Conducting a Comprehensive Assessment of the Public Health Workforce: Lessons Learned and Opportunities for the Future.

Indiana was one of the earliest states to conduct a comprehensive public health workforce assessment in preparation for the use of federal funds for infrastructure strengthening. Experiences from this assessment provide insights that may be useful to other public health agencies and partners. This brief summarizes key lessons and highlights opportunities for improved workforce assessments. For example, the lack of standardized job titles within local health departments (LHDs) can be mitigated by collecting the top 3 job tasks employees engage in daily and reassigning standardized titles based on nationally collected workforce data. This facilitates comparisons across LHD employees nationally. In addition, many employees felt their job tasks did not align well with the Foundational Public Health Services (FPHS) areas and capabilities, which contributed to the likely overestimation of effort. Further consideration of how to better align and/or integrate FPHS assessment within current practice is needed in addition to improved ways of assessing efforts toward FPHS.

Balancing fiscal expenditure competition and long-term innovation investment: Exploring trade-offs and policy implications for local governments.

The mobility of economic factors across jurisdictions has led to increased fiscal competition among decentralized subnational governments. This study examines the relationship between fiscal competition and long-term investment in innovation at the local government level. Panel data analysis, encompassing expenditures, taxes, and innovation inputs from 18 municipalities over a 10-year period, is employed using fixed effects regression. The results reveal a negative correlation between fiscal competition and expenditure on innovation, indicating that intensified competition for mobile capital diverts resources away from essential long-term investments crucial for knowledge-driven growth. Even after controlling for economic and institutional factors, a one standard deviation increase in competition corresponds to an average decline of 25% in per capita innovation investment. These findings highlight the unintended trade-off resulting from heightened competition and underscore the need for policy frameworks that promote localized flexibility while curbing uncoordinated competition that undermines innovation capacity. While fiscal decentralization aims to foster competitive governance, this study provides empirical evidence that short-term expenditure incentives often displace long-term innovation objectives without sufficient coordination. The insights contribute significant empirical evidence on the concealed costs of fiscal competition for regional development. Consequently, a re-evaluation of conventional perspectives on decentralization and competition is warranted, emphasizing the importance of developing cooperative policy solutions that strike a delicate balance between decentralized decision autonomy and strategic coordination. Adopting such an approach is essential to fully leverage the advantages of competitive governance while simultaneously nurturing innovation ecosystems.

KNOWLEDGE OF MPOX AMONG PRIMARY HEALTH CARE (PHC) WORKERS IN JOS NORTH LOCAL GOVERNMENT AREA, PLATEAU STATE. NIGERIA.

Introduction: Mpox (MPX) is a viral zoonotic (a virus transmitted to humans from animals) disease caused by Mpox virus currently spreading across the world. Primary healthcare workers are fundamental in the provision of healthcare at the grassroots level. They are the front-line health managers who are expected to meet the needs of their community and prevent the spread of Mpox in Nigeria. This study aims to assess the knowledge of Mpox among Primary Health Care (PHC) Workers in Jos North Local Government Area, Plateau State. Methodology: The study is a descriptive cross-sectional study to assess the knowledge, attitude, and perception of Mpox among 152 Primary Health Care (PHC) workers in Jos North, LGA. A multistage sampling technique and a structured interviewer-administered questionnaire were used to collect data. Results: Majority of the participants, 118 (77.6%) were females, while 34 (22.4%) of the participants were males. Most of the participants 46 (30.3%) were within the age group of 31 to 40 years, Most Respondents had poor knowledge on Mpox in general 70 (46.1%), 19 (12.5%) demonstrated a good knowledge of Mpox; 63 (41.4%) had moderate knowledge in terms of clinical presentations, prevalence, and vaccine availability. Most respondents were knowledgeable with regards to Mpox being preventable (89.5%) and the knowledge of some preventive measures. Conclusion: Government and Primary Healthcare Development Agency (PHCDA) should intensify efforts to sensitize the PHC workers on Mpox infection through seminars and workshops, as well as on preventive measures already in place. The PHC workers should make a personal effort to learn more about Mpox infection, its prevention, and control.

Awareness of the effects of small-scale cassava mill effluent on the environment in Ika North East Local Government Area, Delta State, Nigeria.

The threat of environmental pollution in Nigeria, particularly in the Niger Delta region, cannot be solely ascribed to oil spillages; rather, it also encompasses the discharge of cassava mill effluent (CME), frequently disposed off in an unregulated manner. Existing studies on CME have focused on its potential environmental consequences on soil characteristics, microbial populations, and heavy metal levels. There is limited study on the awareness of the impact of CME on the environment. Thus, this study contributes to the literature on CME by examining the awareness of its effect on the environment in Ika North East Local Government Area of Delta State, Nigeria. The study used interviews, observation, and questionnaires administered to 399 respondents for data collection. A Student t-test, ANOVA, and Pearson's correlation were employed to analyse the data in Statistical Package for the Social Sciences. Results revealed limited awareness, with 51.3% unaware of CME's environmental impact. Slight, moderate, and extreme awareness were reported by 7.5%, 17.3%, and 23.8%, respectively. Gender's influence on awareness was insignificant, but age showed a significant influence (p < 0.05), while education, occupation, and income correlated positively with awareness (p < 0.001). The source of information significantly predicted awareness (r = -0.727, p < 0.001). It indicates that gender's influence on awareness might depend on education levels. Socio-economic factors are strongly related to awareness. Reliable information sources are vital for understanding CME's environmental impact. The study underscores the need for enhanced environmental education and reliable information dissemination to promote sustainable practices.

Improving social resilience amid the COVID-19 epidemic: A system dynamics model.

Social resilience is a key factor in disaster management, but compared to resilience in other fields, research on social resilience is still limited to assessment or evaluation, and there is still a lack of dynamic and procedural research, which is also a challenge. This article constructs a causal feedback model and a system dynamics model of social resilience during the COVID-19 epidemic, so as to analyze the dynamic characteristics and improvement path of social resilience. After verifying the effectiveness of the model, model simulation is conducted and the following important conclusions are drawn: social resilience dynamically changes during the research cycle and is influenced by social entity behavior and social mechanisms; The sensitivity factors for the two variables that measure social resilience, namely panic degree and damage degree, are the real-time information acquisition of public and the epidemic awareness of local government, respectively. Therefore, the path to enhancing social resilience should be pursued from both the public and government perspectives, including improving the public's ability to access real-time information, increasing the timeline of government information disclosure, and enhancing local governments' understanding and awareness of the epidemic.

"Be honest and gain trust": a population health study to understand the factors associated with building trust in local government related to COVID-19 and vaccination in three historically disinvested neighborhoods in New York City.

Background: Distrust in government among people of color is a response to generations of systemic racism that have produced preventable health inequities. Higher levels of trust in government are associated with better adherence to government guidelines and policies during emergencies, but factors associated with trust and potential actions to increase trust in local government are not well understood. Methods: The COVID-19 Community Recovery study sampled participants from the New York City (NYC) Department of Health and Mental Hygiene's NYC Health Panel, a probability-based survey panel who complete health surveys periodically. Participants who lived in one of three historically disinvested communities in NYC where the NYC Department of Health and Mental Hygiene has dedicated resources to reduce health inequities were included. The cross-sectional survey was fielded from September 30 to November 4, 2021 and could be self-administered online or conducted via CATI (Computer Assisted Telephone Interviewing) in English, Spanish, and Simplified Chinese (Mandarin and Cantonese by phone). Demographic data were summarized by descriptive statistics. Crude and adjusted logistic regression analyses were used to assess factors predictive of trust in local government as a source of information about COVID-19 vaccines. Open-ended responses about strengthening residents' trust in local government were coded using an iteratively generated codebook. Results: In total, 46% of respondents indicated NYC local government was a trusted source of information about COVID-19 vaccines, relatively high compared to other sources. In bivariate analyses, race/ethnicity, age group, educational attainment, length of time living in NYC, and household income were significantly associated with identifying NYC government as a trusted source of information about COVID-19 vaccines. In multivariable logistic regression, no variables remained significant predictors of selecting local government as a trusted source of information. Key recommendations for local government agencies to build residents' trust include communicating clearly and honestly, addressing socioeconomic challenges, and enhancing public COVID-19 protection measures. Conclusion: Study findings demonstrate that nearly half of residents in three historically divested NYC communities consider local government to be a trusted source of information about COVID-19 vaccines. Strategies to increase trust in local government can help reduce community transmission of COVID-19 and protect public health.

Multisource surveillance conducted by the Tokyo Metropolitan Government during the Tokyo 2020 Olympic and Paralympic Games.

The Tokyo 2020 Olympic and Paralympic Games (the Games) were held from 23 July to 5 September 2021 in Tokyo, Japan, after a 1-year delay due to the coronavirus disease (COVID-19) pandemic. The Tokyo Metropolitan Government was responsible for monitoring and responding to infectious disease outbreaks other than COVID-19 during the Games. A multisource surveillance system was used from 1 July to 12 September 2021 for the early detection and rapid response to infectious diseases. This included routine notifiable disease surveillance, sentinel surveillance, syndromic surveillance, cluster surveillance, ambulance transfer surveillance and the Tokyo Infectious Alert system. Daily reports were disseminated summarizing the data collected from the multisource surveillance system. No case of infectious disease under the Tokyo Metropolitan Government system required a response during the Games. The multisource surveillance was useful for providing intelligence during the Games and, if required, could contribute to the early detection and rapid response to outbreaks during other mass gatherings. The system could be improved to overcome the challenges implied by the findings of this multisource surveillance.

Effectivenes of incentive constraint policies in enhancing green bond credit rating and certification: A theoretical and empirical study.

This paper aims to effectively reduce CO2 emissions by examining the impact of three distinct incentive and constraint policies on the quality of rating and certification information in China's green bond issuance market. To accomplish this, the government has implemented incentives, while regulators have introduced constraints to curb the spread of inflated rating and certification information. We build on the integrated rating and certification regulation mechanism by presenting a two-stage Stackelberg game model that involves four key participants: the China Securities Regulatory Commission, local governments, green evaluation and certification agencies, and credit rating agencies. We incorporate environmental effects indicators into the expected utility of rating and certification agencies to investigate the equilibrium conditions under three policy scenarios: a single financial incentive policy, a single regulatory constraint policy, and a combined incentive and constraint policy. The paper employs Stackelberg game theory to analyze how different policies mitigate the occurrence of "inflated" ratings and "greenwashing" in certifications. Numerical analysis is conducted to validate the theoretical findings. Moreover, we assess the impact of these policies on the quality of rating and evaluation information, using data from China's green bond issuance market between 2016 and 2021. Our research offers valuable management insights and regulatory recommendations for both regulators and local governments.

Analysis of land use and land cover change using machine learning algorithm in Yola North Local Government Area of Adamawa State, Nigeria.

The dynamic use of land that results from urbanization has an impact on the urban ecosystem. Yola North Local Government Area (Yola North LGA) of Adamawa state, Nigeria, has experienced tremendous changes in its land use and land cover (LULC) over the past two decades due to the influx of people from rural areas seeking for the benefits of its economic activities. The goal of this research is to develop an efficient and accurate framework for continuous monitoring of land use and land cover (LULC) change and quantify the transformation in land use and land cover pattern over a specific period (between 2002 and 2022). Land sat images of 2002, 2012, and 2022 were obtained, and the Support Vector Machine classification method was utilized to stratify the images. Land Change Modeler (LCM) tool in Idrissi Selva software was then used to analyze the LULC change. SVM produced a good classification result for all three years, with 2022 having the highest overall accuracy of 95.5%, followed by 2002 with 90% and 2012 with 87.7% which indicates the validity of the algorithm for future predictions. The results showed that severe land changes have occurred over the course of two decades in built-up (37.32%), vegetation (forest, scrubland, and grassland) (-3.27%), bare surface (-33.47%), and water bodies (-0.59%). Such changes in LULC could lead to agricultural land lost and reduced food supply. This research develops a robust framework for continuous land use monitoring, utilizing machine learning and geo-spatial data for urban planning, natural resource management, and environmental conservation. In conclusion, this study underscores the efficacy of support vector machine algorithm in analyzing complex land use and land cover changes.

Patient satisfaction with post-operative surgical services and associated factors at Addis Ababa City government tertiary hospitals' surgical ward, cross-sectional study, 2022.

Introduction: patient satisfaction is an attitude resulting from a person's general orientation towards the total experience of health care. The study was done with the aim of evaluating post-operative patient satisfaction level with the quality of service provided at the surgical wards; determining how much factors related to physicians, nursing, laboratory, and information provision service influence satisfaction level; and determining factors impacting patient satisfaction level. Methods: a hospital-based quantitative cross-sectional study design was conducted in six Addis Ababa City Government tertiary hospitals from November 4th to December 13th, 2022. Patients who had major operations done at the government hospitals from November 21st to December 5th, 2022, were included in the study population. A pre-tested, structured, and Amharic-version questionnaire was used to interview patients. A bivariate and multivariate logistic regression model was used to identify the variables that had an association with the dependent variable. P-values less than 0.05 were considered statistically significant. Results: a total of 287 patients participated in the research, providing a response rate of 95%. Of the total participants, 144 were males (50.8%) and 143 were females (49.5%). The overall patient satisfaction level with surgical ward service is 96.2%. The level of patient satisfaction with nursing services is 94.8%, with physician's services it is 98.6%, with the facility it is 92.3%, and with the provision of information about post-operative complications it is 69.7%. Those who have above-first-degree educational status are less satisfied (66.7%) than patients with other levels of educational status. Only the patients' residency showed a small level of association (r= 0.145, p=0.014) with overall patient satisfaction with surgical ward service among the demographic components. The two variables that are strongly correlated with patient satisfaction are the adequacy of the time ward nurses spent with patients during evaluation and treatment (r = 0.503, p = 0.000) and adequate nurses' response to patients' calls (r = 0.498, p = 0.000). Post-operative patient satisfaction with surgical ward nursing service, physician service, hospital facilities, and the provision of information about post-op complications explain about 40.9 percent of the variation in the overall patient satisfaction with post-op care provided at the surgical ward. Patient satisfaction with nursing service has more significant effect with overall patient satisfaction than the other variables (ß = 0.266, p =0.0002). Conclusion: post-operative patients at Addis Ababa City Government Tertiary Hospitals expressed a very high degree of satisfaction with the care they received in the surgical wards. The study also found that patients were generally less satisfied with the information they were given on drugs, side effects, and available treatment options. Another factor identified in the study that caused unhappiness was the unavailability of some pharmacy and laboratory services.

Does the setting of local government economic growth targets promote or hinder urban carbon emission performance? Evidence from China.

Growth target management drives China's economic expansion, leading to potential carbon emission externalities. This study examines the impact of economic growth target setting on carbon emission performance in 257 Chinese localities from 2004 to 2020. Using cluster standard error regression, 2SLS instrumental variable regression, and the spatial Durbin model, the results show that moderate growth targets improve urban carbon emission performance. Conversely, aggressive targets do not enhance regional carbon emission performance. Moderate growth targets foster innovation in green technology, while aggressive ones encourage investment in fixed assets and new city growth, impeding performance. Cities in the eastern and western regions, with larger populations and less reliance on natural resources, benefit more from effective economic development targets. The establishment of local targets negatively affects neighboring regions' carbon emissions performance, particularly at a spatial scale of 100 to 200 km. This paper contributes to understanding the environmental consequences of growth target setting and offers insights for balancing economic growth with carbon emission governance in emerging market countries.

Ground water quality evaluation using hydrogeochemical characterization and novel machine learning in the Chikun Local Government Area of Kaduna State, Nigeria.

The investigation collected 50 random water samples from wells and bore holes in the five wards. In the meantime, the Water Quality Index (WQI) in this region was assessed using a novel machine learning model. In this sphere of science, the Emotional Artificial Neural Network (EANN) was used as an innovative technique. The training dataset comprised 80% of the available data, while the remaining 20% was used to assess the performance of the network. The laboratory analysis revealed that the levels of magnesium (0.581 mg/L), mercury (0.0143 mg/L), iron (0.82 mg/L), lead (0.69 mg/L), calcium (2.03 mg/L), and total dissolved solid (105 mg/L) in the water sample were quite high and exceeded the maximum permissible limits established by the National Standard Water Quality (NSWQ) and Water Quality Association (WQA). Except for magnesium, mercury, iron, and lead, all physicochemical parameters are below the utmost permissible limit. Results showed that hydrogeological effects and anthropogenic activities, such as waste management and land use, impact groundwater pollution in the Chikun Local Government Area of Kaduna State up to 60 m deep. The results of the EANN showed that R2 index and normalized root mean square error (RMSENormalized) values for the training and test stages are 0.89 and 0.18, and 0.83 and 0.23, respectively.

Local government debt and labor income share: Evidence from China.

This study employs a CES production function to construct a theoretical model of labor income share and uses a two-way fixed effects model to test the causal effects of local government debt (LGD) on the labor income share of enterprises. Local government debt governance policies are utilized as exogenous shocks, and a DID (Difference-in-Differences) model is applied for endogeneity testing. The results have passed a series of robustness checks. The findings suggest that LGD decreases the share of firms' labor income. The mechanism analysis suggests that LGD lowers the labor remuneration of residents, the employment of labor in enterprises, and the size of bank loans mainly; while raising the cost of using funds in enterprises. Moreover, this negative effect is more apparent in non-state-owned enterprises, small and medium-sized enterprises, and enterprises with high financing constraints. This study presents new evidence on how the labor income share of enterprises is affected from the perspective by local governments in China. It has important implications for further deepening local government debt governance and achieving common prosperity.

Exploring the carbon emission reduction effect of local government attention: an analysis based on an environmental policy perspective.

Government attention and policy implementation are important for achieving environmental goals. This study uses 257 cities in China from 2013-2019 as the sample and measures local government attention through text mining, thus exploring the carbon emission reduction effect of government attention. Threshold regression is further used to examine the role and nonlinear relationship that environmental policies assume in the effect of government attention on carbon emission reduction. The conclusions are as follows: first, government attention can significantly reduce carbon emissions: with a 1% increase in local government attention to environmental protection, China's urban CO2 can be reduced by 0.04%. Second, the impact of government attention on carbon emissions is more significant in cities in non-air pollution prevention areas, in non-SO2 and acid rain control areas, with longer tenure of officials, and with female officials serving during the sample period. Third, the effect of government attention on carbon emission reduction can be significantly increased under policy influence, especially when two policies are implemented in concert. Fourth, market incentive policies play a stronger role in the first place, while traditional energy-saving policies have strong sustainability. In general, the study concludes that municipalities should allocate more attention to the environment, and it gives some reasons supporting policy choices.

Improvement of road safety management systems of local governments in Korea after evaluating related indicators.

This study analyzes what has changed in the road safety management systems (RSMS) of local governments after evaluating the related indicators continuously from 2015 to 2019. It has evaluated 24 indicators in four areas of RSMS such as institutional management, intervention, intermediate outcome, and the final outcome, according to Han and Lee (2020). It seems that continuous evaluation of indicators of RSMSs in local governments for five years has helped to improve road safety performance in local governments. The result shows that the average overall scores have increased from 77.92 to 83.89, a 7.7% increase. This improvement should have resulted from the competition between local governments, which do not want to be at the bottom in the score comparison. The most remarkable increase has been identified in the areas of institutional management and intervention. They have increased by 13.3% and 16.0%, respectively. In terms of types of local governments, it has been found that the increase in overall scores is higher in provinces which include most rural areas than in metropolitans. However, it has been found that the improvement of institutional management and interventions are not directly associated with the increase of the intermediate and final outcomes, at least during the five years. Further studies examining the relationship between the four areas of RSMS are needed.

Assessing the barriers and facilitators of climate action planning in local governments: a two-round survey of expert opinion.

BACKGROUND: Climate change is one of the greatest threats to public health in this century. The UK is one of six countries that has enshrined in law a commitment to become net zero by 2050. However, there is a lack of guidance and structure for local government in the UK, which has responsibility for public health, to reach this goal and help their communities mitigate and adapt to the health and health inequality impacts of climate change. This study aimed to identify common barriers and facilitators related to addressing the health and health inequality impacts of climate change in local governments. METHODS: Using Normalisation Process Theory, we developed a two-round survey for people working in local authorities to identify the barriers and facilitators to including the health and health inequality impact of climate change in their climate action plans. The survey was delivered online via Qualtrics software. In the first-round respondents were able to express their views on barriers and facilitators and in the second round they ranked common themes identified from the first round. Two hundred and fifty people working in local government were invited to take part and n = 28 (11.2%) completed the first round of the survey and n = 14 completed the second round. Thematic analysis was used in Round 1 to identify common themes and weighted rankings were used to assess key barriers and facilitators in Round 2. RESULTS: Key facilitators were the need to save money on energy, and successful partnership working already in place including across local government, with local communities and external stakeholders. Key barriers were insufficient staff, resources and lack of support from management/leaders, and lack of local evidence. CONCLUSION: To mitigate and adapt to the health impacts of climate change, local government must nurture a culture of innovation and collaboration to ensure that different departments work together This means not just working with external partners, but also collaborating and co-producing with communities to achieve health equity and mitigate the debilitating effect of climate change on public health.

Harnessing community expertise in understanding food insecurity to inform responses in a local government area in Victoria, Australia: a mixed methods photovoice study.

BACKGROUND: Local food systems which support affordable, equitable, accessible, and sustainable food are important to enhance food access and reduce food insecurity. Cardinia Shire Council, a local government in Victoria, Australia has developed and endorsed a 'Community Food Strategy' to support their local food system and food security. This study aimed to explore local government community member perspectives regarding food access within their local food environment, and suggested areas to be addressed to better support access. METHODS: A sequential mixed methods photovoice methodology was implemented. Participants aged over 18 years, who resided in Cardinia Shire, completed an online quantitative survey to explore demographics, food access and food security status and severity (18-item USDA Household Food Security Survey Module). The qualitative photovoice method was used, whereby participants were asked to take photographs that represent their experiences of food access. These photographs were used as prompts in a semi-structured interview Interview data were thematically analysed. RESULTS: Seventeen participants completed the study, of which five participants experienced varied severity levels of food insecurity. From the photovoice interviews four themes were developed: 1) Food: a connector to self, people and place, 2) Influencers of food access and triggers for food insecurity, 3) Savvy food literacy skills to support access to food, 4) Consequences of and struggles with food insecurity. Participants suggested recommendations for action to support future food access in their community. CONCLUSIONS: While food choice is influenced by a range of determinants, the local food environment greatly impacts both food access and food choice. A supportive local food system which promotes inclusion of a community voice, community connectedness, food literacy and physical and economic access to local produce is crucial to support food security.

Global issues, local action: exploring local governments use of research in "tackling climate change and its impacts on health" in Victoria, Australia.

BACKGROUND: Local government plays an important role in addressing complex public health challenges. While the use of research in this work is important, it is often poorly understood. This study aimed to build knowledge about how research is used by investigating its use by local government authorities (LGAs) in Victoria, Australia in responding to a new legislative requirement to prioritise climate and health in public health planning. The role of collaboration was also explored. METHODS: Informed by Normalization Process Theory (NPT), this study adopted multiple research methods, combining data from an online survey and face-to-face interviews. Quantitative data were analysed using descriptive statistics; thematic analysis was used to analyse qualitative data. RESULTS: Participants comprised 15 interviewees, and 46 survey respondents from 40 different LGAs. Research was most commonly accessed via evidence synthesis, and largely used to inform understanding about climate and health. When and how research was used was shaped by contextual factors including legislation, community values and practical limitations of how research needed to be communicated to decision-makers. Collaboration was more commonly associated with research access than use. CONCLUSIONS: Greater investment in the production and dissemination of localised research, that identifies local issues (e.g. climate risk factors) and is tailored to the communication needs of local audiences is needed to foster more impactful research use in local public health policy.

Prevalence of non-communicable diseases and risk factors of pre-eclampsia/eclampsia in four local government areas in Nigeria: a cross-sectional study.

OBJECTIVES: To assess the prevalence of non-communicable diseases (NCDs) and risk factors associated with pre-eclampsia and eclampsia (PE/E) in women of reproductive age (WRA) in Nigeria. DESIGN: A cross-sectional survey was administered to the entire study population. In the point-of-care testing, physical and biochemical measurements were taken in a subset of the participants. SETTING: The study was conducted in the Ikorodu and Alimosho local government areas (LGAs) in Lagos and the Abuja Municipal Area Council and Bwari LGAs in the Federal Capital Territory. PARTICIPANTS: Systematic random sampling was used to randomly select and recruit 639 WRA (aged 18-49 years) between May 2019 and June 2019. OUTCOME MEASURES: Prevalence of select NCDs (hypertension or raised blood pressure, diabetes or raised blood sugar levels, anaemia, truncal obesity and overweight/obesity) and risk factors associated with PE/E (physical activity, fruit and vegetable consumption, alcohol consumption and smoking). RESULTS: The prevalence of raised blood pressure measured among the WRA was 36.0% (95% CI 31.3% to 40.9%). Approximately 10% (95% CI 7.2% to 13.4%) of participants had raised blood sugar levels. About 19.0% (95% CI 15.3% to 23.2%) of the women had moderate or severe anaemia. Excluding WRA who were pregnant, 51.9% (95% CI 45.7% to 58.0%) of the women were either overweight or obese based on their body mass index. Approximately 58.8% (95% CI 53.8% to 63.6%) of WRA surveyed reported three to five risk factors for developing NCDs and PE/E in future pregnancies. CONCLUSIONS: The study identified a high prevalence of NCDs and associated PE/E risk factors in surveyed women, signifying the importance of early detection and intervention for modifiable NCD and associated PE/E risk factors in WRA. Further research is necessary to assess the national prevalence of NCDs.