Pub Date : 2024-05-15DOI: 10.1177/09720634241246331
M. A. Jabbar, Hena Iqbal, Udit Chawla
Applications of artificial intelligence (AI) can be seen in almost every aspect of the healthcare system, as it has potential to affect almost every facet of the healthcare, from detection of ailments and serious or complex chronic diseases to their control, prevention and cure. With technological innovations, upgradation and adoption in the field of healthcare, healthcare professionals are required to be well prepared to accept the continuously evolving technology and its application to provide best healthcare facilities, which gave rise to the various studies on the role of the machine learning (ML), AI, deep learning (DL), etc., in the field of healthcare. Similarly, the rise in digitalised hospitals, medical facilities, records and data has resulted in the improvisation in the field of healthcare, which in turn has increased the need of experts, professionals, experienced and digitally literate workforce teams in the field of entire healthcare system. Understanding the roles of these advanced technologies, impacts being created on the health, lifestyle and the entire healthcare system, along with the perception of the patients towards it, will shape the way for the improvements and the applications of AI and its outcomes to be achieved, resulting in healthier world for the patients and the society. The objective of the study is to create a patient satisfaction model and validate it with respect to factors influencing patient satisfaction of several patients undergoing AI treatment factors. In the study, the United States, Canada, Australia, UAE and China were chosen as a place of survey, as these are advanced countries and the use of AI is highest in these countries compared to other countries, and survey was done with the help of structured questionnaire. In our earlier study, exploratory factor analysis (EFA) was performed for initial knowledge development on the construct of patients undergoing AI treatment. Patient satisfaction rests on six broad dimensions: First factor is personal touch (PT), second factor is comprehensive gap (CG), third factor is answerability (AB), fourth factor is nerve racking (NR), fifth factor is wrong reporting (WR) and sixth factor is enlightened (EL). With the help of confirmatory factor analysis (CFA) and structured equation modelling (SEM), it has emerged from the study that patient satisfaction level of the construct suggests that PT will have a greater impact on patient satisfaction, and it is the most significant factor of patient satisfaction compared to other constructs. Thus, we can conclude that PT still remains the most important factor in the minds of patients before undergoing AI treatment.
{"title":"Patient Satisfaction: The Role of Artificial Intelligence in Healthcare","authors":"M. A. Jabbar, Hena Iqbal, Udit Chawla","doi":"10.1177/09720634241246331","DOIUrl":"https://doi.org/10.1177/09720634241246331","url":null,"abstract":"Applications of artificial intelligence (AI) can be seen in almost every aspect of the healthcare system, as it has potential to affect almost every facet of the healthcare, from detection of ailments and serious or complex chronic diseases to their control, prevention and cure. With technological innovations, upgradation and adoption in the field of healthcare, healthcare professionals are required to be well prepared to accept the continuously evolving technology and its application to provide best healthcare facilities, which gave rise to the various studies on the role of the machine learning (ML), AI, deep learning (DL), etc., in the field of healthcare. Similarly, the rise in digitalised hospitals, medical facilities, records and data has resulted in the improvisation in the field of healthcare, which in turn has increased the need of experts, professionals, experienced and digitally literate workforce teams in the field of entire healthcare system. Understanding the roles of these advanced technologies, impacts being created on the health, lifestyle and the entire healthcare system, along with the perception of the patients towards it, will shape the way for the improvements and the applications of AI and its outcomes to be achieved, resulting in healthier world for the patients and the society. The objective of the study is to create a patient satisfaction model and validate it with respect to factors influencing patient satisfaction of several patients undergoing AI treatment factors. In the study, the United States, Canada, Australia, UAE and China were chosen as a place of survey, as these are advanced countries and the use of AI is highest in these countries compared to other countries, and survey was done with the help of structured questionnaire. In our earlier study, exploratory factor analysis (EFA) was performed for initial knowledge development on the construct of patients undergoing AI treatment. Patient satisfaction rests on six broad dimensions: First factor is personal touch (PT), second factor is comprehensive gap (CG), third factor is answerability (AB), fourth factor is nerve racking (NR), fifth factor is wrong reporting (WR) and sixth factor is enlightened (EL). With the help of confirmatory factor analysis (CFA) and structured equation modelling (SEM), it has emerged from the study that patient satisfaction level of the construct suggests that PT will have a greater impact on patient satisfaction, and it is the most significant factor of patient satisfaction compared to other constructs. Thus, we can conclude that PT still remains the most important factor in the minds of patients before undergoing AI treatment.","PeriodicalId":509705,"journal":{"name":"Journal of Health Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140972213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-13DOI: 10.1177/09720634241250260
Abhipsa Tripathy, Prem Shankar Mishra
Delivering healthcare services to cancer patients during COVID-19 lockdown posed several challenges; however, lack of reporting and concerned reviews made it imperative to understand the nuance of narratives among cancer patients across country. The COVID-19 pandemic has had a severe effect on the entirety among cancer patients in the continuum of care. In this regard, this article aims to investigate the challenges and hard times faced by cancer patients due to mismanagement and lack of health system planning during COVID-19 lockdown in India. A total of 46 newspaper articles with distinct cases of patients suffering from different types of cancer were collected between 24 March 2020 and July 2020 lockdowns in India. We analyse the online news reports and articles of cancer patients facing regular services and treatment challenges during the country’s lockdown following an inductive approach. We conducted the content analysis that chose online news articles across states/union territories, leading to the creation of a conceptual diagram for our article. From all the articles, most articles reported challenges like poor governance of cancer patients (63%) and lack of timely treatment (37%) from the supply-side issues, whereas from the demand-side constraints, such as fear of transmission (10%), financial issues (10%) and accommodation problems (5%), were reported. The broad thematic categories that evolved from our content analysis are patient-centred related factors, healthcare management-related factors or supply-side factors and detrimental impacts of lockdown with the poor governance of cancer patients. Further, the findings revealed through different sets of narratives that involved a range of multiple factors such as service interruption, delays and altered modes of screening, diagnosis and treatment as well as follow-up and palliative care during the critical time of COVID-19 lockdowns in India. The interruption of service delivery mechanisms due to poor health management, deficits of health workforce, infrastructural lacunae and fear of COVID-19 infection placed unprecedented challenges to cancer patients across the country in seeking healthcare services. Therefore, the government must be regularly vigilant and give priority under these emergency circumstances. However, the newly introduced National Digital Health Mission (NDHM) by the Government of India might be a catalyser that provides the necessary support for the integration of digital health infrastructure in the country even after such a pandemic havoc in the future.
{"title":"Challenges for Cancer Patients Seeking Medical Care During COVID-19 Lockdown in India: A Narrative Review","authors":"Abhipsa Tripathy, Prem Shankar Mishra","doi":"10.1177/09720634241250260","DOIUrl":"https://doi.org/10.1177/09720634241250260","url":null,"abstract":"Delivering healthcare services to cancer patients during COVID-19 lockdown posed several challenges; however, lack of reporting and concerned reviews made it imperative to understand the nuance of narratives among cancer patients across country. The COVID-19 pandemic has had a severe effect on the entirety among cancer patients in the continuum of care. In this regard, this article aims to investigate the challenges and hard times faced by cancer patients due to mismanagement and lack of health system planning during COVID-19 lockdown in India. A total of 46 newspaper articles with distinct cases of patients suffering from different types of cancer were collected between 24 March 2020 and July 2020 lockdowns in India. We analyse the online news reports and articles of cancer patients facing regular services and treatment challenges during the country’s lockdown following an inductive approach. We conducted the content analysis that chose online news articles across states/union territories, leading to the creation of a conceptual diagram for our article. From all the articles, most articles reported challenges like poor governance of cancer patients (63%) and lack of timely treatment (37%) from the supply-side issues, whereas from the demand-side constraints, such as fear of transmission (10%), financial issues (10%) and accommodation problems (5%), were reported. The broad thematic categories that evolved from our content analysis are patient-centred related factors, healthcare management-related factors or supply-side factors and detrimental impacts of lockdown with the poor governance of cancer patients. Further, the findings revealed through different sets of narratives that involved a range of multiple factors such as service interruption, delays and altered modes of screening, diagnosis and treatment as well as follow-up and palliative care during the critical time of COVID-19 lockdowns in India. The interruption of service delivery mechanisms due to poor health management, deficits of health workforce, infrastructural lacunae and fear of COVID-19 infection placed unprecedented challenges to cancer patients across the country in seeking healthcare services. Therefore, the government must be regularly vigilant and give priority under these emergency circumstances. However, the newly introduced National Digital Health Mission (NDHM) by the Government of India might be a catalyser that provides the necessary support for the integration of digital health infrastructure in the country even after such a pandemic havoc in the future.","PeriodicalId":509705,"journal":{"name":"Journal of Health Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140982480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-13DOI: 10.1177/09720634241246946
Anmol Sehgal, S. Sangita
There has been a gradual shift of India’s health policies in favour of government-funded health insurance schemes rather than investment in public health facilities. The impact of this shift on quality of health care, especially for the poor and vulnerable population, is yet to be fully understood. The current study has been undertaken to study the effectiveness of one such state government-funded health insurance scheme, known as Bhamashah Swasthya Bima Yojana (BSBY), on out-of-pocket (OOP) expenditure and quality of health care services for the child delivery cases in a low-income community in the capital city of Jaipur in Rajasthan, India. While this study contributes to knowledge on the impact of access to health insurance on OOP expenditure, it covers a critical gap in the literature regarding its effect on quality of health care. The empirical analysis, conducted using log-linear and logit models, indicates that BSBY has a positive impact on reduction of OOP and improvement in quality of treatment in the study area.
{"title":"Impact of Government Funded Health Insurance Scheme on OOP and Quality of Health Care: \u2028A Study of Maternal Health Care in Rajasthan","authors":"Anmol Sehgal, S. Sangita","doi":"10.1177/09720634241246946","DOIUrl":"https://doi.org/10.1177/09720634241246946","url":null,"abstract":"There has been a gradual shift of India’s health policies in favour of government-funded health insurance schemes rather than investment in public health facilities. The impact of this shift on quality of health care, especially for the poor and vulnerable population, is yet to be fully understood. The current study has been undertaken to study the effectiveness of one such state government-funded health insurance scheme, known as Bhamashah Swasthya Bima Yojana (BSBY), on out-of-pocket (OOP) expenditure and quality of health care services for the child delivery cases in a low-income community in the capital city of Jaipur in Rajasthan, India. While this study contributes to knowledge on the impact of access to health insurance on OOP expenditure, it covers a critical gap in the literature regarding its effect on quality of health care. The empirical analysis, conducted using log-linear and logit models, indicates that BSBY has a positive impact on reduction of OOP and improvement in quality of treatment in the study area.","PeriodicalId":509705,"journal":{"name":"Journal of Health Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140985804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-13DOI: 10.1177/09720634241244422
Preeya S. Mohan, Richard Ramsawak
Without the availability of a vaccine (at the time of writing) to control the spread of the COVID-19 virus, countries must rely largely on lockdown measures to limit population movement and community spread. The case of COVID-19 in small island territories is particularly important given their vulnerabilities to external shocks, limited capacity to prepare for and respond to a health crisis, and a population susceptible to non-communicable diseases. This article utilise novel crowdsourced cell phone data gathered by Facebook Data for Good and difference-in-differences estimation as well as event studies to examine the effectiveness of shelter-in-place orders (SIPOs) on population movement patterns across Trinidad and Tobago. We find that most SIPOs result in reductions in population movement patterns across the country, the most effective being the closure of all public places and non-essential businesses. Also, the relaxation of these measures does not readily result in increasing population movement patterns, indicating relative embeddedness in population movement. Our results further suggest that voluntary compliance, adaptive behaviour among citizens, government transparency and public information can also be important motivations for reduced population movement during the pandemic.
由于没有疫苗（在撰写本报告时）来控制 COVID-19 病毒的传播，各国必须在很大程度上依靠封锁措施来限制人口流动和社区传播。鉴于小岛屿地区易受外部冲击、准备和应对健康危机的能力有限以及人口易感染非传染性疾病，COVID-19 在这些地区的传播就显得尤为重要。本文利用 Facebook Data for Good 收集的新型众包手机数据、差分估计以及事件研究，考察了就地避难令（SIPOs）对特立尼达和多巴哥各地人口流动模式的影响。我们发现，大多数 SIPO 都能减少全国的人口流动模式，其中最有效的是关闭所有公共场所和非必要企业。此外，这些措施的放松并不会轻易导致人口流动模式的增加，这表明人口流动的相对嵌入性。我们的研究结果进一步表明，自愿遵守、公民的适应行为、政府透明度和公共信息也可能是大流行期间减少人口迁移的重要动因。
{"title":"Using Crowdsourced Data to Assess the Impact \u2028of Shelter-in-Place Orders (SIPO) during COVID-19: Lessons from a Small Island \u2028Developing State","authors":"Preeya S. Mohan, Richard Ramsawak","doi":"10.1177/09720634241244422","DOIUrl":"https://doi.org/10.1177/09720634241244422","url":null,"abstract":"Without the availability of a vaccine (at the time of writing) to control the spread of the COVID-19 virus, countries must rely largely on lockdown measures to limit population movement and community spread. The case of COVID-19 in small island territories is particularly important given their vulnerabilities to external shocks, limited capacity to prepare for and respond to a health crisis, and a population susceptible to non-communicable diseases. This article utilise novel crowdsourced cell phone data gathered by Facebook Data for Good and difference-in-differences estimation as well as event studies to examine the effectiveness of shelter-in-place orders (SIPOs) on population movement patterns across Trinidad and Tobago. We find that most SIPOs result in reductions in population movement patterns across the country, the most effective being the closure of all public places and non-essential businesses. Also, the relaxation of these measures does not readily result in increasing population movement patterns, indicating relative embeddedness in population movement. Our results further suggest that voluntary compliance, adaptive behaviour among citizens, government transparency and public information can also be important motivations for reduced population movement during the pandemic.","PeriodicalId":509705,"journal":{"name":"Journal of Health Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140983694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-13DOI: 10.1177/09720634241244423
Chhavi Gupta, R. Khedkar, Kiran Negi, Karuna Singh
Nutrition deficiency is commonly observed in lactating mothers and is a rising trend in India due to improper dietary patterns, physiological factors, socio-economic and demographic factors. The aim was to study the nutritional status and its related factors among lactating mothers in the urban areas of Delhi region, India. A structured, pre-tested and validated questionnaire was used to capture the socio-demographic information, including economical and medical conditions, of 150 lactating women in Delhi, India. Pearson correlation coefficient and association of various factors were determined. 72.5 per cent of women were in the age bracket of 20–25 years and in low-income group (70 per cent). The prevalence of underweight was 21.33 per cent, and the mean and SD of body mass index (BMI) of mothers were 19.17 ± 2.1 and 20.70 ± 2.3 for sedentary and moderate workers, respectively. There were significant correlations found between BMI, energy, carbohydrates, fat and protein intake ( p < .05). Multivariate regression model was used to associate the nutrition of participants’ income group, education, type of work, age of mothers and frequency of meals. Based on the results, intervention programmes for dietary correction and the effect of nutrition on the body have to be emphasised to lactating mothers for better health and nutritional outcomes.
{"title":"Socio-economic and Demographic Factors Influencing the Nutritional Status of Lactating Mothers in Delhi, India","authors":"Chhavi Gupta, R. Khedkar, Kiran Negi, Karuna Singh","doi":"10.1177/09720634241244423","DOIUrl":"https://doi.org/10.1177/09720634241244423","url":null,"abstract":"Nutrition deficiency is commonly observed in lactating mothers and is a rising trend in India due to improper dietary patterns, physiological factors, socio-economic and demographic factors. The aim was to study the nutritional status and its related factors among lactating mothers in the urban areas of Delhi region, India. A structured, pre-tested and validated questionnaire was used to capture the socio-demographic information, including economical and medical conditions, of 150 lactating women in Delhi, India. Pearson correlation coefficient and association of various factors were determined. 72.5 per cent of women were in the age bracket of 20–25 years and in low-income group (70 per cent). The prevalence of underweight was 21.33 per cent, and the mean and SD of body mass index (BMI) of mothers were 19.17 ± 2.1 and 20.70 ± 2.3 for sedentary and moderate workers, respectively. There were significant correlations found between BMI, energy, carbohydrates, fat and protein intake ( p < .05). Multivariate regression model was used to associate the nutrition of participants’ income group, education, type of work, age of mothers and frequency of meals. Based on the results, intervention programmes for dietary correction and the effect of nutrition on the body have to be emphasised to lactating mothers for better health and nutritional outcomes.","PeriodicalId":509705,"journal":{"name":"Journal of Health Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140982965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The COVID-19 new deaths’ highest numbers in Southeast Asia were reported from Indonesia, with 8,784 new deaths. Healthcare workers (HCWs) have several roles in the COVID-19 vaccine implementation. This study aimed to assess COVID-19 vaccine perception and belief among HCWs and identify demographic mapping by using the geographical information system. This study used a quantitative method with cross-sectional design, wherein 112 registered HCWs in the Indonesian hospital and healthcare centre were shared a survey questionnaire using Google Forms® and then visualised it through geographic mapping. The perception of HCWs regarding the COVID-19 vaccine was considered good but in contrast to the belief. There was a significant relationship between age [ p value = .021; odds ratio (OR): 2.692; 95% confidence interval (CI): 1.229–5.896] and also HCWs’ workplace ( p value = .040; OR: 0.231; 95% CI: 0.0620–0.862) towards the belief of HCWs regarding the COVID-19 vaccine. Developing strategies to decrease HCWs and public hesitation and increase trust is vital for implementing vaccination programmes.
{"title":"Perception and Belief of Healthcare Workers regarding the COVID-19 Vaccine: A \u2028Cross-Sectional Study and Geographic \u2028Information System Mapping","authors":"Widya Ratna Wulan, Evina Widianawati, Faik Agiwahyuanto","doi":"10.1177/09720634241246941","DOIUrl":"https://doi.org/10.1177/09720634241246941","url":null,"abstract":"The COVID-19 new deaths’ highest numbers in Southeast Asia were reported from Indonesia, with 8,784 new deaths. Healthcare workers (HCWs) have several roles in the COVID-19 vaccine implementation. This study aimed to assess COVID-19 vaccine perception and belief among HCWs and identify demographic mapping by using the geographical information system. This study used a quantitative method with cross-sectional design, wherein 112 registered HCWs in the Indonesian hospital and healthcare centre were shared a survey questionnaire using Google Forms® and then visualised it through geographic mapping. The perception of HCWs regarding the COVID-19 vaccine was considered good but in contrast to the belief. There was a significant relationship between age [ p value = .021; odds ratio (OR): 2.692; 95% confidence interval (CI): 1.229–5.896] and also HCWs’ workplace ( p value = .040; OR: 0.231; 95% CI: 0.0620–0.862) towards the belief of HCWs regarding the COVID-19 vaccine. Developing strategies to decrease HCWs and public hesitation and increase trust is vital for implementing vaccination programmes.","PeriodicalId":509705,"journal":{"name":"Journal of Health Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140999452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-03DOI: 10.1177/09720634241244428
Shrabanti Maity, Anup Sinha
Currently, COVID-19 is the most lethal menace in the world. Due to its health and economic consequences, it becomes a serious challenge for the economy. The present article aims to explore India’s interstate disparities of efficiency in combating COVID-19 based on secondary data. Besides, an attempt has been made to pinpoint the factors responsible for the inefficiency of resisting this deadly virus. The interstate efficiency measurement is facilitated by applying stochastic production frontier analysis. The empirical result divulges that among the Indian states, Bihar is the most efficient in combating COVID-19. The empirical estimation of the frontier model discloses that the number of doctors, nurses, police force, isolation beds and hotspots positively and significantly influence the recovery rate from COVID-19 in Indian states. The empirical results of the inefficiency effects model suggest that the share of elderly and urbanisation reversely influence the efficiency in combating the virus, while favourable sex ratio, literacy rate, regular salaried employment, digitalisation and ruralisation stimulate the efficiency of the concerned state. The study concludes that efficient utilisation, coupled with the advancement of the existing health infrastructure, is imperative for the acceleration of the recovery rate from this pandemic.
{"title":"Interstate Disparity in Combating COVID-19 in India: Efficiency Estimate Across States","authors":"Shrabanti Maity, Anup Sinha","doi":"10.1177/09720634241244428","DOIUrl":"https://doi.org/10.1177/09720634241244428","url":null,"abstract":"Currently, COVID-19 is the most lethal menace in the world. Due to its health and economic consequences, it becomes a serious challenge for the economy. The present article aims to explore India’s interstate disparities of efficiency in combating COVID-19 based on secondary data. Besides, an attempt has been made to pinpoint the factors responsible for the inefficiency of resisting this deadly virus. The interstate efficiency measurement is facilitated by applying stochastic production frontier analysis. The empirical result divulges that among the Indian states, Bihar is the most efficient in combating COVID-19. The empirical estimation of the frontier model discloses that the number of doctors, nurses, police force, isolation beds and hotspots positively and significantly influence the recovery rate from COVID-19 in Indian states. The empirical results of the inefficiency effects model suggest that the share of elderly and urbanisation reversely influence the efficiency in combating the virus, while favourable sex ratio, literacy rate, regular salaried employment, digitalisation and ruralisation stimulate the efficiency of the concerned state. The study concludes that efficient utilisation, coupled with the advancement of the existing health infrastructure, is imperative for the acceleration of the recovery rate from this pandemic.","PeriodicalId":509705,"journal":{"name":"Journal of Health Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141017525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-02DOI: 10.1177/09720634241246920
Haşim Çapar, Fadime Çınar, G. Ekinci
The main objective of this study is to evaluate the performance of Turkey’s Health System during the COVID-19 pandemic. A cross-sectional study was conducted in Turkey among 656 people using a questionnaire. STATA 14.0 statistical software package was used for analysing the data. Frequency, percentage, mean, standard deviation, t-test and one-way analysis of variance test were used. The participants’ Healthcare System Performance Evaluation Scale total score mean [Formula: see text] = 3.60 ± 0.6 in the sub-dimension of ‘Safe and Security’ [Formula: see text] = 3.63 ± 0.8, in the sub-dimension of ‘Transparency’ [Formula: see text] = 3.15 ± 1.1, in the sub-dimension ‘Accessibility’ [Formula: see text] = 3.79 ± 0.9, in the sub-dimension ‘Affordability’ [Formula: see text] = 3.83 ± 0.8 was determined. The Healthcare System Performance Evaluation Scale and a sub-dimension of this scale, accessibility, scores of them are high and differed statistically by age. The affordability sub-scale score was statistically different from income groups ( F = 6.47; p < .05). Although the performance of the general healthcare system is high, it was seen that the scores regarding the transparency of the information shared during COVID-19 were partially lower than other dimensions.
{"title":"Evaluation of Turkey’s Healthcare System Performance in COVID-19 Pandemic Period","authors":"Haşim Çapar, Fadime Çınar, G. Ekinci","doi":"10.1177/09720634241246920","DOIUrl":"https://doi.org/10.1177/09720634241246920","url":null,"abstract":"The main objective of this study is to evaluate the performance of Turkey’s Health System during the COVID-19 pandemic. A cross-sectional study was conducted in Turkey among 656 people using a questionnaire. STATA 14.0 statistical software package was used for analysing the data. Frequency, percentage, mean, standard deviation, t-test and one-way analysis of variance test were used. The participants’ Healthcare System Performance Evaluation Scale total score mean [Formula: see text] = 3.60 ± 0.6 in the sub-dimension of ‘Safe and Security’ [Formula: see text] = 3.63 ± 0.8, in the sub-dimension of ‘Transparency’ [Formula: see text] = 3.15 ± 1.1, in the sub-dimension ‘Accessibility’ [Formula: see text] = 3.79 ± 0.9, in the sub-dimension ‘Affordability’ [Formula: see text] = 3.83 ± 0.8 was determined. The Healthcare System Performance Evaluation Scale and a sub-dimension of this scale, accessibility, scores of them are high and differed statistically by age. The affordability sub-scale score was statistically different from income groups ( F = 6.47; p < .05). Although the performance of the general healthcare system is high, it was seen that the scores regarding the transparency of the information shared during COVID-19 were partially lower than other dimensions.","PeriodicalId":509705,"journal":{"name":"Journal of Health Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141019769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-25DOI: 10.1177/09720634241246904
Doğancan Çavmak, Semra Aksoylu
Logistics holds an important role in healthcare provision. One of the significant dimensions of logistics is the cost incurred for these activities. However, the cost of logistics is an overlooked issue in most healthcare organisations. The purpose of this study is to provide an insight into the cost of logistic activities in healthcare businesses. A case study was conducted in a medical centre in Istanbul. Historical data (second half of 2021) were used for the analysis. Activity-based costing method was adopted for cost calculation. In line with this approach, logistic activities of the medical centre were examined, and logistic activity centres were determined. Resource consumption of each centre was determined based on interviews with staff and records of the accounting department. Consequently, the costs of all logistic activities of the medical centre were calculated, and their share in the total cost of service production was determined. The total logistical cost of the healthcare centre was calculated to be ₺689,983. The cost of patient services and transporting activity centres accounted for 49% of total logistical costs. The costs of logistic activities accounted for 15.42% of the total cost of service. The results of the study show that logistic activities have a significant share of the total cost of service production in the medical centre. Activity-based costing is an effective way of calculating costs of logistic activities in healthcare services. Managers can use cost data to improve logistic processes.
{"title":"What is the Cost of Logistics Activities in \u2028Healthcare Businesses? A Case Study of \u2028a Medical Centre in Türkiye","authors":"Doğancan Çavmak, Semra Aksoylu","doi":"10.1177/09720634241246904","DOIUrl":"https://doi.org/10.1177/09720634241246904","url":null,"abstract":"Logistics holds an important role in healthcare provision. One of the significant dimensions of logistics is the cost incurred for these activities. However, the cost of logistics is an overlooked issue in most healthcare organisations. The purpose of this study is to provide an insight into the cost of logistic activities in healthcare businesses. A case study was conducted in a medical centre in Istanbul. Historical data (second half of 2021) were used for the analysis. Activity-based costing method was adopted for cost calculation. In line with this approach, logistic activities of the medical centre were examined, and logistic activity centres were determined. Resource consumption of each centre was determined based on interviews with staff and records of the accounting department. Consequently, the costs of all logistic activities of the medical centre were calculated, and their share in the total cost of service production was determined. The total logistical cost of the healthcare centre was calculated to be ₺689,983. The cost of patient services and transporting activity centres accounted for 49% of total logistical costs. The costs of logistic activities accounted for 15.42% of the total cost of service. The results of the study show that logistic activities have a significant share of the total cost of service production in the medical centre. Activity-based costing is an effective way of calculating costs of logistic activities in healthcare services. Managers can use cost data to improve logistic processes.","PeriodicalId":509705,"journal":{"name":"Journal of Health Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140655701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-25DOI: 10.1177/09720634241246329
Alper Kayaalp, Kyle J. Page, Tyler Carlson
This study investigated the relationship of employee openness to organisational change with job stress and turnover intentions and tested the moderating effect of psychological ownership in a healthcare context. Participants were employees from a large, non-profit, Midwestern US healthcare organisation that was in the process of a large-scale change initiative (i.e., merger). Our findings indicated that there is a negative relationship between employee openness to organisational change and job stress and turnover intentions. Results also revealed that employees with a higher level of psychological ownership and openness to change tended to experience less job stress. Psychological ownership has not been examined as a moderator in organisational change contexts despite its obvious relevance. Our findings indicate that employee openness to organisational change and psychological ownership are two individual-level attitudes critical to improving crucial individual and organisational outcomes in the change process.
{"title":"Understanding Employee Openness to Organisational Change in a Healthcare Organisation: Stress, Turnover Intentions and \u2028the Moderating Role of Psychological Ownership","authors":"Alper Kayaalp, Kyle J. Page, Tyler Carlson","doi":"10.1177/09720634241246329","DOIUrl":"https://doi.org/10.1177/09720634241246329","url":null,"abstract":"This study investigated the relationship of employee openness to organisational change with job stress and turnover intentions and tested the moderating effect of psychological ownership in a healthcare context. Participants were employees from a large, non-profit, Midwestern US healthcare organisation that was in the process of a large-scale change initiative (i.e., merger). Our findings indicated that there is a negative relationship between employee openness to organisational change and job stress and turnover intentions. Results also revealed that employees with a higher level of psychological ownership and openness to change tended to experience less job stress. Psychological ownership has not been examined as a moderator in organisational change contexts despite its obvious relevance. Our findings indicate that employee openness to organisational change and psychological ownership are two individual-level attitudes critical to improving crucial individual and organisational outcomes in the change process.","PeriodicalId":509705,"journal":{"name":"Journal of Health Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140653505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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