Market Engineering for Electronic Health Services

Background Electronic health (eHealth) services may help people obtain information and manage their health, and they are gaining attention as technology improves, and as traditional health services are placed under increasing strain. We present findings from the first representative, large-scale, population-based study of eHealth use in Norway. Objective The objectives of this study were to examine the use of eHealth in a population above 40 years of age, the predictors of eHealth use, and the predictors of taking action following the use of these eHealth services. Methods Data were collected through a questionnaire given to participants in the seventh survey of the Tromsø Study (Tromsø 7). The study involved a representative sample of the Norwegian population aged above 40 years old. A subset of the more extensive questionnaire was explicitly related to eHealth use. Data were analyzed using logistic regression analyses. Results Approximately half (52.7%; 9752/18,497) of the respondents had used some form of eHealth services during the last year. About 58% (5624/9698) of the participants who had responded to a question about taking some type of action based on information gained from using eHealth services had done so. The variables of being a woman (OR 1.58; 95% CI 1.47-1.68), of younger age (40-49 year age group: OR 4.28, 95% CI 3.63-5.04), with a higher education (tertiary/long: OR 3.77, 95% CI 3.40-4.19), and a higher income (>1 million kr [US $100,000]: OR 2.19, 95% CI 1.77-2.70) all positively predicted the use of eHealth services. Not living with a spouse (OR 1.14, 95% CI 1.04-1.25), having seen a general practitioner (GP) in the last year (OR 1.66, 95% CI 1.53-1.80), and having had some disease (such as heart disease, cancer, asthma, etc; OR 1.29, 95% CI 1.18-1.41) also positively predicted eHealth use. Self-rated health status did not significantly influence eHealth use. Taking some action following eHealth use was predicted with the variables of being a woman (OR 1.16, 95% CI 1.07-1.27), being younger (40-49 year age group: OR 1.72, 95% CI 1.34-2.22), having a higher education (tertiary/long: OR 1.65, 95% CI 1.42-1.92), having seen a GP in the last year (OR 1.58, 95% CI 1.41-1.77), and having ever had a disease (such as heart disease, cancer or asthma; OR 1.26, 95% CI 1.14-1.39). Conclusions eHealth appears to be an essential supplement to traditional health services for those aged above 40 years old, and especially so for the more resourceful. Being a woman, being younger, having higher education, having had a disease, and having seen a GP in the last year all positively predicted using the internet to get health information and taking some action based on this information.

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Electronic health records in ambulances: the ERA multiple-methods study

Health Services and Delivery Research ◽

10.3310/hsdr08100 ◽

2020 ◽

Vol 8 (10) ◽

pp. 1-140

Author(s):

Alison Porter ◽

Anisha Badshah ◽

Sarah Black ◽

David Fitzpatrick ◽

Robert Harris-Mayes ◽

...

Keyword(s):

Emergency Department ◽

Health Services ◽

Electronic Health Records ◽

Case Studies ◽

Routine Data ◽

Health Economy ◽

Multiple Methods ◽

Health Records ◽

Electronic Health ◽

Future Work

Background Ambulance services have a vital role in the shift towards the delivery of health care outside hospitals, when this is better for patients, by offering alternatives to transfer to the emergency department. The introduction of information technology in ambulance services to electronically capture, interpret, store and transfer patient data can support out-of-hospital care. Objective We aimed to understand how electronic health records can be most effectively implemented in a pre-hospital context in order to support a safe and effective shift from acute to community-based care, and how their potential benefits can be maximised. Design and setting We carried out a study using multiple methods and with four work packages: (1) a rapid literature review; (2) a telephone survey of all 13 freestanding UK ambulance services; (3) detailed case studies examining electronic health record use through qualitative methods and analysis of routine data in four selected sites consisting of UK ambulance services and their associated health economies; and (4) a knowledge-sharing workshop. Results We found limited literature on electronic health records. Only half of the UK ambulance services had electronic health records in use at the time of data collection, with considerable variation in hardware and software and some reversion to use of paper records as services transitioned between systems. The case studies found that the ambulance services’ electronic health records were in a state of change. Not all patient contacts resulted in the generation of electronic health records. Ambulance clinicians were dealing with partial or unclear information, which may not fit comfortably with the electronic health records. Ambulance clinicians continued to use indirect data input approaches (such as first writing on a glove) even when using electronic health records. The primary function of electronic health records in all services seemed to be as a store for patient data. There was, as yet, limited evidence of electronic health records’ full potential being realised to transfer information, support decision-making or change patient care. Limitations Limitations included the difficulty of obtaining sets of matching routine data for analysis, difficulties of attributing any change in practice to electronic health records within a complex system and the rapidly changing environment, which means that some of our observations may no longer reflect reality. Conclusions Realising all the benefits of electronic health records requires engagement with other parts of the local health economy and dealing with variations between providers and the challenges of interoperability. Clinicians and data managers, and those working in different parts of the health economy, are likely to want very different things from a data set and need to be presented with only the information that they need. Future work There is scope for future work analysing ambulance service routine data sets, qualitative work to examine transfer of information at the emergency department and patients’ perspectives on record-keeping, and to develop and evaluate feedback to clinicians based on patient records. Study registration This study is registered as Health and Care Research Wales Clinical Research Portfolio 34166. Funding This project was funded by the National Institute for Health Research (NIHR) Health Services and Delivery Research programme and will be published in full in Health Services and Delivery Research; Vol. 8, No. 10. See the NIHR Journals Library website for further project information.

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Identifying the Adoption Process for Electronic Health Services: A Qualitative Study

Boundaryless Hospital ◽

10.1007/978-3-662-49012-9_15 ◽

2016 ◽

pp. 257-275

Author(s):

Isabel Ramtohul

Keyword(s):

Qualitative Study ◽

Health Services ◽

Adoption Process ◽

Electronic Health

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Electronic Health Services an Introduction to Theory and Application

Libyan Journal of Medicine ◽

10.4176/071117 ◽

2007 ◽

Vol 2 (4) ◽

pp. 202-210 ◽

Cited By ~ 3

Author(s):

MM Khalil ◽

R Jones

Keyword(s):

Health Services ◽

Electronic Health

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Electronic Health Use in a Representative Sample of 18,497 Respondents in Norway (The Seventh Tromsø Study - Part 1): Population-Based Questionnaire Study (Preprint)

10.2196/preprints.13106 ◽

2018 ◽

Author(s):

Rolf Wynn ◽

Sunday Oluwafemi Oyeyemi ◽

Andrius Budrionis ◽

Luis Marco-Ruiz ◽

Kassaye Yitbarek Yigzaw ◽

...

Keyword(s):

Higher Education ◽

Heart Disease ◽

Health Services ◽

Representative Sample ◽

Large Scale ◽

Population Based ◽

Age Group ◽

Traditional Health ◽

Ehealth Services ◽

Electronic Health

BACKGROUND Electronic health (eHealth) services may help people obtain information and manage their health, and they are gaining attention as technology improves, and as traditional health services are placed under increasing strain. We present findings from the first representative, large-scale, population-based study of eHealth use in Norway. OBJECTIVE The objectives of this study were to examine the use of eHealth in a population above 40 years of age, the predictors of eHealth use, and the predictors of taking action following the use of these eHealth services. METHODS Data were collected through a questionnaire given to participants in the seventh survey of the Tromsø Study (Tromsø 7). The study involved a representative sample of the Norwegian population aged above 40 years old. A subset of the more extensive questionnaire was explicitly related to eHealth use. Data were analyzed using logistic regression analyses. RESULTS Approximately half (52.7%; 9752/18,497) of the respondents had used some form of eHealth services during the last year. About 58% (5624/9698) of the participants who had responded to a question about taking some type of action based on information gained from using eHealth services had done so. The variables of being a woman (OR 1.58; 95% CI 1.47-1.68), of younger age (40-49 year age group: OR 4.28, 95% CI 3.63-5.04), with a higher education (tertiary/long: OR 3.77, 95% CI 3.40-4.19), and a higher income (>1 million kr [US $100,000]: OR 2.19, 95% CI 1.77-2.70) all positively predicted the use of eHealth services. Not living with a spouse (OR 1.14, 95% CI 1.04-1.25), having seen a general practitioner (GP) in the last year (OR 1.66, 95% CI 1.53-1.80), and having had some disease (such as heart disease, cancer, asthma, etc; OR 1.29, 95% CI 1.18-1.41) also positively predicted eHealth use. Self-rated health status did not significantly influence eHealth use. Taking some action following eHealth use was predicted with the variables of being a woman (OR 1.16, 95% CI 1.07-1.27), being younger (40-49 year age group: OR 1.72, 95% CI 1.34-2.22), having a higher education (tertiary/long: OR 1.65, 95% CI 1.42-1.92), having seen a GP in the last year (OR 1.58, 95% CI 1.41-1.77), and having ever had a disease (such as heart disease, cancer or asthma; OR 1.26, 95% CI 1.14-1.39). CONCLUSIONS eHealth appears to be an essential supplement to traditional health services for those aged above 40 years old, and especially so for the more resourceful. Being a woman, being younger, having higher education, having had a disease, and having seen a GP in the last year all positively predicted using the internet to get health information and taking some action based on this information.

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DO GERMAN PHYSICIANS WANT ELECTRONIC HEALTH SERVICES? - A Characterization of Potential Adopters and Rejecters in German Ambulatory Care

Proceedings of the Third International Conference on Health Informatics ◽

10.5220/0002695602020209 ◽

2010 ◽

Keyword(s):

Health Services ◽

Ambulatory Care ◽

Electronic Health

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ADHD as a Risk Factor for Infection With Covid-19

Journal of Attention Disorders ◽

10.1177/1087054720943271 ◽

2020 ◽

pp. 108705472094327 ◽

Cited By ~ 4

Author(s):

Eugene Merzon ◽

Iris Manor ◽

Ann Rotem ◽

Tzipporah Schneider ◽

Shlomo Vinker ◽

...

Keyword(s):

Risk Factor ◽

Health Services ◽

Electronic Health Records ◽

Drug Treatment ◽

Test Data ◽

Adhd Medication ◽

Treatment Results ◽

Health Records ◽

Study Population ◽

Electronic Health

Background: ADHD limits the ability to comply with Covid-19 prevention recommendations. We hypothesized that ADHD constitutes a risk factor for Covid-19 infection and that pharmacotherapy may lower that risk. Methods: Study population included all subjects ( N = 14,022) registered with Leumit Health Services between February 1st and April 30, 2020, who underwent at least one Covid-19 test. Data were collected from the electronic health records. Purchasing consecutively at least three ADHD-medication-prescriptions during past year was considered drug-treatment. Results: A total of 1,416 (10.1%) subjects (aged 2 months–103 years) were Covid-19-positive.They were significantly younger, and had higher rates of ADHD (adjOR 1.58 (95% CI 1.27–1.96, p < .001) than Covid-19-negative subjects. The risk for Covid-19-Positive was higher in untreated-ADHD subjects compared to non-ADHD subjects [crudeOR 1.61 (95% CI 1.36–1.89, p < .001)], while no higher risk was detected in treated ones [crudeOR 1.07 (95% CI 0.78–1.48, p = .65)]. Conclusion: Untreated ADHD seems to constitute a risk factor for Covid-19 infection while drug-treatment ameliorates this effect.

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Research on Problems and Countermeasures of Health Records in Community Health Services in Tai'an City

Computer and Information Science ◽

10.5539/cis.v9n2p19 ◽

2016 ◽

Vol 9 (2) ◽

pp. 19

Author(s):

Xu Tingting ◽

Ma Cunhong ◽

Shang Yulian

Keyword(s):

Health Services ◽

Electronic Health Records ◽

Community Health ◽

Community Health Center ◽

Medical Personnel ◽

Community Health Services ◽

Health Examination ◽

Font Size ◽

Health Records ◽

Electronic Health

<p><span style="font-size: 10.5pt; font-family: 'Times New Roman','serif'; mso-bidi-font-size: 12.0pt; mso-fareast-font-family: 宋体; mso-font-kerning: 1.0pt; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;" lang="EN-US">Objective: To standardize and improve the management of health records in community health services in Tai’an city, also to improve community health service level, and enhance residents' awareness of health. Method: taking the residents within the service range of TaiQian Community Health Center in Taian city and the relevant medical staff as research respondent, 120 questionnaires have been sent out to the residents and 15 questionnaires to the staff, then statistical analysis would be made according to the survey results. Results: at current, there are two main ways to establish personal health records, i.e. residents health examination and community personnel pay visit, which are effective; community residents seldom use their personal records, only 93.5% for once a year; 35% of community doctor hold the opinion that the health records have no big value, so there is no need to read, reflecting that the community medical personnel lack of the awareness of use it; the security and completeness of electronic health records are poor. Conclusion: Government should play a leading role in establishing and managing the community health record, improve awareness of community medical personnel in using health records through training, seminars, On-line advertising and other forms, and strengthen and improve the comprehensive management of electronic health records.</span></p>

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