The impact of geopolitical risk, institutional governance and green finance on attaining net-zero carbon emission.

This research investigates the impact of geopolitical risk, institutional governance and green finance on environmental outcomes, specifically focusing on carbon emissions and ecological footprint. Utilizing the dynamic CS-ARDL method and aggregated mean group analysis on a panel dataset covering 21 nations from 2000 to 2021, our findings reveal that heightened geopolitical risk leads to both short and long run increases in carbon emissions and the ecological footprint. Our study finds both a direct as well as indirect connection between governance, green finance and environmental outcomes in both the short and long run, highlighting the nuanced impact of governance on the formulation of environmental policies and regulatory frameworks. The results emphasize the need for targeted strategies, including focused investments and incentives for sustainable finance, particularly in conflict-affected regions. Furthermore, our research underscores the enduring impact of historical events, such as wars, on contemporary environmental indicators, emphasizing the importance of proactive conflict prevention measures. Our research suggests that policymakers should adopt comprehensive strategies that prioritize emission reduction during short-run spikes in geopolitical risk while maintaining a steadfast commitment to long-run sustainability.

The Uncertainty Assessment by the Monte Carlo Analysis of NDVI Measurements Based on Multispectral UAV Imagery.

This paper proposes a workflow to assess the uncertainty of the Normalized Difference Vegetation Index (NDVI), a critical index used in precision agriculture to determine plant health. From a metrological perspective, it is crucial to evaluate the quality of vegetation indices, which are usually obtained by processing multispectral images for measuring vegetation, soil, and environmental parameters. For this reason, it is important to assess how the NVDI measurement is affected by the camera characteristics, light environmental conditions, as well as atmospheric and seasonal/weather conditions. The proposed study investigates the impact of atmospheric conditions on solar irradiation and vegetation reflection captured by a multispectral UAV camera in the red and near-infrared bands and the variation of the nominal wavelengths of the camera in these bands. Specifically, the study examines the influence of atmospheric conditions in three scenarios: dry-clear, humid-hazy, and a combination of both. Furthermore, this investigation takes into account solar irradiance variability and the signal-to-noise ratio (SNR) of the camera. Through Monte Carlo simulations, a sensitivity analysis is carried out against each of the above-mentioned uncertainty sources and their combination. The obtained results demonstrate that the main contributors to the NVDI uncertainty are the atmospheric conditions, the nominal wavelength tolerance of the camera, and the variability of the NDVI values within the considered leaf conditions (dry and fresh).

Data Management in Multicountry Consortium Studies: The Enterics For Global Health (EFGH) Shigella Surveillance Study Example.

Background: Rigorous data management systems and planning are essential to successful research projects, especially for large, multicountry consortium studies involving partnerships across multiple institutions. Here we describe the development and implementation of data management systems and procedures for the Enterics For Global Health (EFGH) Shigella surveillance study-a 7-country diarrhea surveillance study that will conduct facility-based surveillance concurrent with population-based enumeration and a health care utilization survey to estimate the incidence of Shigella--associated diarrhea in children 6 to 35 months old. Methods: The goals of EFGH data management are to utilize the knowledge and experience of consortium members to collect high-quality data and ensure equity in access and decision-making. During the planning phase before study initiation, a working group of representatives from each EFGH country site, the coordination team, and other partners met regularly to develop the data management systems for the study. Results: This resulted in the Data Management Plan, which included selecting REDCap and SurveyCTO as the primary database systems. Consequently, we laid out procedures for data processing and storage, study monitoring and reporting, data quality control and assurance activities, and data access. The data management system and associated real-time visualizations allow for rapid data cleaning activities and progress monitoring and will enable quicker time to analysis. Conclusions: Experiences from this study will contribute toward enriching the sparse landscape of data management methods publications and serve as a case study for future studies seeking to collect and manage data consistently and rigorously while maintaining equitable access to and control of data.

A Low-Cost, Integrated Immunization, Health, and Nutrition Intervention in Conflict Settings in Pakistan-The Impact on Zero-Dose Children and Polio Coverage.

Pakistan is one of two countries globally still endemic for poliovirus. While increasing immunization coverage is a concern, providing equitable access to care is also a priority, especially for conflict-affected populations. Recognizing these challenges, Naunehal, an integrated model of maternal, newborn, and child health (MNCH), immunization, and nutrition services delivered through community mobilization, mobile outreach, and private-sector engagement was implemented in conflict-affected union councils (UCs) with high poliovirus transmission, including Kharotabad 1(Quetta, Balochistan) and Bakhmal Ahmedzai (Lakki Marwat, Khyber Pakhtunkhwa). A quasi-experimental pre-post-design was used to assess the impact of the interventions implemented between April 2021 and April 2022, with a baseline and an endline survey. For each of the intervention UCs, a separate, matched-control UC was identified. At endline, the proportion of fully immunized children increased significantly from 27.5% to 51.0% in intervention UCs with a difference-in-difference (DiD) estimate of 13.6%. The proportion of zero-dose children and non-recipients of routine immunization (NR-RI) children decreased from 31.6% to 0.9% and from 31.9% to 3.4%, respectively, with a significant decrease in the latter group. Scaling up and assessing the adoption and feasibility of integrated interventions to improve immunization coverage can inform policymakers of the viability of such services in such contexts.

Predictors and disparities in neonatal and under 5 mortality in rural Pakistan: cross sectional analysis.

Background: Adopted in 2015, the sustainable development goals (SDGs) have set specific targets (SDG 3.2) for countries to reduce their neonatal mortality rate (NMR) to below 12 deaths per 1000 live births and under 5 mortality rate (U5MR) to below 25 deaths per 1000 live births by 2030. For Pakistan to achieve these targets, there is a need to measure these rates and understand the predictors of child mortality at sub-national level. Launched in 2016, the Umeed-e-Nau (UeN) or New Hope project is based on scaling up proven and effective Maternal and Newborn Child Health (MNCH) interventions in 8 of the highest burden districts of the country, using existing public sector platforms in Pakistan at both the community and facility level. The primary aim of the project is to reduce perinatal mortality in these districts by 20% from baseline. Methods: We report overall neonatal and post neonatal mortality rates for the two years preceding the UeN baseline household survey. Rates were calculated using the synthetic cohort probability method and predictors of neonatal and post neonatal mortality examined using Cox regression. To investigate spatial variations in the mortality rates, we calculated Moran's I at the district level using predicted probabilities of mortality. Finally, we create district level maps of predicted under 5 child mortality using a stochastic partial differentiation approach. Findings: A total of 26,258 children contributed to the analysis of mortality with 838 deaths in the neonatal period and 2236 under-5 deaths during the observation period from March 1, 2015 to March 17, 2017. Overall, we estimated the NMR to be 29.2 per 1000 live births (95% CI: 26.9-31.4) and the U5MR to be 86.1 per 1000 live births (95% CI: 85.5-86.8). We found evidence of within-district geospatial clustering of under 5 mortality (P < 0.0001) and that social factors (poverty, illiteracy, multiparity), poor coverage of community health workers and distance from health facilities were strongly associated with child mortality. Interpretation: Important factors associated with neonatal and post-neonatal mortality in our study population included maternal education, parity, household size and gender. Additionally, antenatal care coverage (at least 4 visits) was specifically associated with neonatal mortality only, whereas, LHW coverage and distance to health facility were strongly associated with post-neonatal mortality. These findings emphasise the need for comprehensive, multisectoral strategies to be implemented for future maternal and child health programs and outreach services in rural areas. Funding: The study was funded by an unrestricted grant from the Bill & Melinda Gates Foundation to the Aga Khan University (Grant OPP 1148892).

Drivers of malnutrition among late adolescent and young women in rural Pakistan: a cross-sectional assessment of the MaPPS trial.

OBJECTIVE: This study aimed to characterise the burden of malnutrition and assess how underlying determinants at the structural and intermediary levels contributed to malnutrition among late adolescent and young women in rural Pakistan. DESIGN: Cross-sectional enrolment data assessment. SETTING AND PARTICIPANTS: This study was conducted using data from adolescent and young women (n=25 447) enrolled in the Matiari emPowerment and Preconception Supplementation Trial, collected from June 2017 to July 2018 in Matiari District, Pakistan. The WHO-based cut-offs were applied to anthropometric measures to estimate body mass index (BMI) categories (underweight, overweight, obese) and stunting. Hierarchical models were generated to evaluate the association between the determinants with BMI categories and stunting among late adolescent girls and young women, respectively. PRIMARY AND SECONDARY OUTCOME MEASURES: The main outcomes of interest were BMI categories and stunting. Explanatory variables included measures of socioeconomic status, education, occupation, health, well-being, food security, empowerment and food practices. RESULTS: Regardless of age group, the prevalence of underweight was high (36.9%; 95% CI 36.3% to 37.5%). More late adolescent girls were underweight, while more young women were overweight/obese (p<0.001). Stunting affected 9.2% (95% CI 8.9% to 9.6%) of participants, of which 35.7% were additionally underweight and 7.3% overweight/obese. Compared with those in the normal weight category, those underweight were more likely to be impoverished and less empowered. Those overweight/obese were more likely to be from a higher wealth quintile and food secure. Increased education level and food security were associated with reductions stunting risk. CONCLUSIONS: This study informs the data gap and need for comprehensive research on adolescent nutritional status. Findings suggest factors related to poverty played an important, underlying role in undernutrition among participants. Commitment to improving the nutritional status of all adolescent and young women in Pakistan will be critical given the observed burden of malnutrition. TRIAL REGISTRATION NUMBER: NCT03287882.

Time-varying effects of fuel prices on stock market returns during COVID-19 outbreak.

This article explores the impact of fuel price movements on the stock market return of 2020 during the COVID-19 disruptions. In doing so, a monthly data of seven selected stock market indices representing developed and emerging economies globally was used for analysis. The study used a time-varying parameter VAR model to examine a time-varying causal association between oil prices and stock market returns and a novel quantile-causality approach to capture the fluctuations of these markets under COVID-19's varying market conditions. The study further utilises the entropy transfer approach to capture the Granger-causal relationship in the presence of nonlinearities of the data series. The results indicate a high information flow from fuel prices to the FTSE-100, Pacific, and European stock indicies, but not the other way round. The results show that, for the FTSE-100 and the European region, there is a two-way information flow between equities and natural gas, and vice-versa. However, a one-way information flow was established from the stock market to the Pacific and emerging economies.

The gender gap in access to finance: Evidence from the COVID-19 pandemic.

Using gender as a theoretical framework, we analyse the dynamics of debt and equity financing during the COVID-19 pandemic for a cross-country sample of 8,921 private firms. We provide evidence of a slight gender bias in debt financing, with creditors favouring female entrepreneurs when dealing with cash flow problems during the COVID-19 pandemic. We find no evidence of gender bias in equity financing. The results are robust after controlling for a larger number of firm-specific characteristics and selection bias. We challenge the assumption of "gender-based discrimination" in the debt market, speculating that in the context of high uncertainty, prototypical forms of femininity may be advantageous as financial institutions seek to hedge their risk by favouring more conservative borrowers.

Practices and predictors of menstrual hygiene management material use among adolescent and young women in rural Pakistan: A cross-sectional assessment.

Background: In low- and middle-income countries (LMICs), women often use inappropriate materials to manage menstruation, which can threaten their health. Improper practices can also have critical downstream consequences beyond physiologic health, including restricting adolescent girls' access to academic pursuits. Methods: We used cross-sectional data collected through a structured questionnaire from the menstruating adolescents and young women 15-23 years of age living in rural Pakistan (n = 25 305). We aimed to describe menstrual hygiene management (MHM) practices and generate a predictive model of the socioeconomic and demographic factors related to the use of MHM materials. Beliefs and barriers around MHM were also summarized. The outcome variable included: those who practiced appropriate and inappropriate MHM practices. Logistic regression was used to generate the predictive model, with results presented as odds ratios (OR) and 95% confidence interval (CI). Results: Inappropriate MHM practices were reported by 75% (n = 19 006) of participants. The majority 61.9% (n = 15 667) reported using old cloths, 12.6% (n = 3191) used nothing, and 0.5% (n = 136) used old cloth with a sanitary pad. One-fourth of participants reported appropriate MHM material use, including 16.2% (n = 4087) sanitary pads, 8.6% (n = 2167) new cloth, and a few reported using sanitary pads with new cloth 0.2% (n = 45). Inappropriate MHM practices were more common in lowest wealth quintile (OR = 4.41; 95% CI = 2.77-7.01, P < 0.0001), followed by those with no education (OR = 3.9; 95% CI = 3.36-4.52, P < 0.0001). Conclusions: The study indicates the need for multi-sectoral efforts to introduce MHM-specific and MHM-sensitive interventions to improve MHM practices, ranging from the availability of low-cost MHM materials to the inclusion of MHM education in school curriculums and within the community platforms.

An analysis of the gender and social determinants of health in urban poor areas of the most populated cities of Pakistan.

BACKGROUND: Recent surveys, studies and reviews in urban areas of Pakistan have highlighted the impacts of social inequities on access of women and children to health services for women and children in Pakistan. OBJECTIVES: The Urban Slum Profiles and coverage surveys were conducted between 2017 and 2019. The objective of the profiles was to obtain an updated listing of slums and other underserved areas, and to better understand current vaccination and health service coverage in these areas. Utilising findings from these studies, this paper aims to better understand the gender and social determinants of health that are giving rise to health inequalities in the slums. METHODS: The Urban Slum Profiles adopted a mixed methods approach combining both qualitative and quantitative methods. The study was comprised of two main survey approaches of Urban Slum Profiles and Immunisation Coverage Survey in 4431 urban poor areas of the 10 most highly populated cities of Pakistan. RESULTS: Findings are classified into six analytic categories of (1) access to health services, (2) female workforce participation, (3) gender-friendly health services, (4) access to schools and literacy, (5) social connections, and (6) autonomy of decision making. Out of a national sample of 14,531 children in urban poor areas of 10 cities, the studies found that just over half of the children are fully immunised (54%) and 14% of children had received zero doses of vaccine. There are large shortages of health facilities and female health workforce in the slums, with significant gaps in the quality of health infrastructure, which all serve to limit both demand for, and supply of, health services for women and children. Results demonstrate low availability of schools, low levels of female literacy and autonomy over decision making, limited knowledge of the benefits of vaccination, and few social connections outside the home. All these factors interact and reinforce existing gender norms and low levels of health literacy and service access. CONCLUSION: The Urban Slum profiles and coverage studies provide an opportunity to introduce gender transformative strategies that include expansion of a female health workforce, development of costed urban health action plans, and an enabling policy environment to support community organisation and more equitable health service delivery access.

Dietary diversity and social determinants of nutrition among late adolescent girls in rural Pakistan.

The conditions in which adolescent girls mature shape their health, development and nutrition. Nutrient requirements increase to support growth during adolescence, but gaps between consumption and requirements exist in low- and middle-income countries. We aimed to identify and quantify the relationship between dietary intake and diverse social determinants of nutrition (SDN) among a subset of adolescent girls 15-18.9 years (n = 390) enrolled within the Matiari emPowerment and Preconception Supplementation (MaPPS) Trial. The primary outcome, dietary diversity score (DDS), was derived by applying the Minimum Dietary Diversity for Women 10-item scale to 24-h dietary recall data collected three times per participant. To examine the associations between the SDN-related explanatory variables and DDS, we generated a hierarchical, causal model using mixed effects linear regression to account for the cluster-randomized trial design. Using all data, diets lacked diversity (DDS mean ± SD: 3.35 ± 1.03 [range: 1-7; n = 1170]), and the minimum cut-off for dietary diversity was infrequently achieved (13.5%; 95% CI: 11.6-15.6%). Consumption of starches was reported in all recalls, but micronutrient-rich food consumption was less common. Of the SDN considered, wealth quintile had the strongest association with DDS (P < 0.0001). The diets of the sampled Pakistani adolescent girls were insufficient to meet micronutrient requirements. Poverty was the most important predictor of a diet lacking in diversity, indicating limited purchasing power or access to nutritious foods. Dietary diversification and nutrition education strategies alone are unlikely to lead to improved diets without steps to tackle this barrier, for example, through fortification of staple foods and provision of supplements.

Environmental performance and firm financing during COVID-19 outbreaks: Evidence from SMEs.

The COVID-19 pandemic has resulted in substantial constraints for small and medium enterprises (SMEs) worldwide. The techniques in which SMEs handle recent crises and the degree to which environmental performance is advantageous when the marketplace experiences an adverse shock is fairly untouched in the literature. To assess this probability, we examine, using data from 6,597 SMEs in 13 developing countries, the effect of firm environmental efficiency on firm financing during the COVID-19 outbreak. We consider three aspects of external financing - bank, non-bank and trade credit - and suggest that it pays for firms to show devotion to environmental obligations in a global pandemic. Our research implies that the trust between a firm and its stakeholders, if it is based on environmental performance, pays off during periods of shock and adversity.

Age-Based Anthropometric Cutoffs Provide Inconsistent Estimates of Undernutrition: Findings from a Cross-Sectional Assessment of Late-Adolescent and Young Women in Rural Pakistan.

Ambiguity around age ranges for adolescence and adulthood can make the application of age-based nutrition cutoffs confusing. We examined how estimates generated using the age-based anthropometric cutoffs for adolescent girls (10 to <19 y) and women of reproductive age (15-49 y) compared between late-adolescent and young women, and determined how application of both cutoffs affected late-adolescents' estimates. Using cross-sectional data from participants aged 15-23 y in the Pakistan-based Matiari emPowerment and Preconception Supplementation (MaPPS) Trial (n = 25,447), notably large differences in estimates were observed for stunting (30.5% and 7.9% for late-adolescent and young women, respectively; P < 0.001) and thinness (9.3% and 30.8%, respectively; P < 0.001). When both cutoffs were applied to adolescents' data, estimate differences were maintained. With each year of age, the difference for stunting increased and thinness decreased. Given the discrepancies observed both between and within groups, clarity around application of anthropometric cutoffs for youth (aged 15-24 y) is needed. This trial was registered at clinicaltrials.gov as NCT03287882.

Association between first oral examination characteristics and dental treatment needs in privately insured children: A claims data analysis.

BACKGROUND: Early childhood caries (ECC) remains the most common, preventable infectious disease among children in the United States. Screening is recommended after the eruption of the first tooth, but it is unclear how the age at first dental examination is associated with eventual restorative treatment needs. The authors of this study sought to determine how provider type and age at first dental examination are associated longitudinally with caries experience among children in the United States. METHODS: Deidentified claims data were included for 706,636 privately insured children aged 0 through 6 years as part of the nationwide IBM Watson Health Market Scan (2012-2017). The authors used Kaplan-Meier survival analysis to describe the association between the age of first visit and restorative treatment needs. RESULTS: A total of 21% of this population required restorative treatment, and the average age at first dental examination was 3.6 years. A multivariable Cox proportional hazards model showed increased hazard for restorative treatment with age at first dental visit at 3 years (hazard ratio, 2.05; 95% CI, 1.97 to 2.13) and 4 years (hazard ratio, 3.99; 95% CI, 3.84 to 4.16). CONCLUSION: The high proportion of children requiring restorative treatment and late age at first dental screening show needed investments in educating general dentists, medical students, and pediatricians about oral health guidelines for pediatric patients. PRACTICAL IMPLICATIONS: Communicating the importance of children establishing a dental home by age 1 year to parents and health care professionals may help reduce disease burden in children younger than 6 years.

Impact of institutional quality on sustainable development: Evidence from developing countries.

Efficient environmental resource management is a serious concern for sustainable development in developing countries. This study determines the impact of institutional quality on sustainable development, based on total factor productivity improvements through the environmental regulatory process by way of abatement policies using an augmented endogenous sustainable growth model. Based on panel data covering 66 developing countries from 1984 to 2019, the employed methods involve the fixed effects and the system generalized method of moments (GMM). The main results indicate that institutional quality has a positive impact on sustainable development. Institutional quality has a more positive role in sustainable development in lower middle-income countries than low-income countries. The overall results indicate that the disaggregated performance of institutional quality variables is higher in lower middle-income countries than low-income countries. Two main policy implications are implied by our analyses: legislative backing in the form of institutional enforcement is mandatory to design efficient and productive policy relevant to environmental resource management; and various institutional forms should be considered when designing environmental resource protection policy from an environmental governance point of view.

Characterizing Micronutrient Status and Risk Factors among Late Adolescent and Young Women in Rural Pakistan: A Cross-Sectional Assessment of the MaPPS Trial.

Nutritional deficiencies are a leading underlying risk factor contributing to the global burden of disease. In Pakistan, late adolescence is considered a nutritionally vulnerable period, as micronutrient requirements are increased to support maturation, and dietary staples are nutrient poor. However, there has been limited evaluation of micronutrient status beyond anemia and its determinants. Using cross-sectional data from late adolescent and young women (15-23 years) at enrolment in the Matiari emPowerment and Preconception Supplementation (MaPPS) Trial, we aimed to describe the prevalence of key micronutrient deficiencies of public health concern, and generate hierarchical models to examine associations with proxies for social determinants of health (SDoH). The prevalence of micronutrient deficiencies was high: 53.6% (95% confidence interval (CI): 53.0-54.3%) had anemia; 38.0% (95% CI: 36.4-39.6%) iron deficiency anemia; 31.8% (95% CI: 30.2-33.3%) vitamin A deficiency; and 81.1% (95% CI: 79.8-82.4%) vitamin D deficiency. At least one deficiency was experienced by 91.0% (95% CI: 90.1-92.0%). Few SDoH were maintained in the final hierarchical models, although those maintained were often related to socioeconomic status (e.g., education, occupation). To improve the micronutrient status of late adolescent and young women in Pakistan, a direct micronutrient intervention is warranted, and should be paired with broader poverty alleviation methods.

An IoT-Based Deep Learning Framework for Early Assessment of Covid-19.

Advancement in the Internet of Medical Things (IoMT), along with machine learning, deep learning, and artificial intelligence techniques, initiated a world of possibilities in healthcare. It has an extensive range of applications: when connected to the Internet, ordinary medical devices and sensors can collect valuable data, deep learning, and artificial intelligence techniques utilize this data and give an insight of symptoms, trends and enable remote care. Recently, Covid-19 pandemic outbreak caused the death of a large number of people. This virus has infected millions of people, and still, the rate of infected people is increasing day by day. Researchers are endeavoring to utilize medical images and deep learning-based models for the detection of Covid-19. Various techniques have been presented that utilize X-Ray images of the chest for the detection of Covid-19. However, the importance of regional-based convolutional neural networks (CNNs) is currently confined. Thus, this research aimed to introduce an IoT-based deep learning framework for early assessment of Covid-19. This framework can reduce the working pressure of medical experts/radiologists and contribute to the pandemic control. A deep learning-based model, i.e., faster regions with CNNs (Faster-RCNN) with ResNet-101, is applied on X-Ray images of the chest for Covid-19 detection. It uses region proposal network (RPN) to perform detection. By employing the model, we achieve a detection accuracy of 98%. Therefore, we believe that the system might be capable in order to assist medical expert/radiologist, to verify early assessment toward Covid-19.

Evaluating implementation of "management of Possible Serious Bacterial Infection (PSBI) when referral is not feasible" in primary health care facilities in Sindh province, Pakistan.

BACKGROUND: The World Health Organization (WHO) launched a guideline in 2015 for managing Possible Serious Bacterial Infection (PSBI) when referral is not feasible in young infants aged 0-59 days. This guideline was implemented across 303 Basic Health Unit (BHU) Plus primary health care (PHC) facilities in peri-urban and rural settings of Sindh, Pakistan. We evaluated the implementation of PSBI guideline, and the quality of care provided to sick young infants at these facilities. METHODS: Thirty (10%) out of 303 BHU Plus facilities were randomly selected for evaluation. A survey team visited each facility for one day, assessed the health system support, observed the management of sick young infants by health care providers (HCP), validated their management, interviewed HCPs and caretakers of sick infants. HCPs who were unable to see a young infant on the day of survey were evaluated using pre-prepared case scenarios. RESULTS: Thirty (100%) BHU Plus facilities had oral amoxicillin, injectable gentamicin, thermometers, baby weighing scales and respiratory timers available; 29 (97%) had disposable syringes and needles; 28 (93%) had integrated management of childhood illness (IMCI)/PSBI chart booklets and job aids and 18 (60%) had a functional ambulance. Each facility had at least one HCP trained in PSBI, and 21 (70%) facilities had been visited by a supervisor in the preceding six months. Of 42 HCPs, 19 (45.3%) were trained within the preceding 12 months. During the survey, 26 sick young infants were identified in 18 facilities. HCPs asked about history of breastfeeding in 23 (89%) infants, history of vomiting in 17 (65%), and history of convulsions in 14 (54%); weighed 25 (97%) infants; measured respiratory rate in all (100%) and temperature in 24 (92%); assessed 20 (77%) for movement and 14 (54%) for chest indrawing. HCPs identified two infants with fast breathing pneumonia and managed them correctly per IMCI/PSBI protocol. HCPs identified six (23%) infants with clinical severe infection (CSI), two of them were referred to a higher-level facility, only one accepted the referral advice. Only one CSI patient was managed correctly per IMCI/PSBI protocol at the outpatient level. HCPs described the PSBI danger signs to eight (31%) caretakers. Caretakers of five infants with CSI and two with pneumonia were not counselled for PSBI danger signs. Five of the six CSI cases categorized by HCPs were validated as CSI on re-examination, whereas one had pneumonia. Similarly, one of the two pneumonia patients categorized by HCPs had CSI and one identified as local bacterial infection was classified as CSI upon re-examination. CONCLUSION: Health system support was adequate but clinical management and counselling by HCPs was sub-optimal particularly with CSI cases who are at higher risk of adverse outcomes. Scaling up PSBI management is potentially feasible in PHC facilities in Pakistan, provided that HCPs are trained well and mentored, receive refresher training to appropriately manage sick young infants, and have adequate supplies and counselling skills.

Moderating role of cynicism about organizational change between authentic leadership and commitment to change in Pakistani public sector hospitals.

PURPOSE: This study aims to explore the moderating role of cynicism about change in the positive relationship between authentic leadership and employee commitment to change. DESIGN/METHODOLOGY/APPROACH: This study used an exploratory research design with deductive approach to invite responses of doctors, nurses and para medical staff of public sector district hospitals, set to be privatized, on structured close-ended questionnaires. Data gathered from four hospitals chosen because they were undergoing restructuring that facilitated the testing of our propositions were analyzed through structural equation modeling using AMOS. A total of 271 usable responses (response rate of 65 per cent) were analyzed. Interaction and simple slope tests were applied to test moderating effects. FINDINGS: Results indicate that authentic leadership is positively related to commitment to change. Cynicism about change moderated this positive relationship such that a high level of authentic leadership has a stronger impact on commitment to change when cynicism is low rather than when cynicism is high. PRACTICAL IMPLICATIONS: Results show that in Pakistani hospitals undergoing restructuring, leaders who use authentic leadership will have followers who are more committed to enacting the planned changes, but this effect is magnified if followers are not cynical about the change. Thus, regulators of public sector hospitals may benefit from this study by developing authenticity in hospital leaders to mitigate cynicism about and enhance their commitment to change. ORIGINALITY/VALUE: This study is the first which has explored relationships among cynicism about change, authentic leadership and commitment to change in a privatization context of Pakistan. Findings should be tested in other cultural contexts to determine generalizability.

Motivation and factors affecting sports participation: a cross-sectional study on female medical students in Pakistan.

OBJECTIVE: To determine the factors associated with participation of Pakistani female students in organised sports at a university in a rural setting in Pakistan. METHODS: This cross-sectional study was conducted during March and April 2017 at the Peoples University of Medical & Health Sciences for Women, Nawabshah in the Sindh province of Pakistan, and comprised undergraduate female students who got injured during the "Sports Week" organized at the university and visited the on-site physiotherapy camp. Data collection tools included physical activity and leisure motivation scale, sport motivation scale, and athlete fear avoidance questionnaire. SPSS v20 was used for data analysis. RESULTS: Of the 403 students participating in the Sports Week, sports injuries were reported by 127(31.51%) students. Regular physical activity was reported by only 28(22%) participants. Overuse was the most common cause of sports injuries 67(52.8%). Ankle was the main affected site 31(24.4%). The most common injury types were cramps 59(46.5%) and sprains 58(45.7%). Use of improper technique was observed in 61(48%) students. The most common intrinsic motives were 'enjoyment', with a mean value of 21.3±2.71, and 'to know' 21.71±5.2. The most common extrinsic motives were 'physical condition', with a mean value of 21.51±2.81, and 'identified regulation' 21.74±5.6. CONCLUSIONS: Prevalence of sports injuries in female university students was high. The students should be trained about the proper way of sports participation.