Pub Date : 2022-03-10DOI: 10.1080/17538157.2022.2042303
Chen-Yin Tung, Chia-Chen Chang, Jang-Wei Jian, Yuli Du, Cai-Ting Wu
ABSTRACT Wearable Health Technology (WHT) is considered to be fast, feasible, and effective in workplace health promotion programs. This study aims to analyze behavior change strategies applied to WHT products used by employees in health promotion programs. A systematic literature review of WHT in workplace health promotion between 2006 and 2020 was conducted. The Behavior Change Wheel (BCW) was used to undertake the content analysis. We identified 14 articles of WHT in the workplace. First, physical activity and weight management were the most common health issue. Second, using the BCW, we found guidelines, regulation and communication were the most frequently applied policy categories. Third, education, enablement and training were the most common intervention functions. For example, the promoter could provide health education information by WHT. Moreover, encouraging online would motivate employees to improve health behavior. There has been a growing interest in WHT with increasing complexity in research designs and specifications. While using WHT can be an appropriate strategy to adopt as employee health projects, other interventions should be considered, for incentivization and modeling, etc. The results of this study suggest using WHT should take related health behavior theories or variables into consideration to form a comprehensive health promotion programs.
{"title":"Studying wearable health technology in the workplace using the Behavior Change Wheel: a systematic literature review and content analysis","authors":"Chen-Yin Tung, Chia-Chen Chang, Jang-Wei Jian, Yuli Du, Cai-Ting Wu","doi":"10.1080/17538157.2022.2042303","DOIUrl":"https://doi.org/10.1080/17538157.2022.2042303","url":null,"abstract":"ABSTRACT Wearable Health Technology (WHT) is considered to be fast, feasible, and effective in workplace health promotion programs. This study aims to analyze behavior change strategies applied to WHT products used by employees in health promotion programs. A systematic literature review of WHT in workplace health promotion between 2006 and 2020 was conducted. The Behavior Change Wheel (BCW) was used to undertake the content analysis. We identified 14 articles of WHT in the workplace. First, physical activity and weight management were the most common health issue. Second, using the BCW, we found guidelines, regulation and communication were the most frequently applied policy categories. Third, education, enablement and training were the most common intervention functions. For example, the promoter could provide health education information by WHT. Moreover, encouraging online would motivate employees to improve health behavior. There has been a growing interest in WHT with increasing complexity in research designs and specifications. While using WHT can be an appropriate strategy to adopt as employee health projects, other interventions should be considered, for incentivization and modeling, etc. The results of this study suggest using WHT should take related health behavior theories or variables into consideration to form a comprehensive health promotion programs.","PeriodicalId":440622,"journal":{"name":"Informatics for Health and Social Care","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129709698","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 : 2022-02-27DOI: 10.1080/17538157.2022.2042304
V. Patel, Sabreena Moosa, Sanjana Sundaram, L. Langer, T. MacMillan, R. Cavalcanti, P. Cram, K. Gunaratne, M. Bayley, R. Wu
ABSTRACT Wearable devices for hospitalized patients could help improve care. The purpose of this study was to highlight key barriers and facilitators involved in adopting wearable technology in acute care settings using patient and clinician feedback. Hospitalized patients, 18 years or older, were recruited at the General Medicine inpatient units in Toronto, Ontario to wear the Fitbit® Charge 2 or Charge 3. Fifty General Medicine adult inpatients were recruited. Patients and nurses provided feedback on structured questionnaires. Key themes from open-ended questions were analyzed. Primary outcomes of interest included the exploring patient and nurse perceptions of their experiences with wearable devices as well as their feasibility in clinical settings. Overall, both patients (n = 39) and nurses (n = 28) valued the information provided by Fitbits and shared concerns about device functionality and wearable design. Specifically, patients were interested in using wearables to enhance their self-monitoring, while nurses questioned data validity, as well as ease of incorporating wearables into their workflow. We found that patients wanted improved device design and functionality and valued the opportunity to improve their self-efficacy and to work in partnership with the medical team using wearable technology. Nurses wanted more device functionality and validation and easier ways to incorporate them into their workflow. To achieve the potential benefits of using wearable devices for enhanced monitoring, this study identifies challenges that must first be addressed in order for this technology to be widely adopted in clinical settings.
{"title":"Perceptions of patients and nurses regarding the use of wearables in inpatient settings: a mixed methods study","authors":"V. Patel, Sabreena Moosa, Sanjana Sundaram, L. Langer, T. MacMillan, R. Cavalcanti, P. Cram, K. Gunaratne, M. Bayley, R. Wu","doi":"10.1080/17538157.2022.2042304","DOIUrl":"https://doi.org/10.1080/17538157.2022.2042304","url":null,"abstract":"ABSTRACT Wearable devices for hospitalized patients could help improve care. The purpose of this study was to highlight key barriers and facilitators involved in adopting wearable technology in acute care settings using patient and clinician feedback. Hospitalized patients, 18 years or older, were recruited at the General Medicine inpatient units in Toronto, Ontario to wear the Fitbit® Charge 2 or Charge 3. Fifty General Medicine adult inpatients were recruited. Patients and nurses provided feedback on structured questionnaires. Key themes from open-ended questions were analyzed. Primary outcomes of interest included the exploring patient and nurse perceptions of their experiences with wearable devices as well as their feasibility in clinical settings. Overall, both patients (n = 39) and nurses (n = 28) valued the information provided by Fitbits and shared concerns about device functionality and wearable design. Specifically, patients were interested in using wearables to enhance their self-monitoring, while nurses questioned data validity, as well as ease of incorporating wearables into their workflow. We found that patients wanted improved device design and functionality and valued the opportunity to improve their self-efficacy and to work in partnership with the medical team using wearable technology. Nurses wanted more device functionality and validation and easier ways to incorporate them into their workflow. To achieve the potential benefits of using wearable devices for enhanced monitoring, this study identifies challenges that must first be addressed in order for this technology to be widely adopted in clinical settings.","PeriodicalId":440622,"journal":{"name":"Informatics for Health and Social Care","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134618172","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 : 2020-07-02DOI: 10.1080/17538157.2019.1656210
Stephanie J. Alley, Pam Samra, A. Rebar, Stephanie Schoeppe, L. Parkinson, Deborah Power, J. van Uffelen, A. Schneiders, C. Vandelanotte
ABSTRACT Objective: To explore older adults’ perceptions and preferences for web-based physical activity interventions. Participants: Adults 65+ years were recruited via telephoning randomly selected households in Central Queensland, Australia. Methods: Six focus groups were conducted with a total of 46 adults 65+ years. Data were analyzed by qualitative content analysis. Results: This group of older adults liked websites that have links to information and included instructional videos and disliked websites that were hard to navigate. Many participants did not express an initial interest in web-based physical activity programs. The most common reason was that they did not have a computer or adequate internet connection. Some participants said they would be interested if it included a structured exercise program. When asked about preferences for web-based physical activity programs, this group preferred them to be simple and not cluttered, to include personalized advice, to include reminder check-ins and the ability to review goals after illness or injury. The most common preference for personalized advice in web-based interventions was that the information needs to be tailored to their existing injuries and illnesses. Conclusion: The findings from this study will inform the design of future web-based interventions specifically tailored to the needs of older people.
{"title":"A focus group study of older adults’ perceptions and preferences towards web-based physical activity interventions","authors":"Stephanie J. Alley, Pam Samra, A. Rebar, Stephanie Schoeppe, L. Parkinson, Deborah Power, J. van Uffelen, A. Schneiders, C. Vandelanotte","doi":"10.1080/17538157.2019.1656210","DOIUrl":"https://doi.org/10.1080/17538157.2019.1656210","url":null,"abstract":"ABSTRACT Objective: To explore older adults’ perceptions and preferences for web-based physical activity interventions. Participants: Adults 65+ years were recruited via telephoning randomly selected households in Central Queensland, Australia. Methods: Six focus groups were conducted with a total of 46 adults 65+ years. Data were analyzed by qualitative content analysis. Results: This group of older adults liked websites that have links to information and included instructional videos and disliked websites that were hard to navigate. Many participants did not express an initial interest in web-based physical activity programs. The most common reason was that they did not have a computer or adequate internet connection. Some participants said they would be interested if it included a structured exercise program. When asked about preferences for web-based physical activity programs, this group preferred them to be simple and not cluttered, to include personalized advice, to include reminder check-ins and the ability to review goals after illness or injury. The most common preference for personalized advice in web-based interventions was that the information needs to be tailored to their existing injuries and illnesses. Conclusion: The findings from this study will inform the design of future web-based interventions specifically tailored to the needs of older people.","PeriodicalId":440622,"journal":{"name":"Informatics for Health and Social Care","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133680659","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 : 2020-04-02DOI: 10.1080/17538157.2019.1625053
Jehad Imlawi, Dawn G. Gregg
ABSTRACT Participation of health-care professionals in online health communities is essential for these communities to achieve their goals of improving health outcomes. However, little research has been conducted to understand what motivates health-care providers to participate in such communities. This study utilizes the expectancy/value theory to identify the factors that might affect health professionals’ intentions to continue contributing health knowledge in online health communities (OHCs). Specific motivators driving health professionals’ continuance intentions in OHCs include intrinsic motivators (helping motivator, self-efficacy, and moral obligation), and extrinsic motivators (reputation). This study also investigates how health professionals’ satisfaction in the OHC mediates the relationship between the study motivators and the continuance intentions. The study also suggests that health professional characteristics have a moderating effect on continuance intentions. The study employed a sample of 234 health professionals who contribute to a well-regarded OHC in Jordan to test the theoretical model developed for this study. The findings suggest that helping motivator, self-efficacy motivator, and reputation motivator affect OHC members’ satisfaction. The helping motivator, reputation motivator, moral obligation motivator, and satisfaction affect OHC members’ contribution continuance intentions. Finally, the study finds that age, work experience, experience in the OHC, and the daily time spent in the OHC, moderate the relationship between the helping motivator and continuance intentions.
{"title":"Understanding the satisfaction and continuance intention of knowledge contribution by health professionals in online health communities","authors":"Jehad Imlawi, Dawn G. Gregg","doi":"10.1080/17538157.2019.1625053","DOIUrl":"https://doi.org/10.1080/17538157.2019.1625053","url":null,"abstract":"ABSTRACT Participation of health-care professionals in online health communities is essential for these communities to achieve their goals of improving health outcomes. However, little research has been conducted to understand what motivates health-care providers to participate in such communities. This study utilizes the expectancy/value theory to identify the factors that might affect health professionals’ intentions to continue contributing health knowledge in online health communities (OHCs). Specific motivators driving health professionals’ continuance intentions in OHCs include intrinsic motivators (helping motivator, self-efficacy, and moral obligation), and extrinsic motivators (reputation). This study also investigates how health professionals’ satisfaction in the OHC mediates the relationship between the study motivators and the continuance intentions. The study also suggests that health professional characteristics have a moderating effect on continuance intentions. The study employed a sample of 234 health professionals who contribute to a well-regarded OHC in Jordan to test the theoretical model developed for this study. The findings suggest that helping motivator, self-efficacy motivator, and reputation motivator affect OHC members’ satisfaction. The helping motivator, reputation motivator, moral obligation motivator, and satisfaction affect OHC members’ contribution continuance intentions. Finally, the study finds that age, work experience, experience in the OHC, and the daily time spent in the OHC, moderate the relationship between the helping motivator and continuance intentions.","PeriodicalId":440622,"journal":{"name":"Informatics for Health and Social Care","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125922385","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 : 2020-04-02DOI: 10.1080/17538157.2019.1656209
A. Goldfarb-Rumyantzev, Robert S Brown, N. Dong, G. Sandhu, Parag Vohra, S. Gautam
ABSTRACT We have previously proposed an approach using information collected from published reports to generate prediction models. The goal of this project was to validate this technique to develop and test various prediction models. A risk indicator (R) is calculated as a linear combination of the hazard ratios for the following predictors: age, male gender, diabetes, albuminuria, and either CKD, CVD or both. We developed a linear and two exponential expressions to predict the probability of the outcome of 2-year mortality and compared to actual outcome in the target dataset from NHANES. The risk indicator demonstrated good performance with area under ROC curve of 0.84. The linear and two exponential expressions generated similar predictions in the lower categories of risk indicator (R ≤ 6). However, in the groups with higher R value, the linear expression tends to predict lower, and the exponential expressions higher, probabilities than the observed outcome. A Combined model which averaged the linear and logistic expressions was shown to approximate the actual outcome data the best. A simple technique (named Woodpecker™) allows derivation functional prediction models and risk stratification tools from reports of clinical outcome studies and their application to new populations by using only summary statistics of the new population.
{"title":"Developing and testing models to predict mortality in the general population","authors":"A. Goldfarb-Rumyantzev, Robert S Brown, N. Dong, G. Sandhu, Parag Vohra, S. Gautam","doi":"10.1080/17538157.2019.1656209","DOIUrl":"https://doi.org/10.1080/17538157.2019.1656209","url":null,"abstract":"ABSTRACT We have previously proposed an approach using information collected from published reports to generate prediction models. The goal of this project was to validate this technique to develop and test various prediction models. A risk indicator (R) is calculated as a linear combination of the hazard ratios for the following predictors: age, male gender, diabetes, albuminuria, and either CKD, CVD or both. We developed a linear and two exponential expressions to predict the probability of the outcome of 2-year mortality and compared to actual outcome in the target dataset from NHANES. The risk indicator demonstrated good performance with area under ROC curve of 0.84. The linear and two exponential expressions generated similar predictions in the lower categories of risk indicator (R ≤ 6). However, in the groups with higher R value, the linear expression tends to predict lower, and the exponential expressions higher, probabilities than the observed outcome. A Combined model which averaged the linear and logistic expressions was shown to approximate the actual outcome data the best. A simple technique (named Woodpecker™) allows derivation functional prediction models and risk stratification tools from reports of clinical outcome studies and their application to new populations by using only summary statistics of the new population.","PeriodicalId":440622,"journal":{"name":"Informatics for Health and Social Care","volume":"82 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120885915","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 : 2019-11-19DOI: 10.1080/17538157.2019.1656208
Y. Koumpouros, A. Georgoulas
ABSTRACT Objective: This study provides a systematic review of EU-funded mHealth projects. Methods: The review was conducted based mainly on the Projects and Results service provided by the EU Open Data Portal. Even though the search strategy yielded a large number of results, only 45 projects finally met all the inclusion criteria. Results: The review results reveal useful information regarding mHealth solutions and trends that emerge nowadays in the EU, the diseases addressed, the level of adoption by users and providers, the technological approaches, the projects’ structure, and the overall impact. New areas of application, like behavioral intervention approaches as well as an apparent trend towards affective computing, big data, cloud computing, open standards and platforms have also been recognized and recorded. Core legal issues with regard to data security and privacy still pose challenges to mHealth projects, while commercialization of the developed solutions is slow. Interdisciplinary consortia with the participation of a significant number of SMEs and public healthcare organizations are also key factors for a successful project. Conclusion: The study provides researchers and decision-makers with a complete and systematically organized knowledge base in order to plan new mHealth initiatives.
{"title":"A systematic review of mHealth funded R&D activities in EU: Trends, technologies and obstacles","authors":"Y. Koumpouros, A. Georgoulas","doi":"10.1080/17538157.2019.1656208","DOIUrl":"https://doi.org/10.1080/17538157.2019.1656208","url":null,"abstract":"ABSTRACT Objective: This study provides a systematic review of EU-funded mHealth projects. Methods: The review was conducted based mainly on the Projects and Results service provided by the EU Open Data Portal. Even though the search strategy yielded a large number of results, only 45 projects finally met all the inclusion criteria. Results: The review results reveal useful information regarding mHealth solutions and trends that emerge nowadays in the EU, the diseases addressed, the level of adoption by users and providers, the technological approaches, the projects’ structure, and the overall impact. New areas of application, like behavioral intervention approaches as well as an apparent trend towards affective computing, big data, cloud computing, open standards and platforms have also been recognized and recorded. Core legal issues with regard to data security and privacy still pose challenges to mHealth projects, while commercialization of the developed solutions is slow. Interdisciplinary consortia with the participation of a significant number of SMEs and public healthcare organizations are also key factors for a successful project. Conclusion: The study provides researchers and decision-makers with a complete and systematically organized knowledge base in order to plan new mHealth initiatives.","PeriodicalId":440622,"journal":{"name":"Informatics for Health and Social Care","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128029492","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 : 2019-11-07DOI: 10.1080/17538157.2019.1656211
Dominique Giroux, C. Vallée, V. Provencher, Nathalie Delli Colli, V. Poulin, A. Giguere, Emmanuelle Careau, P. Durand, Maude Carignan
ABSTRACT An electronic tool, the Competency Assessment Tool (CAT), was developed in order to guide interdisciplinary teams through clinical competency assessment. Objectives: To support the implementation and perpetuation of the CAT, the objectives were: 1) document health and social service professionals’ needs in order to support the use of the CAT; 2) identify the facilitating factors and those hindering the implementation of the CAT in a healthcare establishment; 3) identify strategies favoring the use of the CAT. Participants: Health and social service professionals and doctors were recruited. Methods: A qualitative study was realized by conducting focus groups with health and social service professionals and individual interviews with doctors. Results: The results allowed us to bring to light the CAT’s advantages, the issues associated with its implementation (facilitators and obstacles) and the needs to support its use. A number of avenues of intervention were identified and could be put in place to encourage the use of the CAT. Conclusion: This study will support the implementation of the CAT and ultimately, this will allow for the assurance that the decisions taken on the need for protection of vulnerable individuals will be just, rigorous and the fruit of a concerted ethical reflection.
{"title":"A computerized and innovative tool to guide interdisciplinary assessment: Exploring the feasibility of the implementation of the Competency Assessment Tool (CAT)","authors":"Dominique Giroux, C. Vallée, V. Provencher, Nathalie Delli Colli, V. Poulin, A. Giguere, Emmanuelle Careau, P. Durand, Maude Carignan","doi":"10.1080/17538157.2019.1656211","DOIUrl":"https://doi.org/10.1080/17538157.2019.1656211","url":null,"abstract":"ABSTRACT An electronic tool, the Competency Assessment Tool (CAT), was developed in order to guide interdisciplinary teams through clinical competency assessment. Objectives: To support the implementation and perpetuation of the CAT, the objectives were: 1) document health and social service professionals’ needs in order to support the use of the CAT; 2) identify the facilitating factors and those hindering the implementation of the CAT in a healthcare establishment; 3) identify strategies favoring the use of the CAT. Participants: Health and social service professionals and doctors were recruited. Methods: A qualitative study was realized by conducting focus groups with health and social service professionals and individual interviews with doctors. Results: The results allowed us to bring to light the CAT’s advantages, the issues associated with its implementation (facilitators and obstacles) and the needs to support its use. A number of avenues of intervention were identified and could be put in place to encourage the use of the CAT. Conclusion: This study will support the implementation of the CAT and ultimately, this will allow for the assurance that the decisions taken on the need for protection of vulnerable individuals will be just, rigorous and the fruit of a concerted ethical reflection.","PeriodicalId":440622,"journal":{"name":"Informatics for Health and Social Care","volume":"211 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115642997","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 : 2019-11-07DOI: 10.1080/17538157.2019.1656212
M. Nuutinen, R. Leskelä, P. Torkki, E. Suojalehto, A. Tirronen, V. Komssi
ABSTRACT Objective In recent years research has identified important predictors for nursing home admission (NHA). However, as far as we know, the previous risk models use complex variable sets from many sources and the output is a single risk value. The objective of this study was to develop an NHA risk model with a variable set from single data source and richer output information. Methods In this study, we developed a model selecting variables only from the RAI-HC (Resident Assessment Instrument – Home Care) system. Furthermore, we used principal component analysis and K-means clustering to target proper interventions for high-risk clients. Results The performance of the model was close to the complex previous model (recall vs. and specificity vs. ). For the risk clients, three intervention clusters (deficiency in physical functionality, deficiency in cognitive functionality and depression and mood disorders) were found. Conclusion The NHA risk model and intervention clusters are important because they enable the identification of proper interventions for the right clients. The fact that the model with RAI-HC data alone was accurate enough simplifies the integration of the NHA risk model into practice because it uses data from one system and the algorithm can be integrated easily into the source system.
{"title":"Developing and validating models for predicting nursing home admission using only RAI-HC instrument data","authors":"M. Nuutinen, R. Leskelä, P. Torkki, E. Suojalehto, A. Tirronen, V. Komssi","doi":"10.1080/17538157.2019.1656212","DOIUrl":"https://doi.org/10.1080/17538157.2019.1656212","url":null,"abstract":"ABSTRACT Objective In recent years research has identified important predictors for nursing home admission (NHA). However, as far as we know, the previous risk models use complex variable sets from many sources and the output is a single risk value. The objective of this study was to develop an NHA risk model with a variable set from single data source and richer output information. Methods In this study, we developed a model selecting variables only from the RAI-HC (Resident Assessment Instrument – Home Care) system. Furthermore, we used principal component analysis and K-means clustering to target proper interventions for high-risk clients. Results The performance of the model was close to the complex previous model (recall vs. and specificity vs. ). For the risk clients, three intervention clusters (deficiency in physical functionality, deficiency in cognitive functionality and depression and mood disorders) were found. Conclusion The NHA risk model and intervention clusters are important because they enable the identification of proper interventions for the right clients. The fact that the model with RAI-HC data alone was accurate enough simplifies the integration of the NHA risk model into practice because it uses data from one system and the algorithm can be integrated easily into the source system.","PeriodicalId":440622,"journal":{"name":"Informatics for Health and Social Care","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116268189","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 : 2019-11-04DOI: 10.1080/17538157.2019.1656206
Katriina Anttila, M. Anttila, M. Välimäki
ABSTRACT The aim is to describe feedback from the adolescents on their use of a web-based depression support system. Web-based support systems can serve as an alternative to conventional treatment or to complement the current services. Mixed methods were used to approach the topic from multiple perspectives. Feedback was collected from adolescents with symptoms of depression or anxiety. Adolescents (n = 46) responded to a questionnaire after participating on the support system, and 24 adolescents did not provide feedback. The data were analyzed with quantitative descriptive statistics and qualitative thematic analysis. Out of 45 adolescents, 93% agreed that the web-based support system was targeted at them, and 89% felt it was reliable and safe. It was perceived as a good channel for reflecting thoughts. However, some adolescents felt it was difficult to use or that using it did not help them. Ideas for development were also offered. Depis.Net provided the adolescents with a reliable way to ease their condition at home. Using feedback from the adolescents on the support system makes it possible to identify those who are able to use this kind of system in daily practice.
{"title":"A web-based adolescent depression support system: feedback and implications for the future","authors":"Katriina Anttila, M. Anttila, M. Välimäki","doi":"10.1080/17538157.2019.1656206","DOIUrl":"https://doi.org/10.1080/17538157.2019.1656206","url":null,"abstract":"ABSTRACT The aim is to describe feedback from the adolescents on their use of a web-based depression support system. Web-based support systems can serve as an alternative to conventional treatment or to complement the current services. Mixed methods were used to approach the topic from multiple perspectives. Feedback was collected from adolescents with symptoms of depression or anxiety. Adolescents (n = 46) responded to a questionnaire after participating on the support system, and 24 adolescents did not provide feedback. The data were analyzed with quantitative descriptive statistics and qualitative thematic analysis. Out of 45 adolescents, 93% agreed that the web-based support system was targeted at them, and 89% felt it was reliable and safe. It was perceived as a good channel for reflecting thoughts. However, some adolescents felt it was difficult to use or that using it did not help them. Ideas for development were also offered. Depis.Net provided the adolescents with a reliable way to ease their condition at home. Using feedback from the adolescents on the support system makes it possible to identify those who are able to use this kind of system in daily practice.","PeriodicalId":440622,"journal":{"name":"Informatics for Health and Social Care","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130343524","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 : 2019-10-02DOI: 10.1080/17538157.2019.1656207
G. Han, D. Zhu, Nisha Kothari
ABSTRACT This study examines how key organizations and individuals use Twitter strategically to disseminate health messages, in terms of information, community, and action functions. A textual analysis was conducted through a synthesized analytical approach (typology of strategic tweets by classification of key users), comparing the tweets originated from media users versus non-media users. Findings suggest that key health communicators use Twitter either for spreading health information, building relationships, or encouraging people to perform health-related actions. Media users tweet more health information whereas non-media users tweet more to propose health-improving behavior. Implications of this analysis for health and social care are also discussed.
{"title":"Strategic use of Twitter as a source of health information: a pilot study with textual analysis of health tweets","authors":"G. Han, D. Zhu, Nisha Kothari","doi":"10.1080/17538157.2019.1656207","DOIUrl":"https://doi.org/10.1080/17538157.2019.1656207","url":null,"abstract":"ABSTRACT This study examines how key organizations and individuals use Twitter strategically to disseminate health messages, in terms of information, community, and action functions. A textual analysis was conducted through a synthesized analytical approach (typology of strategic tweets by classification of key users), comparing the tweets originated from media users versus non-media users. Findings suggest that key health communicators use Twitter either for spreading health information, building relationships, or encouraging people to perform health-related actions. Media users tweet more health information whereas non-media users tweet more to propose health-improving behavior. Implications of this analysis for health and social care are also discussed.","PeriodicalId":440622,"journal":{"name":"Informatics for Health and Social Care","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133091858","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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