Factors Influencing Utilisation of Maternal Healthcare Services: Womens Perception

2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Gyanvati
Keyword(s):  
Healthcare Services ◽  
Maternal Healthcare ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Economic Background ◽  
Newborn Child

This paper analyses the factors affecting for utilization of maternal healthcare services. Following is the section wise description of the paper. Firstly, the paper looks into socio-economic background of women. Secondly, the paper focuses on usage of maternal healthcare services by women. Thirdly, the paper also traces the factors affecting for usage of maternal healthcare services. Lastly, the paper concludes and suggests by emphasizing the significance of proper utilization of maternal healthcare services that it leads to better health of mother and their newborn child.

scholarly journals Factors influencing the use of maternal healthcare services and childhood immunization in Swaziland

2015 ◽  
Vol 14 (1) ◽  
Author(s):  
Mluleki Tsawe ◽  
Amos Moto ◽  
Thendo Netshivhera ◽  
Lesego Ralesego ◽  
Cassandra Nyathi ◽  
...  
Keyword(s):  
Healthcare Services ◽  
Childhood Immunization ◽  
Maternal Healthcare ◽  
Factors Influencing

Customer’s satisfaction on service quality at Vietnam Technological and Commercial Joint Stock Bank – An Giang Branch

2020 ◽  
Vol 4 (3) ◽  
pp. First
Author(s):  
Tran Minh Hieu ◽  
Nguyen Duong Ngoc Mai Chi
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Test Method ◽  
Quality Of Services ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Alpha Reliability ◽  
Survey Results ◽  
Development Orientation

This study applied SERVQUAL scale of Parasuraman et al to measure factors affecting customer satisfaction on service quality at Vietnam Technological and Commercial Joint Stock Bank - An Giang Branch (Techcombank An Giang). The study was conducted to survey 207 customers who have been using the service at Techcombank An Giang. The survey results were analyzed by the Cronbach's Alpha reliability test method, then used Exploratory factor analysis (EFA) to verify and evaluate the scale of service quality. The results of the regression analysis show that customer's satisfaction about service quality at Techcombank An Giang includes four factors: The factor with the highest level is the Empathy with Beta = 0.253, the second of factor is the Responsibility with Beta = 0.248, ranked third in the influence level is the Tangible with Beta = 0.235, and the lowest impact level is the Reliability with Beta = 0.144. The research also uses statistical methods to describe and test the differences of demographic factors with customer's satisfactionon service quality.The analysis results show that there is no difference between customer's satisfaction on service quality and factors such as gender, age, income, number of transaction banks, regular transaction banks, and time to use the service at Techcombank An Giang. Through the research results, the author would like to propose some ideas to improve the quality of services, thereby attracting new customers and importantly, keeping traditional customers because the development orientation of Techcombank is to take care of old customers to cross sell other products of the bank. The Stud results offer a basis for the branch to identify the factors influencing customer satisfaction on their service quality, thereby having an appropriate strategy to improve customer satisfaction.

Assessment of factors affecting short-term pulmonary functions following cardiac surgery: A prospective observational study

2021 ◽  
pp. 021849232110100
Author(s):  
Neetika Katiyar ◽  
Sandeep Negi ◽  
Sunder Lal Negi ◽  
Goverdhan Dutt Puri ◽  
Shyam Kumar Singh Thingnam
Keyword(s):  
Cardiac Surgery ◽  
Pulmonary Function ◽  
Forced Vital Capacity ◽  
Vital Capacity ◽  
Forced Expiratory Volume ◽  
Pulmonary Complications ◽  
Operative Morbidity ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Significant Impairment

Background Pulmonary complications after cardiac surgery are very common and lead to an increased incidence of post-operative morbidity and mortality. Several factors, either modifiable or non-modifiable, may contribute to the associated unfavorable consequences related to pulmonary function. This study was aimed to investigate the degree of alteration and factors influencing pulmonary function (forced expiratory volume in one second (FEV1) and forced vital capacity), on third, fifth, and seventh post-operative days following cardiac surgery. Methods This study was executed in 71 patients who underwent on-pump cardiac surgery. Pulmonary function was assessed before surgery and on the third, fifth, and seventh post-operative days. Data including surgical details, information about risk factors, and assessment of pulmonary function were obtained. Results The FEV1 and forced vital capacity were significantly impaired on post-operative days 3, 5, and 7 compared to pre-operative values. The reduction in FEV1 was 41%, 29%, and 16% and in forced vital capacity was 42%, 29%, and 19% consecutively on post-operative days 3, 5, and 7. Multivariate analysis was done to detect the factors influencing post-operative FEV1 and forced vital capacity. Discussion This study observed a significant impairment in FEV1 and forced vital capacity, which did not completely recover by the seventh post-operative day. Different factors affecting post-operative FEV1 and forced vital capacity were pre-operative FEV1, age ≥60, less body surface area, lower pre-operative chest expansion at the axillary level, and having more duration of cardiopulmonary bypass during surgery. Presence of these factors enhances the chance of developing post-operative pulmonary complications.

scholarly journals Health insurance coverage and maternal healthcare services utilization in Jordan: evidence from the 2017–18 Jordan demographic and health survey

2021 ◽  
Vol 79 (1) ◽  
Author(s):  
Petula Fernandes ◽  
Emmanuel Kolawole Odusina ◽  
Bright Opoku Ahinkorah ◽  
Komlan Kota ◽  
Sanni Yaya
Keyword(s):  
Health Insurance ◽  
Antenatal Care ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Healthcare Services ◽  
Skilled Birth Attendance ◽  
Reproductive Age ◽  
Maternal Healthcare ◽  
Services Utilization ◽  
Birth Attendance

Abstract Background Despite the relationship between health insurance coverage and maternal healthcare services utilization, previous studies in Jordan on the use of maternal healthcare services have mainly focused on patterns and determinants of maternal healthcare services utilization in Jordan. Therefore, this study investigated the relationship between health insurance coverage and maternal healthcare services utilization in Jordan. Methods This study used secondary data published in 2017-18 Jordan Demographic and Health Survey on 4656 women of reproductive age (15–49 years). The independent variable was health insurance coverage and the outcome variable was maternal healthcare services utilization, measured through timing of first antenatal visit, four or more antenatal care visits, and skilled birth attendance. The data were analyzed using descriptive statistics and binary logistic regression. Results Out of the total number of women who participated in the study, 38.2% were not covered by health insurance. With maternal healthcare utilization, 12.5%, 23.2%, and 10.1% respectively, failed to make early first antenatal care visit, complete four or more antenatal care visits and have their delivery attended by a skilled worker. After controlling for the socio-demographic factors, health insurance coverage was associated with increased odds of early timing of first antenatal care visits and completion of four or more antenatal care visits (aOR = 1.33, p < 0.05, aOR = 1.25, p < 0.01, respectively). However, women who were covered by health insurance were less likely to use skilled birth attendance during delivery (aOR = 0.72 p < 0.001). Conclusions Jordanian women with health insurance coverage were more likely to have early first antenatal care visits and complete four or more antenatal care visits. However, they were less likely to have their delivery attended by a skilled professional. This study provides evidence that health insurance coverage has contributed to increased maternal healthcare services utilization, only in terms of number and timing of antenatal care visits in Jordan. It is recommended that policy makers in Jordan should strengthen the coverage of health insurance in the country, especially among women of reproductive age in order to enhance the use of maternal healthcare services in the country.

scholarly journals Factors influencing decision making for implementing e-health in light of the COVID-19 outbreak in Gulf Cooperation Council countries

2021 ◽  
Author(s):  
Fahad M Al-Anezi
Keyword(s):  
Decision Making ◽  
United Arab Emirates ◽  
Healthcare Access ◽  
Demographic Factors ◽  
Quality Of Healthcare ◽  
Healthcare Services ◽  
Gulf Cooperation Council ◽  
Factors Influencing ◽  
Electronic Health ◽  
Novel Coronavirus

Abstract Background Electronic health (e-health) approaches such as telemedicine, mobile health, virtual healthcare and electronic health records are considered to be effective in increasing access to healthcare services, reducing operational costs and improving the quality of healthcare services during the coronavirus disease 2019 (COVID-19) outbreak, a pandemic resulting from the spread of a novel coronavirus discovered in December 2019. In this context, the aim of this study was to identify the most important factors influencing decision making on the implementation of e-health in Gulf Cooperation Council (GCC) member states (Bahrain, Kuwait, Oman, Qatar, Saudi Arabia and the United Arab Emirates), which are in the process of digitizing healthcare services. Methods This study reviewed the literature to identify the important factors influencing decision making on e-health. In addition, a questionnaire-based survey was conducted in order to identify the most important criteria to be considered in decision making on e-health. The survey link was forwarded to 978 healthcare practitioners and 42 experts (purposive sampling), from which a final sample of 892 (864 practitioners and 28 experts) was achieved, reflecting a response rate of 87.45%. Results Of the 44 factors identified under seven themes (strategic, quality, management, technology, function characteristics, economic, sociocultural and demographic factors), 22 factors were identified to be the most important criteria. Conclusions Findings from this study suggest that decision making in relation to e-health is a complex process that requires consideration of various factors. It was also found that attention should be paid to sociocultural and demographic factors, which may need to be considered in increasing healthcare access during the COVID-19 outbreak.

scholarly journals Socioeconomic Risks and Their Impacts on Ecological River Health in South Korea: An Application of the Analytic Hierarchy Process

2021 ◽  
Vol 13 (11) ◽  
pp. 6287
Author(s):  
Suyeon Kim ◽  
Sang-Woo Lee ◽  
Se-Rin Park ◽  
Yeeun Shin ◽  
Kyungjin An
Keyword(s):  
South Korea ◽  
Socioeconomic Factors ◽  
Ecosystem Health ◽  
Relative Importance ◽  
River Ecosystem ◽  
River Health ◽  
Analytic Hierarchy ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Hierarchy Process

It is imperative to develop a methodology to identify river impairment sources, particularly the relative impact of socioeconomic sources, to enhance the efficiency of various river restoration schemes and policies and to have an internal diagnosis system in place. This study, therefore, aims to identify and analyze the relative importance of the socioeconomic factors affecting river ecosystem impairment in South Korea. To achieve this goal, we applied the Analytical Hierarchy Process (AHP) to evaluate expert judgement of the relative importance of different socioeconomic factors influencing river ecosystem impairment. Based on a list of socioeconomic factors influencing stream health, an AHP questionnaire was prepared and administered to experts in aquatic ecology. Our analysis reveals that secondary industries form the most significant source of stream ecosystem impairment. Moreover, the most critical socioeconomic factors affecting stream impairment are direct inflow pollution, policy implementation, and industrial wastewater. The results also suggest that the AHP is a rapid and robust approach to assessing the relative importance of different socioeconomic factors that affect river ecosystem health. The results can be used to assist decision makers in focusing on actions to improve river ecosystem health.

scholarly journals Informal Caregiving and Disaster Risk Reduction: A Scoping Review

2021 ◽  
Vol 12 (2) ◽  
pp. 169-187
Author(s):  
Christina J. Pickering ◽  
Maya Dancey ◽  
Karen Paik ◽  
Tracey O’Sullivan
Keyword(s):  
Risk Reduction ◽  
Scoping Review ◽  
Disaster Risk Reduction ◽  
Informal Caregivers ◽  
Healthcare Services ◽  
Informal Caregiving ◽  
Disaster Risk ◽  
Healthcare Provision ◽  
Strategic Action ◽  
Factors Affecting

AbstractInformal caregivers are a population currently in the shadows of disaster risk reduction (DRR), and yet essential to the provision of healthcare services. This scoping review explored the literature to understand issues related to informal caregiving and promising practices to support resilience for disasters. Following guidelines for scoping review as outlined by Tricco et al. (2016), relevant publications were identified from five major databases—Medline, Embase, PubMed, Web of Science, and Scopus. Relevant studies referenced informal caregiving and disasters for a variety of population groups including children, people with disabilities or chronic illnesses, and older adults. Studies were excluded if they discussed formal caregiving services (for example, nursing), lacked relevance to disasters, or had insufficient discussion of informal caregiving. Overall, 21 articles met the inclusion criteria and were fully analyzed. Five themes were identified: (1) the need for education and training in DRR; (2) stressors around medication and supply issues; (3) factors affecting the decision-making process in a disaster; (4) barriers leading to disaster-related problems; and (5) factors promoting resilience. Recommended areas of strategic action and knowledge gaps are discussed. Many informal caregivers do not feel adequately prepared for disasters. Given the important role of informal caregivers in healthcare provision, preparedness strategies are essential to support community resilience for those requiring personal care support. By understanding and mobilizing assets to support the resilience of informal caregivers, we also support the resilience of the greater healthcare system and the community, in disaster contexts.

scholarly journals Factors Affecting Secondary Traumatic Stress of Nurses Caring for COVID-19 Patients in South Korea

2021 ◽  
Vol 18 (13) ◽  
pp. 6843
Author(s):  
Mee Sun Lee ◽  
Sujin Shin ◽  
Eunmin Hong
Keyword(s):  
Social Support ◽  
Regression Analysis ◽  
Traumatic Stress ◽  
Secondary Traumatic Stress ◽  
Direct Care ◽  
Hierarchical Regression ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Affect Patient Care ◽  
Significant Factors

The secondary traumatic stress (STS) of nurses caring for COVID-19 patients is expected to be high, and it can adversely affect patient care. The purpose of this study was to examine the degree of STS of nurses caring for COVID-19 patients, and we identified various factors that influence STS. This study followed a descriptive design. The data of 136 nurses who had provided direct care to COVID-19 patients from 5 September to 26 September 2020 were collected online. Hierarchical regression analysis was conducted to identify the factors influencing STS. Participants experienced moderate levels of STS. The regression model of Model 1 was statistically significant (F = 6.21, p < 0.001), and the significant factors influencing STS were the duration of care for patients with COVID-19 for more than 30 days (β = 0.28, p < 0.001) and working in an undesignated COVID-19 hospital (β = 0.21, p = 0.038). In Model 2, the factor influencing STS was the support of a friend in the category of social support (β = −0.21, p = 0.039). The nurses caring for COVID-19 patients are experiencing a persistent and moderate level of STS. This study can be used as basic data to treat and prevent STS.

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