Opioid Habit Disorder (OHD), which has become a mass health epidemic, is defined as the psychological or physical dependency on opioids. This study demonstrates how supervised machine learning procedures help us investigate and examine massive data to discover the hidden patterns in any disease to deliver adapted dealing and predict the disease in any patient. This work presents a generalized model for forecasting a disease in the healthcare sector. The proposed model was investigated and tested using a reduced feature-set of the Opioid Habit Disorder (OHD) dataset collected from the National Survey on Drug Use and Health (NSDUH) using an improved Iterative Dichotomiser 3 (pro-IDT) algorithm. The proposed healthcare model is also compared with further machine learning algorithms such as ID3, Random Forest, and Bayesian Classifier in Python programming. The performance of the proposed work and other machine-learning algorithms has estimated accuracy, precision, misclassification rate, recall, specificity, and F1 score.
{"title":"An Improved Supervised Classification Algorithm in Healthcare Diagnostics for Predicting Opioid Habit Disorder","authors":"Khushboo Jain, Akansha Singh, Poonam Singh, Sanjana Yadav","doi":"10.4018/ijrqeh.297088","DOIUrl":"https://doi.org/10.4018/ijrqeh.297088","url":null,"abstract":"Opioid Habit Disorder (OHD), which has become a mass health epidemic, is defined as the psychological or physical dependency on opioids. This study demonstrates how supervised machine learning procedures help us investigate and examine massive data to discover the hidden patterns in any disease to deliver adapted dealing and predict the disease in any patient. This work presents a generalized model for forecasting a disease in the healthcare sector. The proposed model was investigated and tested using a reduced feature-set of the Opioid Habit Disorder (OHD) dataset collected from the National Survey on Drug Use and Health (NSDUH) using an improved Iterative Dichotomiser 3 (pro-IDT) algorithm. The proposed healthcare model is also compared with further machine learning algorithms such as ID3, Random Forest, and Bayesian Classifier in Python programming. The performance of the proposed work and other machine-learning algorithms has estimated accuracy, precision, misclassification rate, recall, specificity, and F1 score.","PeriodicalId":36298,"journal":{"name":"International Journal of Reliable and Quality E-Healthcare","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44420559","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 forecasting model used random forest algorithm. From the outcomes, it has been found that the regression models utilize basic linkage works and are exceptionally solid for forecast of COVID-19 cases in different countries as well as India. Current shared of worldwide COVID-19 confirmed case has been predicted by taking the world population and a comparatives study has been done on COVID-19 total cases growth for top 10 worst affected countries including US and excluding US. The ratio between confirmed cases vs. fatalities of COVID-19 is predicted and in the end a special study has been done on India where we have forecasted all the age groups affected by COVID-19 then we have extended our study to forecast the active, death and recovered cases especially in India and compared the situation with other countries.
{"title":"COVID-19 Outbreak Prediction and Analysis of E-Healthcare Data Using Random Forest Algorithms","authors":"Debabrata Dansana, Raghvendra Kumar, Aishik Bhattacharjee, Chandrakanta Mahanty","doi":"10.4018/ijrqeh.297075","DOIUrl":"https://doi.org/10.4018/ijrqeh.297075","url":null,"abstract":"The forecasting model used random forest algorithm. From the outcomes, it has been found that the regression models utilize basic linkage works and are exceptionally solid for forecast of COVID-19 cases in different countries as well as India. Current shared of worldwide COVID-19 confirmed case has been predicted by taking the world population and a comparatives study has been done on COVID-19 total cases growth for top 10 worst affected countries including US and excluding US. The ratio between confirmed cases vs. fatalities of COVID-19 is predicted and in the end a special study has been done on India where we have forecasted all the age groups affected by COVID-19 then we have extended our study to forecast the active, death and recovered cases especially in India and compared the situation with other countries.","PeriodicalId":36298,"journal":{"name":"International Journal of Reliable and Quality E-Healthcare","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43691845","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}
ISO/IEC 17025:2017 and ISO 15189:2012 specify the requirements for the competence of laboratories. The former refers to laboratories in general, whose activities include testing, calibration and sampling followed by testing or calibration while the latter refers to medical laboratories. Despite the differences between the two standards reflecting the specific needs each of them is addressing, the development of these two documents has, until now, followed similar paths. In this presentation the requirements of ISO/IEC 17025 referring to sampling and the uncertainty arising from it are presented underlining what testing laboratories need to consider. In addition, a comparison with the requirements of ISO 15189 with regard to sampling and measurement uncertainty is made. Based on this, the question whether an approach on uncertainty from sampling similar to the one introduced by the new ISO/IEC 17025 can be included in the revision of ISO 15189, currently under way, is addressed.
{"title":"Uncertainty from Sampling - Could the Requirements of ISO/IEC 17025 (2017) be adopted in Medical Laboratories?","authors":"K. Tsimillis, Sappho Michael","doi":"10.4018/ijrqeh.295082","DOIUrl":"https://doi.org/10.4018/ijrqeh.295082","url":null,"abstract":"ISO/IEC 17025:2017 and ISO 15189:2012 specify the requirements for the competence of laboratories. The former refers to laboratories in general, whose activities include testing, calibration and sampling followed by testing or calibration while the latter refers to medical laboratories. Despite the differences between the two standards reflecting the specific needs each of them is addressing, the development of these two documents has, until now, followed similar paths. In this presentation the requirements of ISO/IEC 17025 referring to sampling and the uncertainty arising from it are presented underlining what testing laboratories need to consider. In addition, a comparison with the requirements of ISO 15189 with regard to sampling and measurement uncertainty is made. Based on this, the question whether an approach on uncertainty from sampling similar to the one introduced by the new ISO/IEC 17025 can be included in the revision of ISO 15189, currently under way, is addressed.","PeriodicalId":36298,"journal":{"name":"International Journal of Reliable and Quality E-Healthcare","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48699079","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}
Roopa Jayasingh J., Jeba Kumar R. J. S., Deepika Blessy Telagathoti, K. Sagayam, S. Pramanik, O. P. Jena, S. Bandyopadhyay
Kidney stones are renal calculi that are formed due to the collection of calcium and uric acid. The major symptom for the existence of these renal calculi is severe pain, especially when it travels down the urethras To detect these renal calculi, ultrasound images are preferable. But these images have speckle noise which makes the detection of stone challenge. To obtain better results, Semantic Object Region and Morphological Analysis (SORAMA) found to be productive. First scanned image undergoes noise removal process Later the image is enhanced. Detection of Region of interest (ROI) in the image is done. Later it undergoes Dilation and Erosion were a part of Morphological analysis which produces a smoothening effect on the image. From the smoothened image, the stone is detected. If the stone is not detected then it again undergoes noise removal technique and the whole process is repeated until the smoothened image with the stone is detected. This novel research paper will be a boon to medical patients suffering from this disease to be detected and diagnose at a very early stage.
{"title":"Speckle Noise Removal by SORAMA Segmentation in Digital Image Processing to Facilitate Precise Robotic Surgery","authors":"Roopa Jayasingh J., Jeba Kumar R. J. S., Deepika Blessy Telagathoti, K. Sagayam, S. Pramanik, O. P. Jena, S. Bandyopadhyay","doi":"10.4018/ijrqeh.295083","DOIUrl":"https://doi.org/10.4018/ijrqeh.295083","url":null,"abstract":"Kidney stones are renal calculi that are formed due to the collection of calcium and uric acid. The major symptom for the existence of these renal calculi is severe pain, especially when it travels down the urethras To detect these renal calculi, ultrasound images are preferable. But these images have speckle noise which makes the detection of stone challenge. To obtain better results, Semantic Object Region and Morphological Analysis (SORAMA) found to be productive. First scanned image undergoes noise removal process Later the image is enhanced. Detection of Region of interest (ROI) in the image is done. Later it undergoes Dilation and Erosion were a part of Morphological analysis which produces a smoothening effect on the image. From the smoothened image, the stone is detected. If the stone is not detected then it again undergoes noise removal technique and the whole process is repeated until the smoothened image with the stone is detected. This novel research paper will be a boon to medical patients suffering from this disease to be detected and diagnose at a very early stage.","PeriodicalId":36298,"journal":{"name":"International Journal of Reliable and Quality E-Healthcare","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47376453","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}
Indian Ancient Vedic Science, which has fascinated the world researchers, has become more relevant in the 21st century because of other global crises and threats. It has shown a powerful impact in all the areas of life, especially in curing physical and mental ailments. The various violent incidents in European countries and the USA have forced the world political, religious and science leaders to find alternative remedies. Mental fitness has been a great challenge. Yajna Science has multiple advantages and affirmative responses in this direction. The author's team presents this study that measures Vedic Mantra and Yajna Sciences' effect on stress, anxiety, and checks its impact in a worldwide depression-like scenario. The data analysis and visualizations have been done in python to show the different mental fitness angles, taking various demographic parameters into account.
{"title":"Scientific Aspects of the Indian Vedic Sciences and Their Effect on Stress","authors":"R. Rastogi","doi":"10.4018/ijrqeh.298633","DOIUrl":"https://doi.org/10.4018/ijrqeh.298633","url":null,"abstract":"Indian Ancient Vedic Science, which has fascinated the world researchers, has become more relevant in the 21st century because of other global crises and threats. It has shown a powerful impact in all the areas of life, especially in curing physical and mental ailments. The various violent incidents in European countries and the USA have forced the world political, religious and science leaders to find alternative remedies. Mental fitness has been a great challenge. Yajna Science has multiple advantages and affirmative responses in this direction. The author's team presents this study that measures Vedic Mantra and Yajna Sciences' effect on stress, anxiety, and checks its impact in a worldwide depression-like scenario. The data analysis and visualizations have been done in python to show the different mental fitness angles, taking various demographic parameters into account.","PeriodicalId":36298,"journal":{"name":"International Journal of Reliable and Quality E-Healthcare","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44021618","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 study aimed to highlight the work of different researchers and publication platforms in disseminating knowledge about medication adherence and the use of reminders. The trend of publication, prominent contributors, funders, countries, and shift in the use of reminders was encompassed based on bibliographic and text analysis. Articles published in the last ten years between 2011 to 2020 were extracted from the Scopus database. Data of 1007 articles were analysed in VOS viewer to obtain graphs and network diagrams. Most of the research was done in the United States (526 documents). The research conducted by Harvard Medical School had the maximum number of publications (42). In recent years there has been active publication from the countries like Norway, France, Singapore and China. It was also found that studies at the beginning of the decade were mainly focused on SMS and mobile phone interventions. The trend has shifted towards intentions like mobile applications, and the term “mhealth” is used more in the current years.
{"title":"Bibliographic Analysis of Medication Adherence and Use of Reminders","authors":"Saibal Kumar Saha","doi":"10.4018/ijrqeh.296692","DOIUrl":"https://doi.org/10.4018/ijrqeh.296692","url":null,"abstract":"The study aimed to highlight the work of different researchers and publication platforms in disseminating knowledge about medication adherence and the use of reminders. The trend of publication, prominent contributors, funders, countries, and shift in the use of reminders was encompassed based on bibliographic and text analysis. Articles published in the last ten years between 2011 to 2020 were extracted from the Scopus database. Data of 1007 articles were analysed in VOS viewer to obtain graphs and network diagrams. Most of the research was done in the United States (526 documents). The research conducted by Harvard Medical School had the maximum number of publications (42). In recent years there has been active publication from the countries like Norway, France, Singapore and China. It was also found that studies at the beginning of the decade were mainly focused on SMS and mobile phone interventions. The trend has shifted towards intentions like mobile applications, and the term “mhealth” is used more in the current years.","PeriodicalId":36298,"journal":{"name":"International Journal of Reliable and Quality E-Healthcare","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45509755","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 : 2021-07-01DOI: 10.4018/IJRQEH.2021070103
R. Rastogi, M. Saxena, S. Sagar, N. Tandon, T. Rajeshwari, B. Singh, Priyanshi Garg, Madhulika Singh, Komal Singh, Luv Dhamija, Mayank Sharma
Earth's atmosphere is mainly made up of two gases, nitrogen and oxygen, which together comprise 99% of gases therein. The other gases include the remaining 1% of the atmosphere. Amongst these are the five major air pollutants (e.g., ground-level ozone, airborne particles or aerosols, carbon monoxide, sulfur dioxide, nitrogen dioxide). Excess of these pollutants in the atmosphere is risky to human health. They are the main ingredients of smog. Air quality is measured with the air quality index. An AQI under 50 is considered as good air quality; however, as the AQI number increases, it becomes a concern for human health. To find a non-conventional solution to air pollution problem, it has been proposed to do Yagya, a fire process with three different samidhas, namely mango wood, bargad wood, and dry cow dung sticks and study their relative emissions and ability to reduce the aerosols PM 2.5 and PM 10. In this paper, the researcher has measured the PM levels (PM 2.5 and PM 10) and carbon dioxide CO2 along with AQI, temperature, and humidity.
{"title":"Computational Analysis of Air Quality and the Potential of Rich Indian Tradition for Healthcare 4.0","authors":"R. Rastogi, M. Saxena, S. Sagar, N. Tandon, T. Rajeshwari, B. Singh, Priyanshi Garg, Madhulika Singh, Komal Singh, Luv Dhamija, Mayank Sharma","doi":"10.4018/IJRQEH.2021070103","DOIUrl":"https://doi.org/10.4018/IJRQEH.2021070103","url":null,"abstract":"Earth's atmosphere is mainly made up of two gases, nitrogen and oxygen, which together comprise 99% of gases therein. The other gases include the remaining 1% of the atmosphere. Amongst these are the five major air pollutants (e.g., ground-level ozone, airborne particles or aerosols, carbon monoxide, sulfur dioxide, nitrogen dioxide). Excess of these pollutants in the atmosphere is risky to human health. They are the main ingredients of smog. Air quality is measured with the air quality index. An AQI under 50 is considered as good air quality; however, as the AQI number increases, it becomes a concern for human health. To find a non-conventional solution to air pollution problem, it has been proposed to do Yagya, a fire process with three different samidhas, namely mango wood, bargad wood, and dry cow dung sticks and study their relative emissions and ability to reduce the aerosols PM 2.5 and PM 10. In this paper, the researcher has measured the PM levels (PM 2.5 and PM 10) and carbon dioxide CO2 along with AQI, temperature, and humidity.","PeriodicalId":36298,"journal":{"name":"International Journal of Reliable and Quality E-Healthcare","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48409490","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 : 2021-07-01DOI: 10.4018/IJRQEH.2021070104
Stavros K Archondakis
The Milan System for Reporting Salivary Gland Cytopathology (MSRSGC), which was adopted in 2018, is an excellent tool for the diagnosis and management of salivary glands lesions. A telemedical application is a valuable tool for cytopathologists in order to manage and promote interlaboratory collaboration. The result is better cytological data management and sharing. Telecytological diagnoses should be as reliable as those made using conventional microscopy. There are very few studies available that have focused on the implementation digital images, captured by static telecytology stations for telemedical applications in the field of cytopathology. The present study aims to evaluate the diagnostic reproducibility of telecytology in salivary glands aspiration specimens among three cytopathologists using representative simages captured by a static telecytology station. The study also examined the agreement between contributor and the reviewer diagnoses.
{"title":"Implementation of Static Telecytology Applications for Remote Evaluation of Salivary Glands Fine Needle Aspiration Specimens","authors":"Stavros K Archondakis","doi":"10.4018/IJRQEH.2021070104","DOIUrl":"https://doi.org/10.4018/IJRQEH.2021070104","url":null,"abstract":"The Milan System for Reporting Salivary Gland Cytopathology (MSRSGC), which was adopted in 2018, is an excellent tool for the diagnosis and management of salivary glands lesions. A telemedical application is a valuable tool for cytopathologists in order to manage and promote interlaboratory collaboration. The result is better cytological data management and sharing. Telecytological diagnoses should be as reliable as those made using conventional microscopy. There are very few studies available that have focused on the implementation digital images, captured by static telecytology stations for telemedical applications in the field of cytopathology. The present study aims to evaluate the diagnostic reproducibility of telecytology in salivary glands aspiration specimens among three cytopathologists using representative simages captured by a static telecytology station. The study also examined the agreement between contributor and the reviewer diagnoses.","PeriodicalId":36298,"journal":{"name":"International Journal of Reliable and Quality E-Healthcare","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47084053","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 : 2021-07-01DOI: 10.4018/IJRQEH.2021070101
Meenakshi Gijare, P. Bandyopadhyay, Sonali Bhattacharya
The aim of the present study was to assess the impact of accreditation in enhancing the knowledge of healthcare professionals on management of quality. A self-administered questionnaire was distributed to selected healthcare professionals in various hospitals in India predominantly from accredited hospitals. About 600 potential respondents were selected. A 40-item survey was designed and comprised questions on demographic data, knowledge of definition of general quality, healthcare quality and implementation of quality systems in hospitals, and the difference between various standards of measurement of quality in healthcare and quality in support functions. The knowledge of healthcare professionals significantly varies according to their designations, accreditation status of the work place, and their qualification. Overall, good knowledge on quality is suggestive of conceptual clarity among healthcare professionals regarding quality who either have exposure to hospital accreditation or are working in accredited hospitals.
{"title":"Impact of Accreditation on Healthcare Professionals' Knowledge on Quality Management","authors":"Meenakshi Gijare, P. Bandyopadhyay, Sonali Bhattacharya","doi":"10.4018/IJRQEH.2021070101","DOIUrl":"https://doi.org/10.4018/IJRQEH.2021070101","url":null,"abstract":"The aim of the present study was to assess the impact of accreditation in enhancing the knowledge of healthcare professionals on management of quality. A self-administered questionnaire was distributed to selected healthcare professionals in various hospitals in India predominantly from accredited hospitals. About 600 potential respondents were selected. A 40-item survey was designed and comprised questions on demographic data, knowledge of definition of general quality, healthcare quality and implementation of quality systems in hospitals, and the difference between various standards of measurement of quality in healthcare and quality in support functions. The knowledge of healthcare professionals significantly varies according to their designations, accreditation status of the work place, and their qualification. Overall, good knowledge on quality is suggestive of conceptual clarity among healthcare professionals regarding quality who either have exposure to hospital accreditation or are working in accredited hospitals.","PeriodicalId":36298,"journal":{"name":"International Journal of Reliable and Quality E-Healthcare","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48639015","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 : 2021-07-01DOI: 10.4018/IJRQEH.2021070102
Saibal Kumar Saha, Anindita Adhikary, A. Jha, V. Mehta
Medication non-compliance is common among patients suffering from chronic disease. The research aims to find the effectiveness of food timing as a form of intervention to improve medication compliance. 509 patients were interviewed who were under the medication and had their treatment from Central Referral Hospital, Sikkim. The technique of probability estimates, risk difference, relative risk, and odds ratios were used to do the analysis and predictions of medication compliance when food timing was used as a form of reminder. Analysis of confidence interval at 95% ensured that the results obtained were due to the use of reminder and not by chance. The study reveals that with the help of food timing as a form of reminder, a patient has 50.2% lower odds of deferring from the scheduled time of medicine. There are 129.2% greater odds of completing the course of medication, 41.4% lower odds of missing the medication consciously, and there are 56.6% lower odds of missing the medication dose. The probability numbers indicate the effectiveness of usage of this form of reminder.
{"title":"Using Food Timing as an Intervention to Improve Medication Compliance","authors":"Saibal Kumar Saha, Anindita Adhikary, A. Jha, V. Mehta","doi":"10.4018/IJRQEH.2021070102","DOIUrl":"https://doi.org/10.4018/IJRQEH.2021070102","url":null,"abstract":"Medication non-compliance is common among patients suffering from chronic disease. The research aims to find the effectiveness of food timing as a form of intervention to improve medication compliance. 509 patients were interviewed who were under the medication and had their treatment from Central Referral Hospital, Sikkim. The technique of probability estimates, risk difference, relative risk, and odds ratios were used to do the analysis and predictions of medication compliance when food timing was used as a form of reminder. Analysis of confidence interval at 95% ensured that the results obtained were due to the use of reminder and not by chance. The study reveals that with the help of food timing as a form of reminder, a patient has 50.2% lower odds of deferring from the scheduled time of medicine. There are 129.2% greater odds of completing the course of medication, 41.4% lower odds of missing the medication consciously, and there are 56.6% lower odds of missing the medication dose. The probability numbers indicate the effectiveness of usage of this form of reminder.","PeriodicalId":36298,"journal":{"name":"International Journal of Reliable and Quality E-Healthcare","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48210139","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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