Use of a Web-Based Application of the American College of Cardiology Foundation/American Society of Echocardiography Appropriateness Use Criteria for Transthoracic Echocardiography: A Pilot Study

2011 ◽  
Vol 24 (3) ◽  
pp. 271-276 ◽  
Author(s):  
Nicole M. Bhave ◽  
Ibrahim N. Mansour ◽  
Federico Veronesi ◽  
Rabia R. Razi ◽  
Roberto M. Lang ◽  
...  
Keyword(s):  
Pilot Study ◽  
Transthoracic Echocardiography ◽  
Web Based ◽  
American Society

The Penn State Heart Assistant: A pilot study of a web-based intervention to improve self-care of heart failure patients

2017 ◽  
Vol 25 (2) ◽  
pp. 292-303 ◽  
Author(s):  
Tom Lloyd ◽  
Harleah Buck ◽  
Andrew Foy ◽  
Sara Black ◽  
Antony Pinter ◽  
...  
Keyword(s):  
Heart Failure ◽  
Pilot Study ◽  
Self Care ◽  
Web Based ◽  
Heart Failure Patients ◽  
Penn State

Estimating visual difference between reproduction gamuts: moving our pilot study from the lab to online delivery

2021 ◽  
Vol 2021 (29) ◽  
pp. 317-322
Author(s):  
Gregory High ◽  
Peter Nussbaum ◽  
Phil Green
Keyword(s):  
Pilot Study ◽  
Magnitude Estimation ◽  
Web Based ◽  
Online Delivery ◽  
Visual Difference

Images reproduced for different output devices are known to be limited in the range of colours that can be reproduced. It is accepted that reproductions made with different print processes, and on different substrates, will not match, although the overall reproduction appearance can be optimized using an output rendering. However, the question remains: how different are they visually? This paper reports on a pilot study that tests whether visual difference can be reduced to a single dimensional scale using magnitude estimation. Subject to recent Covid restrictions, the experiment was moved from the lab to an online delivery. We compare the two methods of delivery: in-person under controlled viewing conditions, and online via a web-based interface where viewing conditions are unknown.

Association of Arm Position and Playing Time with Prevalence of Complaints of the Arm, Neck, and/or Shoulder (CANS) in Amateur Musicians: A Cross-Sectional Pilot Study Among University Students

2017 ◽  
Vol 32 (1) ◽  
pp. 8-12 ◽  
Author(s):  
Laura M Kok ◽  
Bionka MA Huisstede ◽  
Taco J Douglas ◽  
Rob GHH Nelissen
Keyword(s):  
Pilot Study ◽  
Musical Instrument ◽  
Left Shoulder ◽  
Additional Risk Factor ◽  
Musculoskeletal Complaints ◽  
Cross Sectional ◽  
Web Based ◽  
Arm Position ◽  
Amateur Musicians ◽  
Playing Time

OBJECTIVE: In addition to known risk factors for musculoskeletal complaints in the general population, playing a musical instrument is an additional risk factor. In this pilot study, the prevalence of musculoskeletal complaints in student amateur musicians and their relation with playing posture and playing time were evaluated. METHODS: A cross-sectional web-based survey among amateur musicians studying at a Dutch university. RESULTS: 162 amateur musicians were included in this pilot study (response rate 17.6%). 46.9% of these amateur musicians played with an elevated arm position. Presence of complaints of the arm, neck and/or shoulder (CANS) was not statistically significantly related to arm position, except for complaints in the left shoulder with an elevated left arm position compared to neutral left arm position (OR 6.7, CI 95% 2.2–20.8) The number of hours playing per week did not significantly contribute to CANS (OR 1.0, CI 95% 0.95–1.17). CONCLUSIONS: In this pilot study among student amateur musicians, the occurrence of CANS was not significantly related to arm position, except for musicians playing with an elevated left arm position, which was associated with complaints of the left shoulder (OR 6.7). The number of hours playing per week did not significantly contribute to CANS in this group of musicians.

scholarly journals A Web-Based Communication Platform to Improve Home Care Services in Norway (DigiHelse): Pilot Study (Preprint)

2019 ◽  
Author(s):  
Linn Nathalie Støme ◽  
Tron Moger ◽  
Kristian Kidholm ◽  
Kari J Kværner
Keyword(s):  
Pilot Study ◽  
Home Care ◽  
Rate Ratio ◽  
Care Service ◽  
Behavioral Data ◽  
Home Care Service ◽  
Early Assessment ◽  
Web Based ◽  
Digital Platform ◽  
One Year

BACKGROUND Home care service in Norway is struggling to meet the increasing demand for health care under restricted budget constraints, although one-fourth of municipal budgets are dedicated to health services. The integration of Web-based technology in at-home care is expected to enhance communication and patient involvement, increase efficiency and reduce cost. DigiHelse is a Web-based platform designed to reinforce home care service in Norway and is currently undergoing a development process to meet the predefined needs of the country’s municipalities. Some of the main features of the platform are digital messages between residents and the home care service, highlighting information on planned and completed visits, the opportunity to cancel visits, and notifications for completed visits. OBJECTIVE This study aimed to test the usability and economic feasibility of adopting DigiHelse in four districts in Oslo by applying registry and behavioral data collected throughout a one-year pilot study. Early health technology assessment was used to estimate the potential future value of DigiHelse, including the predictive value of behavior data. METHODS Outcome measures identified by stakeholder insights and scenario drafting in the project’s concept phase were used to assess potential socioeconomic benefits. Aggregated data were collected to assess changes in health consumption at baseline, and then 15 and 52 weeks after DigiHelse was implemented. The present value calculation was updated with data from four intervention groups and one control group. A quasi-experimental difference-in-difference design was applied to estimate the causal effect. Descriptive behavioral data from the digital platform was applied to assess the usability of the platform. RESULTS Over the total study period (52 weeks), rates increased for all outcome estimates: the number of visits (rate ratio=1.04; <italic>P</italic>=.10), unnecessary trips (rate ratio=1.37; <italic>P</italic>=.26), and phone calls (rate ratio=1.24; <italic>P</italic>=.08). A significant gap was found between the estimated value of DigiHelse in the concept phase and after the one-year pilot. In the present pilot assessment, costs are expected to exceed potential savings by €67 million (US $75 million) over ten years, as compared to the corresponding concept estimates of a potential gain of €172.6 million (US $193.6 million). Interestingly, behavioral data from the digital platform revealed that only 3.55% (121/3405) of recipients actively used the platform after one year. CONCLUSIONS Behavioral data provides a valuable source for assessing usability. In this pilot study, the low adoption rate may, at least in part, explain the inability of DigiHelse to perform as expected. This study points to an early assessment of behavioral data as an opportunity to identify inefficiencies and direct digital development. For DigiHelse, insight into why the recipients in Oslo have not made greater use of the Web-based platform seems to be the next step in ensuring the right improvement measures for the home care service.

scholarly journals A Web-Based Communication Platform to Improve Home Care Services in Norway (DigiHelse): Pilot Study

10.2196/14780 ◽  
2020 ◽  
Vol 4 (1) ◽  
pp. e14780
Author(s):  
Linn Nathalie Støme ◽  
Tron Moger ◽  
Kristian Kidholm ◽  
Kari J Kværner
Keyword(s):  
Pilot Study ◽  
Home Care ◽  
Rate Ratio ◽  
Care Service ◽  
Behavioral Data ◽  
Home Care Service ◽  
Early Assessment ◽  
Web Based ◽  
Digital Platform ◽  
One Year

Background Home care service in Norway is struggling to meet the increasing demand for health care under restricted budget constraints, although one-fourth of municipal budgets are dedicated to health services. The integration of Web-based technology in at-home care is expected to enhance communication and patient involvement, increase efficiency and reduce cost. DigiHelse is a Web-based platform designed to reinforce home care service in Norway and is currently undergoing a development process to meet the predefined needs of the country’s municipalities. Some of the main features of the platform are digital messages between residents and the home care service, highlighting information on planned and completed visits, the opportunity to cancel visits, and notifications for completed visits. Objective This study aimed to test the usability and economic feasibility of adopting DigiHelse in four districts in Oslo by applying registry and behavioral data collected throughout a one-year pilot study. Early health technology assessment was used to estimate the potential future value of DigiHelse, including the predictive value of behavior data. Methods Outcome measures identified by stakeholder insights and scenario drafting in the project’s concept phase were used to assess potential socioeconomic benefits. Aggregated data were collected to assess changes in health consumption at baseline, and then 15 and 52 weeks after DigiHelse was implemented. The present value calculation was updated with data from four intervention groups and one control group. A quasi-experimental difference-in-difference design was applied to estimate the causal effect. Descriptive behavioral data from the digital platform was applied to assess the usability of the platform. Results Over the total study period (52 weeks), rates increased for all outcome estimates: the number of visits (rate ratio=1.04; P=.10), unnecessary trips (rate ratio=1.37; P=.26), and phone calls (rate ratio=1.24; P=.08). A significant gap was found between the estimated value of DigiHelse in the concept phase and after the one-year pilot. In the present pilot assessment, costs are expected to exceed potential savings by €67 million (US $75 million) over ten years, as compared to the corresponding concept estimates of a potential gain of €172.6 million (US $193.6 million). Interestingly, behavioral data from the digital platform revealed that only 3.55% (121/3405) of recipients actively used the platform after one year. Conclusions Behavioral data provides a valuable source for assessing usability. In this pilot study, the low adoption rate may, at least in part, explain the inability of DigiHelse to perform as expected. This study points to an early assessment of behavioral data as an opportunity to identify inefficiencies and direct digital development. For DigiHelse, insight into why the recipients in Oslo have not made greater use of the Web-based platform seems to be the next step in ensuring the right improvement measures for the home care service.

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