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. 2023 Jan 12;15(1):e33724. doi: 10.7759/cureus.33724

Assessment of Understandability and Actionability of YouTube Videos on Hemolytic Disease of the Newborn

Iruvaram Sudhir Chaitanya Kumar 1, Anila Mani 1, TVN Sriranjitha 2, I Muni Srikanth 3,, KV Aswathy 4, Shesh Kumar Bhakta 1, Prudhvinath Reddy Annapureddy 5, Sarath Kumar Bojedla 6, Hari D Yellamilli 7, Cheranjeevi Jayam 8
Editors: Alexander Muacevic, John R Adler
PMCID: PMC9925041  PMID: 36793820

Abstract

Introduction

With revolutions in Information Technology, information and misinformation are easier to be found online. YouTube is the largest and most commonly searched video content website in the world. It is assumed that, due to the coronavirus pandemic, most patients try to know about diseases through the internet and reduce the number of hospital exposures unless otherwise. In order to assess the understandability and actionability of such YouTube videos available freely online about the disease, Hemolytic disease of the newborn (HDN), this study was planned.

Methods

This is a cross-sectional study conducted with the first 160 videos available on May 14, 2021, with the search keyword "HDN" with a relevance filter and a duration of 4 to 20 minutes. The videos were further screened regarding the information content and language. These videos were assessed by three independent assessors using the patient educational materials assessment tool for audio-visual content.

Results

Out of the first 160 videos selected for screening, 58 videos were excluded due to a lack of content about the searched disease "HDN". Another 63 videos were excluded due to the language of instruction not being in English. Finally, 39 videos were assessed by three assessors. The understandability and actionability responses were checked for reliability and a Cronbach's alpha of 93.6% was found, indicating good data reliability. To reduce subjectivity, average scores of understandability and actionability were taken based on the scores of these three assessors. There were eight and 34 videos with average understandability and actionability scores of <70% respectively. The median average understandability and actionability scores were 84.4% and 50% respectively. There was a statistically significant difference between understandability and actionability scores with considerably lower actionability scores of YouTube videos on the disease, HDN (p<0.001).

Conclusion

There is a great need to include actionable information by content developers in videos. Most information available has adequate understandable content making it easier for the general public to know about the diseases. YouTube and similar social sites thus possibly are helping in the dissemination of information promoting awareness among the public in general and patients in particular.

Keywords: hemolytic disease of the newborn, pemat score, patient education material, youtube videos, actionability, understandability

Introduction

With the advances in networking and faster speeds of communications, the internet has become the primary source of information for patients, patient groups, self-help groups, and educational and commercial stakeholders both to generate awareness as well as to help in terms of the next step to be taken by them in the course of disease management [1]. No author knowingly falsifies any information. However, sometimes, some of the information might not be true and may be perceived by the author to be accurate to the best of his knowledge. Sometimes the information may be correct but may be presented in a way that the reader or viewer may get a false notion due to the complexity of the presentation. Understanding health information and whether the information is accurate and actionable is an important task. Misinformation may decrease people’s quality of life and increase mortality risk [2].

One example of misinformation is a paper published on Measles, Mumps, and Rubella vaccination causing autism [3], refuted later by the scientific community [4], and the publication was eventually retracted. This incident was followed by evidence of multiple measles outbreaks locally [5,6] and the World Health Organization revoking the measles eradication status of four countries globally [7]. Whether the attributable cause is due to the negative impact of information socially is unknown. From this, it may be assumed that online information may have beneficial and harmful effects on the community.

Alloimmunization during pregnancy is a common occurrence that happens in about 1% of all pregnant women not receiving any intervention against the Rhesus (Rh) system alone causing Hemolytic disease of the newborn (HDN). The first known record of hydrops fetalis was by Hippocrates of a “fleshy fetus” with general “fetal dropsy” [8]. HDN is characterized by excessive hemolysis of fetal or neonatal red blood cells leading to fetal and/or neonatal anemia, jaundice, and/or erythroblastosis [9]. The common cause of the disease is the passive transfer of maternal alloantibodies through the placenta which may be directed against ABO antigens, Rh antigens, or other antigens present in the red cells [10,11]. Depending on the type of antibody and its specificity, the prognosis, severity, clinical manifestations, and treatment may vary [12].

This study has been planned to ascertain the usefulness of YouTube videos pertaining to HDN as patient education material in terms of understandability and actionability using the Patient Education Materials Assessment Tool-Audio/Visual (PEMAT-A/V) [13].

Materials and methods

This study was planned as a cross-sectional, observational, study. A sample size of 30 videos was considered sufficient to provide adequate statistical data; however, keeping in view the videos in multiple languages and the possible exclusion of videos a total of the first 160 videos were considered for initial screening.

The first 160 YouTube videos, which were shown when the search term "HDN" was used with specific search parameters on May 14, 2021, were included in the present study.

Videos with content different from HDN and languages other than English were excluded from the study.

YouTube search parameters

The YouTube website was searched using the term “HDN” from its inception to May 2021. The selected video search and filter settings were based on relevance and video length of between 4 to 20 minutes. The first 160 videos were added to a new playlist.

Video exclusion assessment

Three independent assessors have watched these videos for qualification into the study pertaining to content and language. Videos meeting exclusion criteria were excluded. The excluded videos were removed from the playlist by an independent reviewer after verification again.

Video assessment process and blinding protocol

Three different assessors reviewed the videos left in the playlist for understandability and actionability assessment based on the PEMAT-AV [13]. The assessors included one each from the medical, paramedical, and nursing professions to ensure that they had some baseline understanding of the disease. The assessors were trained independently to assess videos without bias, to think from a patient perspective without any knowledge about the disease, and to give score points for each of the 17 minor assessment categories in the survey form. All three assessors have been given code names as "A", "i", and "1" respectively, and confidentially. The principal investigator alone knows the code names of all the individuals. The questions of the PEMAT-AV have been incorporated into a google survey form and distributed to the individual assessors for use in the assessment of videos at independent locations in order to avoid bias. The final database thus obtained has been checked for the completion of the survey by the independent reviewer in order to eliminate bias. The final database then was used for statistical analysis by the principal investigator.

Assessment tool

Although there are many tools that describe various parameters of audio-visual materials, the investigators have selected the PEMAT-AV [13] in view of the required parameter’s understandability and actionability and in view of its complexity. To eliminate subjective bias, averages of the individual scores of assessors were taken for further statistical analysis.

Assessment criteria under PEMAT-AV

There are a total of 17 assessment parameters (questions); 13 and four for understandability and actionability respectively with further sub-parameters (Table 1).

Table 1. PEMAT-A/V assessment variables.

PEMAT = patient educational materials assessment tool; A/V = audiovisual material

S.No Nature Type Scoring variable
1 Understandability Content The material makes its purpose completely evident
2 Word Choice and Style The material uses common, everyday language
3 Medical terms are used only to familiarize the audience with the terms. When used, medical terms are defined
4 The material uses the active voice
5 Organization The material breaks or “chunks” information into short sections
6 The material’s sections have informative headers
7 The material presents information in a logical sequence
8 The material provides a summary
9 Layout and Design The material uses visual cues (e.g., arrows, boxes, bullets, bold, larger font, highlighting) to draw attention to key points
10 Text on the screen is easy to read (A/V)
11 The material allows the user to hear the words clearly
12 Use of Visual Aids The material uses illustrations and photographs that are clear and uncluttered
13 The material uses simple tables with short and clear row and column headings
14 Actionability Actionability The material clearly identifies at least one action the user can take
15 The material addresses the user directly when describing actions
16 The material breaks down any action into manageable, explicit steps
17 The material explains how to use charts, graphs, tables, or diagrams to take actions

Statistical analysis

The results of assessments of the individuals were recorded into an Excel sheet and were analyzed using Microsoft® Excel. Individual and average actionability and understandability scores were calculated. Descriptive statistics were performed using Microsoft® Excel. The reliability statistics were performed by calculating Cronbach’s Alpha in Microsoft Excel using the formula, α= Nc/[v+(N-1)c] where α is Cronbach's alpha, N is the number of items, v is the average variance, c is the average inter-item covariance among the items. The average scores of understandability and actionability were again compared using Wilcoxon signed rank test to identify any statistically significant difference in the mean scores of the two groups [14].

Results

Out of the first 160 videos screened, videos not having content on the HDN were found to be 58 in number and excluded with 102 videos left. Similarly, videos with audio language other than English were found to be 63 in number and were excluded. Thus, 39 videos qualified to be included in the study (Table 2).

Table 2. List of final videos assessed under the study.

HDN = Hemolytic disease of the newborn; HD = high definition; Rh = Rhesus; USMLE = United States Medical Licensing Examination

S.No Title of the video Running time Creator Year of upload
1 ABO and Rh Incompatibility of the Newborn, HDN, and Erythroblastosis Fetalis. Explained 04:27 Alan Gibson 2018
2 ABO Incompatibility And Hemolytic Disease Of The Newborn (HDN) 13.58 Medicosis Perfectionalis 2018
3 Ch. 19, pt. 8 - Hemolytic Disease 05:56 Human Anatomy, Histology and Physiology 2021
4 Ch14 Rh INCOMPATIBILITY | BLOOD PHYSIOLOGY 10:23 Dr Hardik Mistry 2018
5 Clinical Correlation: Hemolytic Disease of the Newborn 09:10 Anatomy and Physiology for Paramedics 2015
6 Erythroblastosis Fetalis 16:29 CanadaQBank 2015
7 Erythroblastosis Fetalis 06:16 Olivia Kaminski 2020
8 Erythroblastosis Fetalis 06:40 Natalya Machado 2020
9 Erythroblastosis Fetalis (Hemolytic Disease of the Newborn) 17:30 MyelinNation 2018
10 Erythroblastosis fetalis | effects of erythroblastosis on newborn | Rh incompatibility in pregnancy | 10:16 Medico Stuff 2020
11 Erythroblastosis fetalis | Rh Incompatibility 05:04 Hussain Biology 2018
12 Erythroblastosis Fetalis or Hemolytic Disease of the Newborn or Rh Incompatibility 11:15 Now I Know 2019
13 ERYTHROBLASTOSIS FETALIS #csirgateicmr 11:58 The 24 Life sciences 2019
14 Group 4: Hemolytic Disease of Newborn 06:59 NUR SYAFIKA BINTI RAMLEE 2021
15 Haemolytic disease of the new born (Erythroblastosis Featalis) part 2 06:28 Sindy’s Tales 2019
16 Haemolytic Disease of the Newborn (Rhesus System) - Medical Tutorial 11:26 TachyTutorials 2020
17 HDN: Hemolytic Disease of the Newborn 04:10 NaickerN 2011
18 Hemolytic anemia of newborns 11:17 Joe DeMasi 2017
19 Hemolytic Disease of New Born Part 2 (HD) 15:31 Rabiul Haque 2017
20 Hemolytic disease of new born part-I 12:08 tutan medical class 2018
21 Hemolytic Disease of Newborn 08:18 Dr Dipti Thakker Kariya Physiology lectures 2018
22 Hemolytic disease of the newborn 14.54 Dr. John Campbell 2015
23 Hemolytic Disease of the Newborn 08:19 Physiology & Anatomy Videos 2014
24 Hemolytic Disease of the Newborn EXPLAINED | Rh and ABO incompatibility 09:36 Quick Med 2021
25 Hemolytic Disease of the Newborn HDN 05:01 Biology-Jose Maldonado EPCC 2020
26 Hemolytic disease of the newborn -or- erythroblastosis fetalis 07:14 Ren Hartung 2016
27 Hemolytic Disease of the Newborn, Animation 04:11 Alila Medical Media 2019
28 Hemolytic Disease of the newborn/ Rh Factor. (Chapter 19) 06:21 The Old Grace Is Dead 2014
29 Newborn Hemolytic Diseases (Heme/Onc) - USMLE Step 1 09:17 MadMedicine 2019
30 Pathophysiology of Hemolytic Disease of the Newborn 12:29 Health Ed Solutions 2012
31 RH blood group. RH Factor and Erythroblastosis 06:51 Meerab Fatima 2020
32 Rh Incompatibility | NCLEX REVIEW 08:26 That nursing prof 2021
33 Rh Incompatibility || HDN || Erythroblastosis Foetalis || In ENGLISH, Dr. Roopam Jain 15:51 Dr. Roopam Lectures 2019
34 Rh incompatibility and Hemolytic disease of the newborn (HDN) 17.49 Medicosis Perfectionalis 2018
35 Rh Incompatibility I Hemolytic Disease of the Newborn I Swatilekha Das 07:29 Swatilekha Das Nursing Classes 2018
36 Rh Incompatibility: Hemolytic Disease of the Newborn (Erythroblastosis fetalis) (FL-Immuno/65) 12:25 Frank Lectures 2017
37 RH-INCOMPATIBILITY (ERYTHROBLASTOSIS FETALIS) 09:31 Nursing notes 2020
38 What is erythroblastosis fetalis? 04:28 Biology with Shraddha 2020
39 What is Erythroblastosis Foetalis? Rh Incompatibility 07:11 HAPPY MIND HAPPY YOU 2019

The Cronbach’s Alpha was assessed for reliability before further testing of data. We found it to be 0.8651 (86.51%) indicating reliable data. This was followed by individual scoring of videos.

The understandability and actionability scores of individual assessors for the videos using the PEMAT-A/V tool [13], ranged from 7.69% to 100% and 0% to 100% respectively. The median scores were 84.62% and 50% respectively for understandability and actionability respectively (Figure 1).

Figure 1. Understandability and actionability scores of individual assessors.

Figure 1

Avg = average

In order to reduce the subjective nature of individual assessors, the average understandability and actionability scores of three assessors were calculated for each video. These scores then ranged from 41.26% to 97.44% and 8.33% to 91.67% for understandability and actionability respectively (Figure 2). The median average of understandability and actionability scores were 84.4% and 50% respectively.

Figure 2. Average understandability and actionability scores of videos.

Figure 2

Avg = average

The average understandability and actionability scores of 39 videos were depicted in Figure 3. The Wilcoxon signed-rank test [14] was performed to assess the presence of any statistically significant difference between the average understandability and actionability scores of the videos with a significance level of 0.05 and a two-tailed hypothesis with a final W-value of six, Z-value of -5.3587 with a p-value of <0.00001.

Figure 3. Average understandability and actionability scores of videos.

Figure 3

HDN = Hemolytic disease of the newborn; HD = high definition; Rh = Rhesus

Discussion

The credibility of source health information is important and is affected by the expertise (user-generated information, patients, health professionals, pharmaceutical companies, etc.) and trustworthiness of the information provider (Media, Scientific articles, Government guidelines, etc.). Online information is available in eBooks, ePapers, eMagazines, online radio, online television channels, pharmaceutical advisers, direct online sources, search engines, and mobile apps. Google has become the world’s most visited site followed by YouTube and YouTube is the second most visited social media platform and the world's first website with audiovisual content [15,16].

With the ongoing Corona viral pandemic, people are increasingly turning towards online options for understanding disease and consultations. The apprehension and fear of the pandemic have made people panic about going to a hospital because of assumed increased exposure to possible patients. YouTube [17] is one of the commonest search engines employed. Assuming the same, it is likely that patients try to seek help with information about HDN and what to do next if diagnosed with it. More and more videos creep up on YouTube daily from multiple sources and appraisal of such online videos for quality and safety is of utmost importance. Leave alone the accuracy, usability, and quality, in some instances the understandability and actionability of the videos will be poor.

There are multiple tools available online with the advent of the internet, used to assess various parameters for printed online education materials like the suitability assessment of materials tool [18], and DISCERN instrument [19]. With the incorporation of audio and video content into patient education materials, extra parameters were to be assessed and one such tool is the Patient Education Materials Assessment Tool created by the Agency for Healthcare Regency and Quality to assess the understandability and actionability of printed and audio-visual patient education materials.

In the present study, though the understandability and actionability scores of individual assessors had extreme values, on averaging the individual scores, the subjective variations could be removed. In the average scores, none of the videos got scores of either 0% or 100% indicating that all three assessors did not have similar opinions especially in assessing the extreme score videos, and not even a single video could elicit a score of 0% or 100% by all the three assessors.

There was a statistically significant difference between the understandability and actionability scores reflecting poor actionability. This can also be seen from the presence of only eight videos with average understandability of <70% while 34 videos had average actionability scores of <70%.

There seems to be an evolution of content providers in terms of understandability and actionability as may be evidenced by the presence of lower scores in the older videos than in the newer videos and studies. There are no studies on the assessment of understandability and actionability of YouTube videos on HDN, however, there are many studies on other diseases/conditions like online cardiovascular disease risk calculators [20], type 2 diabetic risk calculators [21], diabetes mellitus [22], laryngectomy [23], clubfoot [24], chest pain in children [25], etc., including one more similar study by author on Hemophilia [26]. Most studies had similar good understandability scores, but poor actionability scores.

The limitations of the study include the utilization of only medium-length videos for understandability and actionability assessment.

Conclusions

To conclude, content developers are doing good service in providing essential information to the community but can further improve the understandability and actionability of YouTube videos of medium duration (4-20 minutes) on HDN to help patients get information. There is a scope for improvement in a video presentation to improve understandability as may be evidenced by the number of videos without relevant content found during the initial search. The video content should include more details on what to do next and where to go after diagnosis. More information may also be provided regarding disease modifiers and prevention strategies to give more actionable options for viewers.

The content published in Cureus is the result of clinical experience and/or research by independent individuals or organizations. Cureus is not responsible for the scientific accuracy or reliability of data or conclusions published herein. All content published within Cureus is intended only for educational, research and reference purposes. Additionally, articles published within Cureus should not be deemed a suitable substitute for the advice of a qualified health care professional. Do not disregard or avoid professional medical advice due to content published within Cureus.

The authors have declared that no competing interests exist.

Human Ethics

Consent was obtained or waived by all participants in this study

Animal Ethics

Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue.

References


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