit County, Kenya Isako, Sori Sake This study examined the prevalence and factors influencing the preference for home deliveries in rural Marsabit County, focusing on cultural practices, healthcare facility-related factors, socioeconomic conditions, and awareness of government health initiatives. A descriptive cross-sectional mixed-methods design was employed, with 402 women participating in quantitative surveys and additional qualitative data gathered from 10 interviews and two focus group discussions. After data cleaning, 396 valid responses were analyzed. The analysis revealed that the point prevalence of home deliveries among women of reproductive age was 64.65% (n = 256). Furthermore, 291 (94.17%) of these home deliveries were attended by traditional birth attendants (TBAs), highlighting their significant role. Cultural beliefs and family influence substantially shaped delivery choices, with family cultural influence reducing the likelihood of a facility delivery (OR = 0.47, p = 0.009). Health-facility-related factors were also significant determinants. Long waiting times (OR = 1.58, p = 0.002) and respectful treatment by staff (OR = 1.86, p = 0.011) significantly influenced healthcare utilization. Socio-economic conditions, including higher education levels (OR = 1.854, p < 0.001) and stable employment (OR = 2.776, p = 0.007), were strongly associated with an increased likelihood of facility-based deliveries. Awareness of government initiatives, such as the Linda Mama program, was low, with 210 (53.03%) of respondents unaware of these programs, which contributed to the preference for home deliveries. Qualitative insights supported these findings, emphasizing deeply rooted cultural norms, mistrust in government healthcare services, and financial constraints as key barriers. Significant variables in the multivariate analysis included religion, number of home deliveries, family's cultural beliefs, cultural practices discouraging facility delivery, traditional ceremonies, unavailability of essential medications, sufficient health workers, long waiting times, and access to information. The study concluded that an integrated approach addressing cultural, socioeconomic, and healthcare access barriers is crucial for promoting safer delivery practices. Recommendations include improving healthcare infrastructure, integrating TBAs into the formal healthcare system, providing targeted financial support, and enhancing communication strategies to build trust in government health programs.

Influence of Psychological Contract On Job Satisfaction Among Medical Laboratory Professionals in Selected Public Health Sector Institutions at The National Government, Kenya

2026-02-25T07:03:18Z

Influence of Psychological Contract On Job Satisfaction Among Medical Laboratory Professionals in Selected Public Health Sector Institutions at The National Government, Kenya Nzoka, Peninna Mwongeli The psychological contract is an implicit agreement that shapes employee-employer expectations and significantly influences employee attitudes and behaviors in organizations. A positive psychological contract enhances job satisfaction by creating a supportive work environment. While research has explored psychological contracts among healthcare professionals in Kenya, there are limited specific studies on Medical Laboratory Professionals (MLPs) and how this contract affects their job satisfaction. This study aimed to assess the influence of the psychological contract on job satisfaction among MLPs in the public health sector, focusing on the Human Resources for Health pillar. The study aimed to determine the influence of employee and employer obligations, entitlements, and delegation on job satisfaction within National Government-selected health institutions. Utilizing the Psychological Contracts ‘Iceberg’ Model, a descriptive cross-sectional study design was applied, on 106 Medical Laboratory Professionals (MLPs) through Likert-scale questionnaires. Data collection included self-administered structured questionnaires and key informant interviews with human resource personnel and MLP managers. Qualitative analysis followed set themes, and quantitative data were processed using SPSS version 29 for both descriptive and inferential statistics. A response rate of 98 (92.7%) was attained. Male respondents were 48 (49%), female 50 (51%). Most of the respondents were >45 years, 58 (59.2%), 51% were undergraduate degree holders, 24.5% master’s degree holders, 19.4% diploma holders, with 2.0% having a Doctorate qualification. The results of Pearson’s correlation coefficient indicated that Employee obligations (p< 0.001), Employee entitlements (p< 0.001), Employer obligations (p< 0.001), and Delegation (p< 0.001) were significantly associated with Job satisfaction. Further, Multiple regression analysis revealed that Employee entitlements (p< 0.001), Employer obligations (p-value =0.003), and Delegation (p< 0.001) were significantly associated with Job satisfaction, while Employee obligations (p-value =0.578) insignificantly influenced Job satisfaction. The four independent variables combined account for 57.7% variation of the dependent variable (R2 =.577) with a model fit (F (4, 93) =31.70; p-value<0.001). Delegation had the strongest positive and significant association with job satisfaction (β = 0.362), indicating that it was the most important predictor in the model. Employee entitlements (β = 0.351) and employer obligations (β = 0.253) also showed significant positive relationships with job satisfaction. Conversely, employee obligations were found to have a negative association with job satisfaction. The study concludes that enhancing job satisfaction in the public health laboratory sector requires attention to the psychological aspects of employee relations, including obligations and entitlements, as well as structural elements like delegation. It suggests that organizations should build an environment that fosters motivation, value, and support for their workforce. Recommendations include focusing on purpose-driven expectations, implementing fair human resource policies, and defining roles clearly, balancing obligations with rewards to create a thriving workplace, and creating structures that encourage delegation practices by managers and human resource practitioners.

Determinants of Eight Contacts Antenatal Care Uptake Among Prenatal Mothers in Changamwe Sub-County Mombasa, Kenya

2026-02-25T06:54:49Z

Determinants of Eight Contacts Antenatal Care Uptake Among Prenatal Mothers in Changamwe Sub-County Mombasa, Kenya Bahati, Sophia Swalehe Optimal antenatal care (ANC) uptake is critical for improving maternal and neonatal health outcomes. Despite global efforts to promote ANC, maternal and neonatal mortality rates remain high. In Kenya, neonatal mortality stands at 21 deaths per 1,000 live births, emphasizing the need to enhance ANC uptake. In Changamwe Sub-County, data from the MOH 711 digital reporting tool revealed persistently low adherence to the recommended eight ANC contacts, alongside rising fresh and macerated stillbirths and fluctuating maternal deaths. This study assessed the determinants influencing ANC uptake among prenatal mothers in Changamwe, Mombasa, Kenya. Specifically, the study examined the role of community health promoters, the quality of ANC services, health need-related factors, and household status in determining the completion of eight ANC contacts. A mixed-method research design incorporating both qualitative and quantitative approaches was employed. The target population included postnatal mothers attending maternal child health clinics in public health facilities and maternal child healthcare clinic nurse managers as key informants. A total of 370 mothers and 4 nurse managers participated in the study, selected using purposive and simple random sampling techniques. Data collection involved structured questionnaires for mothers and key informant interviews with nurse managers. Descriptive statistics were used to summarize the findings, while correlation and multiple regression analyses assessed relationships between study variables. The results indicated that household status, health need-related factors, and the quality of ANC services significantly influenced ANC uptake. Specifically, household status was positively associated with ANC uptake (β = 0.45, p = .002), indicating that increased support within the household correlates with higher ANC attendance. Health need-related factors also showed a significant positive relationship (β = 0.38, p = .005), suggesting that mothers with greater health needs are more likely to attend ANC services. The quality of ANC services was another significant predictor (β = 0.42, p = .003), emphasizing the importance of service quality in encouraging ANC visits. However, community health promoters had no statistically significant impact on ANC uptake (β = 0.10, p = .08). Based on the findings, the study recommends strengthening household support systems by involving spouses in ANC education and empowering women in healthcare decision-making. Enhancing ANC service quality through respectful care, skilled provider training, and ensuring reliable supply chains for ANC commodities is also advised. Addressing health need-related barriers by promoting early screening for pregnancy complications and increasing maternal health literacy is crucial. Additionally, re-evaluating the role of community health promoters through targeted training, supervision, and structured home visit and referral frameworks is necessary. Implementing broad community sensitization campaigns to boost awareness and dispel myths surrounding ANC. Further research on community health promoters’ effectiveness in ANC promotion within varied contexts and explore the underlying factors contributing to the low rate of antenatal care (ANC) initiation before 12 weeks of gestation recommended. These recommendations underscore a need for multi-level interventions ranging from household empowerment to service delivery improvements to increase ANC uptake and ultimately reduce maternal and neonatal morbidity and mortality.

Factors Influencing Utilization of the Makueni Care Insurance Program Toward Universal Health Coverage in Makueni County, Kenya

2026-02-25T06:49:27Z

Factors Influencing Utilization of the Makueni Care Insurance Program Toward Universal Health Coverage in Makueni County, Kenya Kisilu, Mary Syontheke Health financing involves raising adequate funds for health services in ways that ensure people can access needed care without facing financial hardship or impoverishment. It also provides incentives for efficiency among both providers and users. Health insurance schemes play a central role in improving access to healthcare by pooling resources to reduce the financial burden on individuals and families. Such schemes are vital in advancing Universal Health Coverage (UHC) by ensuring equitable, affordable, and accessible health services. The Makueni Care Insurance Program (MCIP), implemented in Makueni County, Kenya, represents a key initiative toward achieving UHC. However, its success has been constrained by challenges related to funding, accessibility, affordability, and equity. This study focused on these factors to provide actionable insights for strengthening MCIP and similar health insurance schemes. Specifically, the study aimed to examine the influence of accessibility, affordability, equity, and funding on the utilization of MCIP in achieving UHC in Makueni County. The study targeted two primary groups: Hospital Administrators and Healthcare Providers, and Beneficiaries and Program Users. The Hospital Administrators and Healthcare Providers group comprised approximately 192 individuals, including 128 Hospital Administrators and 333 Healthcare Providers drawn from 16 public hospitals across Makueni County. The sample size was determined using Yamane’s formula at a 5% precision level, resulting in 45 hospital administrators and 99 healthcare providers. In addition, purposive sampling was used to select 40 program beneficiaries from each of the four facilities—Makueni County Referral Hospital, Emali Sub-County Hospital, Makindu Sub-County Hospital, and Kibwezi Sub-County Hospital—yielding a total of 160 beneficiaries. Stratified sampling was applied to ensure proportional representation across the facilities. A descriptive cross-sectional survey design was employed to gather quantitative data from program users, inpatients, and healthcare providers across the selected public health facilities. Data were collected using structured questionnaires tailored for program beneficiaries, administrators, and healthcare providers. The data were analyzed using SPSS (Version 26), applying Spearman rank correlation and multivariate regression analyses to evaluate relationships between the key factors and MCIP utilization. The findings revealed that funding, accessibility, affordability, and equity all played critical roles in improving the utilization of health insurance schemes such as MCIP. Specifically, affordability (β = 0.263, p < 0.001), accessibility (β = 0.167, p = 0.001), equity (β = 0.201, p < 0.001), and funding (β = 0.217, p < 0.001) had statistically significant positive effects on MCIP utilization. Among these, affordability had the strongest influence, underscoring the importance of financial considerations in beneficiary engagement. Based on these results, the study offered evidence-based recommendations for policymakers and stakeholders to enhance MCIP’s effectiveness. These included strategies to promote sustainable funding, improve service accessibility, ensure affordability through reduced premiums or subsidies, and strengthen equity in healthcare delivery. Implementing these interventions will foster greater enrollment and continued use of MCIP services, ultimately contributing to improved health outcomes and the realization of UHC in Makueni County and beyond.

Facilitators of Community Health Promoters Service Provision in Nandi County

2026-02-25T06:42:57Z

Facilitators of Community Health Promoters Service Provision in Nandi County Chebet, Risper Community Health Promoters (CHPs) play a vital role in expanding access to primary healthcare services in rural areas of Kenya. This study examined the key facilitators of service provision by CHPs in Nandi County, focusing on security of tenure, capacity building, financial incentives, and the availability of essential supplies and commodities. A descriptive research design was adopted. The target population comprised 1,567 CHPs serving across six sub-counties in Nandi County. Using Cochran’s formula, a sample of 306 respondents was determined through stratified sampling to ensure adequate representation. Data were collected using a structured Likert-scale questionnaire, which was pretested on 30 CHPs in Uasin Gishu County to ensure validity and reliability. A 93.8% response rate was achieved (n = 287). Descriptive analysis revealed moderate adequacy in working conditions across the four variables. Many CHPs cited unclear job contracts and a lack of employment assurance as demotivating factors. Capacity-building opportunities varied in frequency and quality, affecting service delivery. Irregular remuneration and delayed stipends were identified as major financial challenges. Additionally, the inconsistent availability of supplies and commodities disrupted service provision. Inferential analysis using Pearson correlation and multiple linear regression revealed significant positive associations between all four variables and service provision: security of tenure (r = 0.441, p < 0.01), capacity building (r = 0.518, p < 0.01), financial incentives (r = 0.486, p < 0.01), and supplies and commodities (r = 0.529, p < 0.01). Combined, these factors explained 47.3% of the variance in service provision (R² = 0.473, F = 52.763, p < 0.000). The findings indicate that CHPs with clear employment terms, continuous professional development opportunities, timely financial support, and adequate tools and materials provide higher levels of service. Strengthening these facilitators is essential for improving CHP performance and sustaining community health services in rural Kenya. The study recommends formalizing CHPs’ contracts, institutionalizing capacity-building programs, ensuring predictable financial incentives, and enhancing supply chain systems to support universal health coverage goals.

Influence of Performance Management System On Health Workers Performance at Public Hospitals in Nairobi County Kenya

2026-02-25T06:38:02Z

Influence of Performance Management System On Health Workers Performance at Public Hospitals in Nairobi County Kenya Anjichi, Jane Okaka Effective performance management is essential to the provision of health services. It is recognized as one of the key components of the healthy workforce pillar in health systems vital building blocks, effectively contributing to the greatest possible health care outcomes. By evaluating and improving employee performance, performance management systems assist healthcare organizations in maximizing the contribution of healthcare professionals towards anticipated health outcomes. There has been insufficient investigation into how integrating the entire process of the system affects health workers' performance in public hospitals particularly level three to five located in Nairobi County. Furthermore, empirical data regarding the efficacy of these systems was lacking. The study's objective was to investigate the influence of performance management system on the performance of health workers in public hospitals in Nairobi County, Kenya. Expectancy theory and goal-setting theory served as the study's specific objectives. A cross-sectional descriptive survey of the research design was adopted. Data was collected from 239 health care workers from three public hospitals using structured questionnaires. Data was analyzed using inferential statistics and descriptive approaches. A model of ordinal logistic regression was employed to investigate the relationship between the independent and dependent variables. Frequencies, means, standard deviations, and percentages were used to portray the results. The study found that efficient performance appraisal, feedback, and reward systems significantly enhance health workers’ performance. Considering a normal p-value of <0.01, there existed a substantial positive correlation between performance planning and reward systems (r = 0.496), health work's performance (r = 0.653), performance appraisal (r = 0.621), and performance feedback (r = 0.554). This suggested that performance evaluation, feedback, reward systems, and health workers' performance are often higher when there is greater performance planning. Binary logistic regression model suggested that Performance Appraisal, Feedback, and Reward Systems significantly influence health worker performance. The Nagelkerke R Square indicated that jointly Performance Appraisal, Performance Feedback, and Reward Systems accounted for 37.1% of the variation in health workers’ performance. Putting in place reliable performance management systems that offer consistent evaluations, helpful criticism, and fair compensation plans was highlighted by these findings. Cultivating a culture of accountability, acknowledgment, and motivation among healthcare workers is needed to improve performance.

Influence of Supply Chain Management Practices On Vaccines (Kepi) Availability in Public Health Facilities in Kisii County, Kenya

2026-02-25T06:33:16Z

Influence of Supply Chain Management Practices On Vaccines (Kepi) Availability in Public Health Facilities in Kisii County, Kenya Kegesa, Emily Moraa Vaccines are crucial in preventing infectious diseases worldwide. The supply chain should ensure that the supply of vaccines is consistent at all times in order to have a good and functional healthcare system. Vaccines stock outs are a serious health concern to the general population as they contribute to low immunization rates. Many children miss vaccination, exposing them to a higher risk of vaccine preventable diseases and the potential for a disease outbreak. Frequent vaccines stock outs were experienced across the country in public health facilities, including Kisii County. These vaccines stock outs were linked to poor and ineffective supply chain management practices. This research therefore aimed at investigating the influence of supply chain management practices on vaccines availability in public health facilities in Kisii County. The specific objectives of the study were to determine the influence of planning, ordering practices, storage practices, and distribution on vaccines availability in public health facilities in Kisii County. A descriptive cross-sectional design was used to collect quantitative data. The target population was 131 healthcare workers who were involved in handling and administration of vaccines (nurses). A census approach was adopted, where all 131 public health facilities that provided immunization services in Kisii County were sampled, with one respondent per health facility. Purposive sampling was utilized to target vaccine handlers from all levels of the health facilities. Researcher-administered questionnaires and an observation checklist tool were used to collect data. Data was analyzed using statistical package for social sciences (SPSS) version 26.0 both descriptively using frequencies, percentages, means, and standard deviations where appropriate and inferentially, through regression and correlation analysis. Data was then presented in tables, graphs and charts. The study findings showed that all four independent variables; planning, ordering practices, storage practices and distribution positively influenced vaccines availability, with statistically significant p-values (Sig.) below 0.05. Storage practices exhibited the strongest standardized coefficient (β= 1.237), suggesting that it had the greatest impact on vaccines availability, followed by distribution (β = 0.412). Although planning and ordering practices showed relatively lower β values (0.168 and 0.054 respectively), their statistical significance (p = .001 and .000 respectively) confirmed that they still contributed meaningfully to vaccines availability. The findings imply that investments in planning and ordering practices are likely to yield practical benefits in vaccines availability. The findings also imply that strengthening storage infrastructure and better understanding of the distribution dynamics are key strategic priorities to maximize reliable vaccine supply. The study recommends that the County government should formalize a specific budget allocation for immunization programs, prioritize the upgrading and expansion of cold chain storage infrastructure and enforce a standardized vaccines ordering and distribution protocol across all public health facilities.

Determinants of Quality Healthcare Service Provision at Kenyatta National Hospital, Kenya

2026-02-24T13:44:49Z

Determinants of Quality Healthcare Service Provision at Kenyatta National Hospital, Kenya Olinyo, Diana Chebet Quality healthcare service provision is a cornerstone for achieving Sustainable Development Goals (SDGs), a challenge particularly acute in national referral hospitals within resource-limited settings. Kenyatta National Hospital (KNH) in Kenya, as a pivotal healthcare institution, faces persistent challenges in delivering consistent, high-quality care. This study aimed to identify and analyze the key determinants influencing the provision of quality healthcare at KNH, specifically focusing on human resources, hospital infrastructure, system optimization, and health financing. A descriptive cross-sectional research design was employed for this investigation. The study targeted a population of 5,779 healthcare workers within the Surgical Services Division of KNH. A stratified random sampling technique was used to select a sample of 374 respondents, from which 330 completed questionnaires were collected, yielding a high response rate of 88.2%. Data collection was conducted using pre-tested, self-administered questionnaires. The collected data underwent rigorous analysis, utilizing descriptive statistics to summarize the data and inferential statistics, including Pearson’s correlation and binary logistic regression, to examine relationships and predictive capacities between the independent variables and the dependent variable. The reliability of the research instrument was confirmed with a Cronbach's Alpha score of 0.811. Descriptive statistics revealed that all study variables had mean scores above 3.0, indicating a general consensus among respondents on their importance. Inferential analysis demonstrated significant positive correlations between hospital infrastructure (r=0.445, p<0.01), system optimization (r=0.306, p<0.01), and the provision of quality healthcare. The logistic regression model further identified hospital infrastructure (β=0.593) as the most potent predictor of quality care, followed by system optimization, human resources, and health financing. The overall model was statistically significant and explained 66.8% of the variance in quality healthcare provision (Cox & Snell R² = 0.668). The findings underscore the paramount importance of infrastructure investment and operational process efficiency as foundational to enhancing healthcare quality. The study concludes that a multi-pronged strategy is essential for sustainable quality improvement at KNH. Consequently, it is recommended that hospital management and policymakers prioritize strategic investment in infrastructure upgrades, enhance staff training and retention programs and foster a culture of data-driven decision-making to bridge existing service delivery gaps and achieve superior patient outcomes.

Utilization of Health Information for Control of Communicable Diseases in Habaswein Sub County Public Health Facilities, Wajir County

2026-02-24T13:37:42Z

Utilization of Health Information for Control of Communicable Diseases in Habaswein Sub County Public Health Facilities, Wajir County Hassan, Abdullahi Ali Utilizing health information for controlling communicable diseases is a critical aspect of effective public health management. Despite the existence of a health management information system (HMIS), Wajir County continues to experience recurrent outbreaks of infectious diseases, raising concerns about the effective use of health data for disease control. This study therefore assessed the effect of the use of health management information systems (HMIS) on the control of communicable diseases in public health facilities in Habaswein Sub-County, Wajir County. The study adopted a descriptive cross-sectional research design and was guided by the Evidence-Based Health Information Systems Theory, the Health Metrics Network (HMN) Framework, and the Performance of Routine Information System Management (PRISM) Framework. The dependent variable was utilization of health management information systems, while the independent variables were effectiveness of use, data metrics, technology, and government policy. Primary data were collected using structured questionnaires from a census of 74 health service providers working in public health facilities within the sub-county. Quantitative data was analyzed using the Statistical Package for Social Sciences (SPSS) Version 25, employing both descriptive and inferential statistics, including multiple regression analysis to determine the relationships between variables. The regression model yielded R = 0.733 and R² = 0.537, indicating that 53.7% of the variance in utilization of HMIS for controlling communicable diseases was explained by the four independent variables. The Adjusted R² = 0.513, suggesting a moderate explanatory power of the model. The ANOVA test results (F = 267.639, p < 0.001) confirmed that the model was statistically significant, implying that the independent variables collectively have a significant influence on HMIS utilization. Further regression analysis revealed that effectiveness of use (β = 0.220, p = 0.035), data metrics (β = 0.608, p < 0.001), and technology (β = 0.551, p < 0.001) significantly influenced HMIS utilization, while government policy (β = 0.008, p = 0.931) had no statistically significant effect. These results indicate that enhanced use of data metrics, improved technological capacity, and effective utilization practices significantly contribute to better use of health information for communicable disease control. The study concludes that optimal use of HMIS in controlling communicable diseases in Habaswein Sub-County depends largely on the accuracy of data metrics, the adoption of modern technology, and the effective use of health data by healthcare providers. It recommends the implementation of comprehensive data quality audits, capacity-building programs on data utilization, and increased technological integration to enhance timely disease detection, reporting, and intervention across all public health facilities.