Adequate Test Data Generation using Evolutionary Algorithms

Software Testing is a approach where different errors and bugs in the software are identified. To test a software we need the test data. In this thesis, we have developed the approach to generate test data automatically from some initial random test data using Evolutionary Algorithms (EA) and test the software to detect the presence of errors, if any. We have taken two measures, they are path coverage and adequacy criterion to test the validation of our approach. In our first approach, we have used simple Genetic Algorithm (GA) to find the test data. We then used an memtic algorithm to curb the difficulties faced by using GA. We are using the instrumented program to find the paths. We then represent the program into a Control Flow Graph (CFG). We have used genetic algorithm to find the more optimal test data that covers all the feasible test paths from some initial random test data automatically. Path coverage based testing approach generates reliable test cases. A test case set is reliable if it's execution ensures that the program is correct on all its inputs. But, Adequacy requires that the test case set detect faults rather than show correctness. Hence, for adequacy based testing we uses the concept of mutation analysis. Here, we have taken the mutation score as our fitness function in the approach. We find out the mutation score from using mutation testing based tool called "MuJava". And then generate test data accordingly. We applied a more complex hybrid approach to generate test data. This algorithm is a hybrid version of genetic algorithm. It produces better results than the results generated by using GA. Also it curbs various problems faced by G

A conceptual framework on health professionals' engagement towards pharmacovigilance: a qualitative exploration

Background: With the growing reliance on drug therapy in the recent era, the safety of medications is one of the vital parameters for the success of any medicine. Considering this, pharmacovigilance (PV) was developed to provide adequate identification, reporting, evaluation, and understanding of adverse drug reactions (ADR). The objective of this study was to understand the opinion of health care providers on PV, the current reporting mechanisms, identifying the causes for underreporting, and the existing process in clinical practice.Methods: A qualitative study using pretested interview guide was conducted among 20 different cadres of healthcare personnel (doctors, pharmacists, and staff nurses) from various hospitals such as government, private, corporate, and medical college of Odisha state. The data were analysed using a thematic analysis. The meaning units have been identified from the transcript and coded with MAXQDA software (MAXQDA Analytics Pro 2020, VERBI GmbH Berlin).Results: Participants showed a lack of awareness regarding the concept of PV. A cluster of challenges such as lack of ADR monitoring, non-conducive work atmosphere and lack of cooperation between staff, lack of knowledge among the health professionals, and fear of legal liability as major pitfalls causing poor ADR reporting. To enhance the pharmacovigilance practice, participants suggested context-specific strategies such as IEC activities, innovative ideas to improve ADR monitoring, regular monitoring.Conclusions: Capacity building through training, regular monitoring and supervision to strengthen the pharmacovigilance practices is the current need in India

Epidemiology of obesity and its related morbidities among rural population attending a primary health centre of Odisha, India

Context: Overweight and obesity has become a major contributor to global burden of chronic diseases and disability. Obesity among rural India is emerging as a major health problem because of change in lifestyle and food habits, thereby increases the risk of multiple morbid conditions among rural population. Aims: This study aims to find out the association of overweight/obesity with different socio-demographic factors and explore the co-morbidities among overweight and obese in a rural setting. Settings and Design: A cross-sectional study was done in a randomly selected primary health centre of Khurda district, Odisha for 4 months. Materials and Methods: This study was done among 183 patients aged >20 years with BMI >25 kg/m2 after taking their consent. Anthropometric measurements were done and data were collected using a semi-structured questionnaire. Statistical Analysis Used: Descriptive statistics such as proportion, mean and standard deviation were calculated and inferential statistics such as Chi-square test, univariate and multivariate regression was done using the SPSS version 20.0. Results: Mean age of participants was 45.7 (±13.8) years. About 93.4% were Grade II obese while 51.9% were at risk according to their waist–hip ratio. Around 53.6% of participants had multi-morbidity. Age, occupation and number of children were significantly associated with obesity. Morbidity was significantly associated with age, occupation, marital status and number of children. Increased grade in obesity the more is the probability of having morbidity. Conclusions: There is an urgent need to screen for obesity at rural health facility and early management for prevention from co-morbidities

Access to maternal and child health services during the COVID-19 pandemic: An explorative qualitative study in Odisha, India

Background: Maternal and child health (MCH) care is one of the essential routine healthcare services, which got affected during the coronavirus disease 2019 (COVID-19) pandemic. Modeled projections had anticipated an 8.3%–38.6% rise in maternal mortality from different countries globally. In view of limited studies pertaining to issues related to accessing MCH services in the event of a pandemic, this study was carried out on pregnant and postnatal mothers in Odisha, India. Methods: An explorative qualitative study through 36 in-depth interviews (IDIs) was conducted among 16 (44.4%) antenatal and 20 (55.5%) postnatal mothers in six of thirty districts of Odisha, India, from February to April 2021. The districts and blocks were randomly selected for better representativeness. The IDIs were conducted using a predesigned and pretested guide among mothers who had undergone delivery or availed of antenatal, postnatal, or child health services from October 2020 to April 2021. The IDIs were conducted till data saturation. The data were analyzed using MAXQDA software. Results: The average age of mothers was 27.6 (+/- 2.2) years. Among the participants, 16 (44.4%) were antenatal and 20 (55.6%) were postnatal mothers; 19 (52.8%) were primipara and 17 (47.2%) were multipara. The majority explained that they received enormous support including door-to-door services from the community health workers (CHWs) even during the difficult times of the pandemic. Reduced transportation facility and fear of contracting the infection were reasons behind the unwillingness to visit health facilities and preference for home delivery. Furthermore, the pandemic had physical, mental, social, and financial impacts among pregnant and postnatal women. Conclusion: The unprecedented COVID-19 pandemic has affected access to MCH services by antenatal and postnatal mothers. Health system preparedness and appropriate strategies including better community engagement and participation could avert such challenges in the future

Resolution of Resilience: Empirical Findings on the Challenges Faced and the Mitigation Strategies Adopted by Community Health Workers (CHWs) to Provide Maternal and Child Health (MCH) Services during the COVID-19 Pandemic in the Context of Odisha, India

Community health workers (CHW) faced increased challenges in delivering maternal and child health services during the current COVID-19 pandemic. In addition to routine services, they were also engaged in pandemic management. In view of a dearth of evidence, the current study explores the challenges faced by CHWs while rendering maternal and child health services. A qualitative study through in-depth interviews (IDI) and focus group discussions (FGD) in six districts of Odisha was conducted from February to April 2021. Data were analyzed using MAXQDA software. Personal-level challenges, like lack of family support, stress, and fear of contracting COVID-19; facility-level challenges, like transportation problems and inadequate personal protective measures; and community-level challenges, like stigma, resistance, and lack of community support were major hindrances in provisioning routine MCH services. Prevailing myths and misconceptions concerning COVID-19 were factors behind stigma and resistance. Sharing experiences with family, practicing yoga and pranayam, engaging ambulance bikes, financial assistance to mothers, counseling people, and involving community leaders were some effective strategies to address these challenges. Development and implementation of appropriate strategy guidelines for addressing the challenges of frontline warriors will improve their work performance and achieve uninterrupted MCH services during pandemics or similar health emergencies

Challenges in Accessing and Delivering Maternal and Child Health Services during the COVID-19 Pandemic: A Cross-Sectional Rapid Survey from Six States of India

Background/Objectives: Globally, the COVID-19 pandemic and its prevention and control policies have impacted maternal and child health (MCH) services. This study documents the challenges faced by patients in accessing MCH services, and the experiences of health care providers in delivering those services during the COVID-19 outbreak, explicitly focusing on the lockdown period in India. Methods: A cross-sectional study (rapid survey) was conducted in 18 districts from 6 states of India during March to June, 2020. The sample size included 540 MCH patients, 18 gynaecologists, 18 paediatricians, 18 district immunisation officers and 108 frontline health workers. Bivariate analysis and multivariable analysis were used to assess the association between sociodemographic characteristics, and challenges faced by the patients. Results: More than one-third of patients (n = 212; 39%) reported that accessing MCH services was a challenge during the lockdown period, with major challenges being transportation-related difficulties (n = 99; 46%) unavailability of hospital-based services (n = 54; 23%) and interrupted outreach health services (n = 39; 18.4%). The supply-side challenges mainly included lack of infrastructural preparedness for outbreak situations, and a shortage of human resources. Conclusions/Recommendations: A holistic approach is required that focuses on both preparedness and response to the outbreak, as well reassignment and reinforcement of health care professionals to continue catering to and maintaining essential MCH services during the pandemic

Psychological distress and burnout among healthcare worker during COVID-19 pandemic in India-A cross-sectional study.

BackgroundCOVID-19 has inundated the entire world disrupting the lives of millions of people. The pandemic has stressed the healthcare system of India impacting the psychological status and functioning of health care workers. The aim of this study is to determine the burnout levels and factors associated with the risk of psychological distress among healthcare workers (HCW) engaged in the management of COVID 19 in India.MethodsA cross-sectional study was conducted from 1 September 2020 to 30 November 2020 by telephonic interviews using a web-based Google form. Health facilities and community centres from 12 cities located in 10 states were selected for data collection. Data on socio-demographic and occupation-related variables like age, sex, type of family, income, type of occupation, hours of work and income were obtained was obtained from 967 participants, including doctors, nurses, ambulance drivers, emergency response teams, lab personnel, and others directly involved in COVID 19 patient care. Levels of psychological distress was assessed by the General health Questionnaire -GHQ-5 and levels of burnout was assessed using the ICMR-NIOH Burnout questionnaire. Multivariable logistic regression analysis was performed to identify factors associated with the risk of psychological distress. The third quartile values of the three subscales of burnout viz EE, DP and PA were used to identify burnout profiles of the healthcare workers.ResultsOverall, 52.9% of the participants had the risk of psychological distress that needed further evaluation. Risk of psychological distress was significantly associated with longer hours of work (≥ 8 hours a day) (AOR = 2.38, 95% CI(1.66-3.41), income≥20000(AOR = 1.74, 95% CI, (1.16-2.6); screening of COVID-19 patients (AOR = 1.63 95% CI (1.09-2.46), contact tracing (AOR = 2.05, 95% CI (1.1-3.81), High Emotional exhaustion score (EE ≥16) (AOR = 4.41 95% CI (3.14-6.28) and High Depersonalisation score (DP≥7) (AOR = 1.79, 95% CI (1.28-2.51)). About 4.7% of the HCWs were overextended (EE>18); 6.5% were disengaged (DP>8) and 9.7% HCWs were showing signs of burnout (high on all three dimensions).ConclusionThe study has identified key factors that could have been likely triggers for psychological distress among healthcare workers who were engaged in management of COVID cases in India. The study also demonstrates the use of GHQ-5 and ICMR-NIOH Burnout questionnaire as important tools to identify persons at risk of psychological distress and occurrence of burnout symptoms respectively. The findings provide useful guide to planning interventions to mitigate mental health problems among HCW in future epidemic/pandemic scenarios in the country