Exploring the optimal duration of video recording in a post-discharge eLearning platform for cardiac patients

Borut Kirn

doi:10.12688/f1000research.19087.1

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Research Article

Exploring the optimal duration of video recording in a post-discharge eLearning platform for cardiac patients

[version 1; peer review: 1 approved, 1 approved with reservations]

Borut Kirn ^1,2

PUBLISHED 21 May 2019

Author details Author details

¹ Medical Faculty, University of Ljubljana, Ljubljana, 1000, Slovenia
² PRIMARIUS C.I., Ljubljana, 1000, Slovenia

Borut Kirn
Roles: Conceptualization, Data Curation, Formal Analysis, Investigation, Methodology, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing

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Abstract

Background: On a post-discharge eLearning platform for patients with coronary artery disease, videos are used as the main educational media. Medical content takes a long time to be thoroughly explained, frequently exceeding the viewer’s attention span. To find the optimal duration for such an educational video, we studied the retention of video watching.
Methods: In this study, 135 (88% male; age 62±9 years) patients with coronary artery disease actively used eLearning platform which included 60 video recordings with duration ranging from 21 sec to 303 sec. The videos were divided into two groups based on their duration (short < 100 sec and long > 100 sec). From the platform usage metadata, an average video retention rate was obtained as a ratio of video viewing time and total video duration for videos watched six times or more. Independent t-tests for mean values and f-test for variance were used to compare the groups.
Results: In total, 35 (18 short and 17 long) videos were included in the study and were viewed (mean ± SD) 22 ± 11 times. The mean duration of short videos was: 80 sec ± 14 sec and of long videos it was: 160 sec ± 51 sec. The retention rate in the short and long group was 0.99 ± 0.05 and 0.94 ± 0.19 respectively. Average values were not significantly different (P = 0.33), but variances were (P < 0.05).
Conclusions: This study shows that the effective attention span for a video recording of this kind, based on an eLearning set-up and local population, is up to 100 sec. Videos shorter than 100sec are mostly watched fully without a break. In contrast, longer videos are often rewound, and parts watched again or not watched to the full length at all.

Keywords

e-Learning, cardiac rehabilitation, coronary disease, video, tele-medicine

Corresponding author: Borut Kirn

Competing interests: No competing interests were disclosed.

Grant information: The author(s) declared that no grants were involved in supporting this work.

Copyright: © 2019 Kirn B. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to cite: Kirn B. Exploring the optimal duration of video recording in a post-discharge eLearning platform for cardiac patients [version 1; peer review: 1 approved, 1 approved with reservations]. F1000Research 2019, 8:705 (https://doi.org/10.12688/f1000research.19087.1) First published: 21 May 2019, 8:705 (https://doi.org/10.12688/f1000research.19087.1) Latest published: 21 May 2019, 8:705 (https://doi.org/10.12688/f1000research.19087.1)

Introduction

One issue surrounding recovery at home is poor utilization of instructions given to patients after being discharged from a clinic. It has been shown that patients and their families often experience information overload while at the clinic and often forget or misinterpret up to 85% of the instructions received^1,2.

To solve this problem, eLearning has been put forward as a novel mode of delivering instructions to patients^3–6. In eLearning, reliable medically and scientifically sound videos are used to educate patients and their informal caregivers about the etiology, pathophysiology and treatment of their medical condition, doing so by addressing the following questions: “What has happened?”, “What can you do by yourself?” and “Who can help you?”. Video “lectures” given by doctors, nurses, physiotherapists, psychologists and dietitians are recorded and edited into topic-related modules. In addition, peer patients share best recovery practice and experiences. Selected videos are complemented by simple texts, a short quiz or illustrations.

Most educational information is conveyed to the patients and their informal caregivers in video format. Therefore, it is crucial that the design of these recordings is thought through and executed carefully. The video recordings are obtained in raw format from interviews and are then post-processed to concisely deliver the required medical content. Deciding the duration of the video recording presents a challenge. If a video is long enough to fully explain the complex medical condition, there is a risk that the patient skips the video or stops watching midway, given that the usage of eLearning platforms is based solely on personal motivation. The optimal video duration to fulfil both requirements, to fully convey the medical content while retaining viewer attention, however, is not known. The purpose of this study was to investigate the impact of video duration on cardiac patients’ viewing behavior.

Methods

Study background

Within the scope of a large randomized clinical study⁷ conducted in Jessa Hospital, Hasselt, Belgium and in collaboration with Primarius platform developers ClinicalTrials.gov registration number NCT02475967. Ethical approval was given by the Ethical Committee of Jessa Hospital, Hasselt, Belgium (approval number 15.82/CARDIO15.11) and all included patients provided written informed consent. The metadata provided by Viidea video streaming provider were analyzed. The analysis included 135 patients with coronary artery disease (88% male; age, 62±9 years) which actively used the provided post-discharge eLearning platform. Upon discharge, patients received a one-month access to a secure eLearning platform via a voucher containing anonymous personal login codes with which the contents were accessed, this way also assuring anonymity of the patients with respect to metadata acquisition. The patients used the eLearning platform at home and without supervision.

The content of the platform was composed of 20 topics, containing information about what has happened, what they can do by themselves and who can help them, presented from three perspectives—those of the clinician, patient and informal caregiver. Each topic contained three videos. In total there were 60 video recordings with duration ranging from 25 to 300 sec (Figure 1).

Figure 1. Duration of each of all 60 recorded videos.

Videos

The videos were divided into two groups based on their duration. The short group included videos with duration <100 sec and the long group included videos with duration >100 sec. The video retention rate was defined as the ratio between video viewing time and total video duration. In addition, videos were divided into group featuring doctors and videos featuring peer-patients. Only videos that were watched six times or more were included in the analysis.

Statistical analysis

Independent t-tests for mean values and f-test for variance were used (Microsoft Excel 2016) to compare retention rates between the short videos and long videos groups. The differences in retention rate between the videos featuring doctors and videos featuring peer-patients were also determined.

Results

Characteristics of videos watched

Out of 60 available videos 35 were watched six times or more and were thus included in the analysis. They were viewed on average 22 ± 11 times (Figure 2). Of the analyzed videos, 22 featured peer-patients and the rest (13 videos) featured (para-) medical professionals. With respect to their duration, 18 videos were classified as short, with an average duration of 80 sec ± 14 sec, and 17 were classified as long, with an average duration of 160 sec ± 51 sec (Figure 2). Individual results for each video are available as Underlying data⁸.

Figure 2. Number of views with respect to video duration for videos included in the study.

The videos with duration from 54 sec to those up to and including 99 sec were part of the short video group and videos with duration of 100 sec to 303 sec were part of the long videos group. The short videos group was composed of 12 videos featuring peer-patients and 6 videos featuring (para-) medical professionals. They were viewed from 8 to 56 times.

Retention rates

In Figure 3 the retention rate of video watching is shown for each video with respect to its duration. A clear difference in the spread of retention rate is visible around the video duration length of 100 sec. The videos shorter than 100 sec have retention rate around 100%, ranging from 107% for shorter videos (60 sec) and decreasing towards 88% as videos duration increases towards 100 sec. The videos longer than 100 sec have a wide range of retention rates, ranging from 60% to 133% without any clear trend. The average retention rate of the short and long videos group was 0.99 ± 0.05 and 0.94 ± 0.19, respectively. Mean values were not significantly different (P = 0.33), but variances were significantly different (P < 0.05).

Figure 3. Retention rate of watching video recordings as a function of video duration.

Note that retention rate for videos that are shorter than 100 sec is around 100% and slowly decreases as duration is increased up to and over 100 sec, while the retention rate for longer videos (duration > 100sec) shows much larger variation. Large variation is a result of premature ending of a video watching and rewinding with repeated watching.

The timeline of meta data acquired from watching 4 different types of videos is shown in Figure 4. We found no significant difference (P=0.7) when comparing the retention of watching videos featuring patients (0.97 ± 0.14) to those featuring (para-)medical caregivers (0.95 ± 0.12).

Figure 4.

Meta data acquired from watching 4 different types of videos: short featuring doctor (A), long featuring doctor (B), short featuring patient (C) and long featuring patient (D). The legend label “present” shows watching the video in one go (dark green), “watching” shows cumulative amount of watching including replaying (red), and “replaying” indicates the amount of replaying the video (light green).

Discussion

This study showed that videos which are shorter than 100 seconds are typically watched by patients without pause, while the videos longer than 100 seconds either stopped watching prematurely or frequently rewound and watched again. This finding is further supported by a clearly expressed negative slope of retention rate within the short video group. As expected, the longer the videos in this group the lower the retention rate. The study included 35 video recordings out 60 available to the patients which indicates that some topics are not as interesting for the patients as it was anticipated. Out of the 35 analyzed videos, two-thirds were featuring peer-patients and one-third the (para-)medical professionals. This difference shows the large interest of patients in peer-patient experiences, at least at the initial decision level, when deciding whether to watch the video or not.

The duration of the video is undoubtedly linked to the attractiveness of the content, the explanation provided by the featured interviewee and on the difficulty of the topic being discussed.

The main result of this study should be an increase in the awareness in the eLearning content creator community that videos as a main means of conveying information and educating should be carefully designed, because the natural attention span of most patients is up to 100 seconds.

Data availability

Underlying data

Figshare: Exploring the optimal duration of video recording in a post-discharge e-learning platform for cardiac patients. https://doi.org/10.6084/m9.figshare.8115866⁸.

This project contains a spreadsheet featuring raw data on video watching and retention in CSV format.

Underlying data are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication).

Extended data

The videos used in this study can be accessed free of charge for research purpose on the eLearning platform for a limited duration. Please contact the author (borut.kirn@mf.uni-lj.si) to receive access codes to this material.

Grant information

The author(s) declared that no grants were involved in supporting this work.

The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Faculty Opinions recommended

References

1. Kessels RP: Patients' memory for medical information. J R Soc Med. 2003; 96(5): 219–222. PubMed Abstract | Free Full Text
2. Koelling TM, Johnson ML, Cody RJ: Discharge education improves clinical outcomes in patients with chronic heart failure. Circulation. 2005; 111(2): 179–185. PubMed Abstract | Publisher Full Text
3. Bartlett EE: Cost-benefit analysis of patient education. Patient Educ Couns. 1995; 26(1–3): 87–91. PubMed Abstract | Publisher Full Text
4. Hibbard JH, Greene J: What the evidence shows about patient activation: better health outcomes and care experiences; fewer data on costs. Health Aff (Millwood). 2013; 32(2): 207–214. PubMed Abstract | Publisher Full Text
5. Fontaine G, Cossette S, Heppell S, et al.: Evaluation of a Web-Based E-Learning Platform for Brief Motivational Interviewing by Nurses in Cardiovascular Care: A Pilot Study. J Med Internet Res. 2016; 18(8): e224. PubMed Abstract | Publisher Full Text | Free Full Text
6. Yu DS, Thompson DR, Lee DT: Disease management programmes for older people with heart failure: crucial characteristics which improve post-discharge outcomes. Eur Heart J. 2006; 27(5): 596–612. PubMed Abstract | Publisher Full Text
7. Frederix I, Vandenberk T, Janssen L, et al.: eEduHeart I: a multi-center randomized, controlled trial investigating the usage of a post-discharge eLearning platform for cardiac patients. Third European Congress on eCardiology and eHealth in 2016.
8. Kirn B: Exploring the optimal duration of video recording in a post-discharge e-learning platform for cardiac patients. figshare. Dataset. 2019. http://www.doi.org/10.6084/m9.figshare.8115866.v1

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Version 1

VERSION 1 PUBLISHED 21 May 2019

Author details Author details

¹ Medical Faculty, University of Ljubljana, Ljubljana, 1000, Slovenia
² PRIMARIUS C.I., Ljubljana, 1000, Slovenia

Borut Kirn
Roles: Conceptualization, Data Curation, Formal Analysis, Investigation, Methodology, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing

Competing interests

No competing interests were disclosed.

Grant information

The author(s) declared that no grants were involved in supporting this work.

Article Versions (1)

version 1

Published: 21 May 2019, 8:705

https://doi.org/10.12688/f1000research.19087.1

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© 2019 Kirn B. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Kirn B. Exploring the optimal duration of video recording in a post-discharge eLearning platform for cardiac patients [version 1; peer review: 1 approved, 1 approved with reservations] F1000Research 2019, 8:705 (https://doi.org/10.12688/f1000research.19087.1)

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Key to Reviewer Statuses VIEW HIDE

ApprovedThe paper is scientifically sound in its current form and only minor, if any, improvements are suggested

Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.

Not approvedFundamental flaws in the paper seriously undermine the findings and conclusions

Version 1

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PUBLISHED 21 May 2019

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Reviewer Report 13 Aug 2020

Horesh Dor-Haim, O2 Health Center, The Hebrew University of Jerusalem, Jerusalem, Israel

Approved with Reservations

https://doi.org/10.5256/f1000research.20917.r67714

This study explores the optimal duration of video recording in a post-discharge eLearning platform for cardiac patients. The purpose of the study is important in order to understand the attention span of patients, providing digital educational media for secondary prevention ... Continue reading

This study explores the optimal duration of video recording in a post-discharge eLearning platform for cardiac patients. The purpose of the study is important in order to understand the attention span of patients, providing digital educational media for secondary prevention of CVD. The scope of the study and the aim is very simple and limited to test patients' retention. The videos were divided into two groups based on their duration. The short group included videos with duration <100 sec and the long group included videos with duration >100 sec. The video retention rate was defined as the ratio between video viewing time and total video duration.
Results showed mean values were not significantly different in retention rate, however, the variance was higher in the long video clip group.

The aim and the study are clear, however, the methodology and results analysis are not as so. Increase in retention rate is the primary goal and the null hypothesis, however, it's not demonstrated in the results. Please consolidate the means to show increased retention. If variance in retention is the primary end point, please clarify it or other methods to test video retention.
Statistical analysis should be reconsidered, using more than two groups with 100 sec cut off (e.g. short/intermediate/long).
Fig 4 is not clear. Provide more data about the procedures in the methods.
The authors' conclusion is that videos shorter than 100sec are mostly watched fully without a break. In contrast, longer videos are often rewound, and parts watched again or not watched to the full length at all. Please provide relevant data such as number of brakes and relays.

The study end point and conclusion, exploring the optimal duration of video would be much more solid if authors would have provided a pre/post questioner to test patients' understanding and knowledge.

Is the work clearly and accurately presented and does it cite the current literature?

Yes
Is the study design appropriate and is the work technically sound?

Partly
Are sufficient details of methods and analysis provided to allow replication by others?

No
If applicable, is the statistical analysis and its interpretation appropriate?

Partly
Are all the source data underlying the results available to ensure full reproducibility?

Partly
Are the conclusions drawn adequately supported by the results?

No

Competing Interests: No competing interests were disclosed.

Reviewer Expertise: Cardivascular medicine, exercise physilogy and digital health technology

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.

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Reviewer Report 21 Oct 2019

Drago Rudel, Director and R&D project manager, MKS Electronic Systems Ltd., Ljubljana, Slovenia

Approved

https://doi.org/10.5256/f1000research.20917.r48885

Background: On a post-discharge eLearning platform for patients with coronary artery disease, videos are used as the main educational media. Medical content takes a long time to be thoroughly explained, frequently exceeding the viewer’s attention span. To find the optimal ... Continue reading

Background: On a post-discharge eLearning platform for patients with coronary artery disease, videos are used as the main educational media. Medical content takes a long time to be thoroughly explained, frequently exceeding the viewer’s attention span. To find the optimal duration for such an educational video, we studied the retention of video watching.

Comment: The background clearly highlights the addressed challenge.

Methods: In this study, 135 (88% male; age 62±9 years) patients with coronary artery disease actively used eLearning platform which included 60 video recordings with duration ranging from 21 sec to 303 sec. The videos were divided into two groups based on their duration (short < 100 sec and long > 100 sec). From the platform usage metadata, an average video retention rate was obtained as a ratio of video viewing time and total video duration for videos watched six times or more. Independent t-tests for mean values and f-test for variance were used to compare the groups.

Comment: The methodology is clearly set and appropriate for the type of research.

Results: In total, 35 (18 short and 17 long) videos were included in the study and were viewed (mean ± SD) 22 ± 11 times. The mean duration of short videos was: 80 sec ± 14 sec and of long videos it was: 160 sec ± 51 sec. The retention rate in the short and long group was 0.99 ± 0.05 and 0.94 ± 0.19 respectively. Average values were not significantly different (P = 0.33), but variances were (P < 0.05).

Comment: The results are clear and derive from the implemented methodology.

Conclusions: This study shows that the effective attention span for a video recording of this kind, based on an eLearning set-up and local population, is up to 100 sec. Videos shorter than 100sec are mostly watched fully without a break. In contrast, longer videos are often rewound, and parts watched again or not watched to the full length at all.

Comment: The conclusion is relevant to the findings.

General comments:
The purpose of this study was to investigate the impact of educational video duration on cardiac patients’ viewing behaviour. The paper is novel in addressing the optimal video recording duration used at educational eLeraning platforms. Its conclusion is simple and clear: the videos used by patients in different therapies should be less than 1 minute long in duration. It is encouraging that a scientific approach is used to assess efficiency and effectiveness of the novel ICT based tools that will be broadly used in the near future for therapeutic purposes in different areas of medicine.

Technical corrections needed:
The first sentence in the Methods is not clear (Study background »Within the scope of a large randomized clinical study….«). Consider revision.

Is the work clearly and accurately presented and does it cite the current literature?

Yes
Is the study design appropriate and is the work technically sound?

Yes
Are sufficient details of methods and analysis provided to allow replication by others?

Yes
If applicable, is the statistical analysis and its interpretation appropriate?

I cannot comment. A qualified statistician is required.
Are all the source data underlying the results available to ensure full reproducibility?

Yes
Are the conclusions drawn adequately supported by the results?

Yes

Competing Interests: No competing interests were disclosed.

Reviewer Expertise: Teehealth and telerehabilitation services

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

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Version 1

VERSION 1 PUBLISHED 21 May 2019

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Version 1 21 May 19	read	read

Drago Rudel, MKS Electronic Systems Ltd., Ljubljana, Slovenia
Horesh Dor-Haim, The Hebrew University of Jerusalem, Jerusalem, Israel

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Reviewer Report

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13 Aug 2020 | for Version 1

Horesh Dor-Haim, O2 Health Center, The Hebrew University of Jerusalem, Jerusalem, Israel

2 Views Cite this report Responses(0)

Approved With Reservations

This study explores the optimal duration of video recording in a post-discharge eLearning platform for cardiac patients. The purpose of the study is important in order to understand the attention span of patients, providing digital educational media for secondary prevention of CVD. The scope of the study and the aim is very simple and limited to test patients' retention. The videos were divided into two groups based on their duration. The short group included videos with duration <100 sec and the long group included videos with duration >100 sec. The video retention rate was defined as the ratio between video viewing time and total video duration.
Results showed mean values were not significantly different in retention rate, however, the variance was higher in the long video clip group.

The aim and the study are clear, however, the methodology and results analysis are not as so. Increase in retention rate is the primary goal and the null hypothesis, however, it's not demonstrated in the results. Please consolidate the means to show increased retention. If variance in retention is the primary end point, please clarify it or other methods to test video retention.
Statistical analysis should be reconsidered, using more than two groups with 100 sec cut off (e.g. short/intermediate/long).
Fig 4 is not clear. Provide more data about the procedures in the methods.
The authors' conclusion is that videos shorter than 100sec are mostly watched fully without a break. In contrast, longer videos are often rewound, and parts watched again or not watched to the full length at all. Please provide relevant data such as number of brakes and relays.

The study end point and conclusion, exploring the optimal duration of video would be much more solid if authors would have provided a pre/post questioner to test patients' understanding and knowledge.

Is the work clearly and accurately presented and does it cite the current literature?

Yes
Is the study design appropriate and is the work technically sound?

Partly
Are sufficient details of methods and analysis provided to allow replication by others?

No
If applicable, is the statistical analysis and its interpretation appropriate?

Partly
Are all the source data underlying the results available to ensure full reproducibility?

Partly
Are the conclusions drawn adequately supported by the results?

No

Competing Interests

No competing interests were disclosed.

Reviewer Expertise

Cardivascular medicine, exercise physilogy and digital health technology

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.

Respond to this report

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Back to all reports

Reviewer Report

2 Views

21 Oct 2019 | for Version 1

Drago Rudel, Director and R&D project manager, MKS Electronic Systems Ltd., Ljubljana, Slovenia

2 Views Cite this report Responses(0)

Approved

Background: On a post-discharge eLearning platform for patients with coronary artery disease, videos are used as the main educational media. Medical content takes a long time to be thoroughly explained, frequently exceeding the viewer’s attention span. To find the optimal duration for such an educational video, we studied the retention of video watching.

Comment: The background clearly highlights the addressed challenge.

Methods: In this study, 135 (88% male; age 62±9 years) patients with coronary artery disease actively used eLearning platform which included 60 video recordings with duration ranging from 21 sec to 303 sec. The videos were divided into two groups based on their duration (short < 100 sec and long > 100 sec). From the platform usage metadata, an average video retention rate was obtained as a ratio of video viewing time and total video duration for videos watched six times or more. Independent t-tests for mean values and f-test for variance were used to compare the groups.

Comment: The methodology is clearly set and appropriate for the type of research.

Results: In total, 35 (18 short and 17 long) videos were included in the study and were viewed (mean ± SD) 22 ± 11 times. The mean duration of short videos was: 80 sec ± 14 sec and of long videos it was: 160 sec ± 51 sec. The retention rate in the short and long group was 0.99 ± 0.05 and 0.94 ± 0.19 respectively. Average values were not significantly different (P = 0.33), but variances were (P < 0.05).

Comment: The results are clear and derive from the implemented methodology.

Conclusions: This study shows that the effective attention span for a video recording of this kind, based on an eLearning set-up and local population, is up to 100 sec. Videos shorter than 100sec are mostly watched fully without a break. In contrast, longer videos are often rewound, and parts watched again or not watched to the full length at all.

Comment: The conclusion is relevant to the findings.

General comments:
The purpose of this study was to investigate the impact of educational video duration on cardiac patients’ viewing behaviour. The paper is novel in addressing the optimal video recording duration used at educational eLeraning platforms. Its conclusion is simple and clear: the videos used by patients in different therapies should be less than 1 minute long in duration. It is encouraging that a scientific approach is used to assess efficiency and effectiveness of the novel ICT based tools that will be broadly used in the near future for therapeutic purposes in different areas of medicine.

Technical corrections needed:
The first sentence in the Methods is not clear (Study background »Within the scope of a large randomized clinical study….«). Consider revision.

Is the work clearly and accurately presented and does it cite the current literature?

Yes
Is the study design appropriate and is the work technically sound?

Yes
Are sufficient details of methods and analysis provided to allow replication by others?

Yes
If applicable, is the statistical analysis and its interpretation appropriate?

I cannot comment. A qualified statistician is required.
Are all the source data underlying the results available to ensure full reproducibility?

Yes
Are the conclusions drawn adequately supported by the results?

Yes

Competing Interests

No competing interests were disclosed.

Reviewer Expertise

Teehealth and telerehabilitation services

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

Respond to this report

Responses (0)

[1] 1. Kessels RP: Patients' memory for medical information. J R Soc Med. 2003; 96(5): 219–222. PubMed Abstract | Free Full Text

[2] 2. Koelling TM, Johnson ML, Cody RJ: Discharge education improves clinical outcomes in patients with chronic heart failure. Circulation. 2005; 111(2): 179–185. PubMed Abstract | Publisher Full Text

[3] 3. Bartlett EE: Cost-benefit analysis of patient education. Patient Educ Couns. 1995; 26(1–3): 87–91. PubMed Abstract | Publisher Full Text

[4] 4. Hibbard JH, Greene J: What the evidence shows about patient activation: better health outcomes and care experiences; fewer data on costs. Health Aff (Millwood). 2013; 32(2): 207–214. PubMed Abstract | Publisher Full Text

[5] 5. Fontaine G, Cossette S, Heppell S, et al.: Evaluation of a Web-Based E-Learning Platform for Brief Motivational Interviewing by Nurses in Cardiovascular Care: A Pilot Study. J Med Internet Res. 2016; 18(8): e224. PubMed Abstract | Publisher Full Text | Free Full Text

[6] 6. Yu DS, Thompson DR, Lee DT: Disease management programmes for older people with heart failure: crucial characteristics which improve post-discharge outcomes. Eur Heart J. 2006; 27(5): 596–612. PubMed Abstract | Publisher Full Text

[7] 7. Frederix I, Vandenberk T, Janssen L, et al.: eEduHeart I: a multi-center randomized, controlled trial investigating the usage of a post-discharge eLearning platform for cardiac patients. Third European Congress on eCardiology and eHealth in 2016.

[8] 8. Kirn B: Exploring the optimal duration of video recording in a post-discharge e-learning platform for cardiac patients. figshare. Dataset. 2019. http://www.doi.org/10.6084/m9.figshare.8115866.v1

Exploring the optimal duration of video recording in a post-discharge eLearning platform for cardiac patients

Abstract

Keywords

Introduction

Methods

Study background

Figure 1. Duration of each of all 60 recorded videos.

Videos

Statistical analysis

Results

Characteristics of videos watched

Figure 2. Number of views with respect to video duration for videos included in the study.

Retention rates

Figure 3. Retention rate of watching video recordings as a function of video duration.

Figure 4.

Discussion

Data availability

Underlying data

Extended data

Grant information

References

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