Microfinance Contribution towards Women Empowerment: An Empirical Evidence from Punjab

The contribution of micro finance institutions towards women empowerment in the developing countries such as Pakistan, the main purpose of the study is giving micro finance services to poor that they are having the capacity to participate in the economic market through shaping their independent businesses. The main objective of the study is to check the contribution of microfinance institutes towards economic and domestic empowerment of women entrepreneurs. Systematic random sampling technique has been chosen and the sample size consists of 250 borrowers of Khushhali Bank from specific rural and semi-urban areas of Punjab, Pakistan. A structured questionnaire was developed and data is analysed through regression analysis by used Statistical package for social sciences. The findings of the study indicated that the Microfinance have a significant impact on economic and domestic empowerment of women after utilization of loan. The study makes policy recommendations to guide development of microfinance interventions that are very beneficial to the MFI’s clients and will be helpful in the economic condition of our country, Pakistan. Keywords: Micro-Finance loan, Economic Empowerment, Domestic Empowerment, Khushhali Bank

Impact of Microfinance on Poverty Reduction: A Case Study of District Faisalabad

The micro - finance program extends small loans to very poor people for self-employment projects that generate income, allowing them to care for themselves and for their families. Micro-finance enables an entrepreneur to build a business or expand the existing business and create a better change in their lives. The micro-financing institutions (MFIs) provide the opportunity for the people who are living under the poverty lines by investing the affordable funds/capital and somehow by providing their management expertise. This study shows the effect of micro-financing of small business and the implications for poverty reduction. The respondents are the clients of Khushhali Bank Ltd, District Faisalabad. The data were collected with the help of well-designed and structured questionnaire, which will be analyzed by applying FGT techniques. The results showed that the poverty has been reduced by financing the peoples. Keywords:Micro finance, poverty, FG

The impact of skin disorders on patients’ quality of life in Malaysia

Background: Skin diseases is a common worldwide problem. It affected every aspect of patients’ quality of life (QOL) mainly physically, socially and psychologically. Objectives: to assess the impact of skin disorders on patients’ quality of life and to identify factors associated with it. Methodology: This cross-sectional study was conducted in outpatient dermatology clinic of a tertiary hospital in Malaysia. A random sample of 145 patients with acne, psoriasis and atopic dermatitis (AD) were interviewed using DLQI questionnaire during their scheduled follow-up appointments at dermatology clinic. Main outcome measure: Self-reported patients’ QOL due to their skin diseases. Results and discussion: Out of three skin diseases psoriasis patients had the highest prevalence (39.3%) followed by AD (34.5%) and acne (26.2%). Patients’ QOL was highly influenced by their skin conditions especially on working/schooling domain. Furthermore, several factors were identified, namely age, working environment, concurrent skin diseases, usage of supplement for skin diseases and type of food as aggravating factors—that may influence patients’ QOL. QOL among females and younger adults was found to be more significantly influenced as compared to males and elderly. With respect to working environment, those who had both indoor and outdoor working environment showed the highest impact of their skin conditions on their QOL. Single patients were more influenced by their skin conditions when compared to those who are married, however it was not significant. Conclusion: Our findings revealed skin disease had negatively impacted individual QOL with different level of aspects. Among the three diseases, AD patients had the worst impact on QOL. Significant predictors of QOL did not relate solely to skin diseases but also other factors such as type of food and working environment

Formative research and development of an evidence-based communication strategy: the introduction of Vi typhoid fever vaccine among school-aged children in Karachi, Pakistan

The authors conducted formative research (a) to identify stakeholders\u27 concerns related to typhoid fever and the need for disease information and (b) to develop a communication strategy to inform stakeholders and address their concerns and motivate for support of a school-based vaccination program in Pakistan. Data were collected during interactive and semi-structured focus group discussions and interviews, followed by a qualitative analysis and multidisciplinary consultative process to identify an effective social mobilization strategy comprised of relevant media channels and messages. The authors conducted 14 focus group discussions with the parents of school-aged children and their teachers, and 13 individual interviews with school, religious, and political leaders. Parents thought that typhoid fever was a dangerous disease, but were unsure of their children\u27s risk. They were interested in vaccination and were comfortable with a school-based vaccination if conducted under the supervision of trained and qualified staff. Teachers and leaders needed information on typhoid fever, the vaccine, procedures, and sponsors of the vaccination program. Meetings were considered the best form of information dissemination, followed by printed materials and mass media. This study shows how qualitative research findings can be translated into an effective social mobilization and communication approach. The findings of the research indicated the importance of increasing awareness of typhoid fever and the benefits of vaccination against the disease. Identification and dissemination of relevant, community-based disease and vaccination information will increase demand and use of vaccination

Respiratory support in patients with severe COVID-19 in the International Severe Acute Respiratory and Emerging Infection (ISARIC) COVID-19 study: a prospective, multinational, observational study

Background: Up to 30% of hospitalised patients with COVID-19 require advanced respiratory support, including high-flow nasal cannulas (HFNC), non-invasive mechanical ventilation (NIV), or invasive mechanical ventilation (IMV). We aimed to describe the clinical characteristics, outcomes and risk factors for failing non-invasive respiratory support in patients treated with severe COVID-19 during the first two years of the pandemic in high-income countries (HICs) and low middle-income countries (LMICs). Methods: This is a multinational, multicentre, prospective cohort study embedded in the ISARIC-WHO COVID-19 Clinical Characterisation Protocol. Patients with laboratory-confirmed SARS-CoV-2 infection who required hospital admission were recruited prospectively. Patients treated with HFNC, NIV, or IMV within the first 24 h of hospital admission were included in this study. Descriptive statistics, random forest, and logistic regression analyses were used to describe clinical characteristics and compare clinical outcomes among patients treated with the different types of advanced respiratory support. Results: A total of 66,565 patients were included in this study. Overall, 82.6% of patients were treated in HIC, and 40.6% were admitted to the hospital during the first pandemic wave. During the first 24 h after hospital admission, patients in HICs were more frequently treated with HFNC (48.0%), followed by NIV (38.6%) and IMV (13.4%). In contrast, patients admitted in lower- and middle-income countries (LMICs) were less frequently treated with HFNC (16.1%) and the majority received IMV (59.1%). The failure rate of non-invasive respiratory support (i.e. HFNC or NIV) was 15.5%, of which 71.2% were from HIC and 28.8% from LMIC. The variables most strongly associated with non-invasive ventilation failure, defined as progression to IMV, were high leukocyte counts at hospital admission (OR [95%CI]; 5.86 [4.83-7.10]), treatment in an LMIC (OR [95%CI]; 2.04 [1.97-2.11]), and tachypnoea at hospital admission (OR [95%CI]; 1.16 [1.14-1.18]). Patients who failed HFNC/NIV had a higher 28-day fatality ratio (OR [95%CI]; 1.27 [1.25-1.30]). Conclusions: In the present international cohort, the most frequently used advanced respiratory support was the HFNC. However, IMV was used more often in LMIC. Higher leucocyte count, tachypnoea, and treatment in LMIC were risk factors for HFNC/NIV failure. HFNC/NIV failure was related to worse clinical outcomes, such as 28-day mortality. Trial registration This is a prospective observational study; therefore, no health care interventions were applied to participants, and trial registration is not applicable

Respiratory support in patients with severe COVID-19 in the International Severe Acute Respiratory and Emerging Infection (ISARIC) COVID-19 study: a prospective, multinational, observational study

Background: Up to 30% of hospitalised patients with COVID-19 require advanced respiratory support, including high-flow nasal cannulas (HFNC), non-invasive mechanical ventilation (NIV), or invasive mechanical ventilation (IMV). We aimed to describe the clinical characteristics, outcomes and risk factors for failing non-invasive respiratory support in patients treated with severe COVID-19 during the first two years of the pandemic in high-income countries (HICs) and low middle-income countries (LMICs). Methods: This is a multinational, multicentre, prospective cohort study embedded in the ISARIC-WHO COVID-19 Clinical Characterisation Protocol. Patients with laboratory-confirmed SARS-CoV-2 infection who required hospital admission were recruited prospectively. Patients treated with HFNC, NIV, or IMV within the first 24 h of hospital admission were included in this study. Descriptive statistics, random forest, and logistic regression analyses were used to describe clinical characteristics and compare clinical outcomes among patients treated with the different types of advanced respiratory support. Results: A total of 66,565 patients were included in this study. Overall, 82.6% of patients were treated in HIC, and 40.6% were admitted to the hospital during the first pandemic wave. During the first 24 h after hospital admission, patients in HICs were more frequently treated with HFNC (48.0%), followed by NIV (38.6%) and IMV (13.4%). In contrast, patients admitted in lower- and middle-income countries (LMICs) were less frequently treated with HFNC (16.1%) and the majority received IMV (59.1%). The failure rate of non-invasive respiratory support (i.e. HFNC or NIV) was 15.5%, of which 71.2% were from HIC and 28.8% from LMIC. The variables most strongly associated with non-invasive ventilation failure, defined as progression to IMV, were high leukocyte counts at hospital admission (OR [95%CI]; 5.86 [4.83–7.10]), treatment in an LMIC (OR [95%CI]; 2.04 [1.97–2.11]), and tachypnoea at hospital admission (OR [95%CI]; 1.16 [1.14–1.18]). Patients who failed HFNC/NIV had a higher 28-day fatality ratio (OR [95%CI]; 1.27 [1.25–1.30]). Conclusions: In the present international cohort, the most frequently used advanced respiratory support was the HFNC. However, IMV was used more often in LMIC. Higher leucocyte count, tachypnoea, and treatment in LMIC were risk factors for HFNC/NIV failure. HFNC/NIV failure was related to worse clinical outcomes, such as 28-day mortality. Trial registration This is a prospective observational study; therefore, no health care interventions were applied to participants, and trial registration is not applicable

Characteristics and outcomes of an international cohort of 600 000 hospitalized patients with COVID-19

Background: We describe demographic features, treatments and clinical outcomes in the International Severe Acute Respiratory and emerging Infection Consortium (ISARIC) COVID-19 cohort, one of the world's largest international, standardized data sets concerning hospitalized patients. Methods: The data set analysed includes COVID-19 patients hospitalized between January 2020 and January 2022 in 52 countries. We investigated how symptoms on admission, co-morbidities, risk factors and treatments varied by age, sex and other characteristics. We used Cox regression models to investigate associations between demographics, symptoms, co-morbidities and other factors with risk of death, admission to an intensive care unit (ICU) and invasive mechanical ventilation (IMV). Results: Data were available for 689 572 patients with laboratory-confirmed (91.1%) or clinically diagnosed (8.9%) SARS-CoV-2 infection from 52 countries. Age [adjusted hazard ratio per 10 years 1.49 (95% CI 1.48, 1.49)] and male sex [1.23 (1.21, 1.24)] were associated with a higher risk of death. Rates of admission to an ICU and use of IMV increased with age up to age 60 years then dropped. Symptoms, co-morbidities and treatments varied by age and had varied associations with clinical outcomes. The case-fatality ratio varied by country partly due to differences in the clinical characteristics of recruited patients and was on average 21.5%. Conclusions: Age was the strongest determinant of risk of death, with a ∼30-fold difference between the oldest and youngest groups; each of the co-morbidities included was associated with up to an almost 2-fold increase in risk. Smoking and obesity were also associated with a higher risk of death. The size of our international database and the standardized data collection method make this study a comprehensive international description of COVID-19 clinical features. Our findings may inform strategies that involve prioritization of patients hospitalized with COVID-19 who have a higher risk of death

ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing comorbidities, vital signs, chronic and acute treatments, complications, dates of hospitalization and discharge, mortality, viral strains, vaccination status, and other data. Here, we present the dataset characteristics, explain its architecture and how to gain access, and provide tools to facilitate its use