This paper is in the following e-collection/theme issue:

Quality/Credibility of eHealth Information and Trust Issues (531) Obstetrics, Gynecology, and Reproductive Medicine (225) Information Quality in Digital Media (340)

Published on in Vol 20, No 5 (2018): May

“It’s Totally Okay to Be Sad, but Never Lose Hope”: Content Analysis of Infertility-Related Videos on YouTube in Relation to Viewer Preferences

“It’s Totally Okay to Be Sad, but Never Lose Hope”: Content Analysis of Infertility-Related Videos on YouTube in Relation to Viewer Preferences

“It’s Totally Okay to Be Sad, but Never Lose Hope”: Content Analysis of Infertility-Related Videos on YouTube in Relation to Viewer Preferences

Authors of this article:

Margot Kelly-Hedrick1 Author Orcid Image ;   Paul H Grunberg2 Author Orcid Image ;   Felicia Brochu3 Author Orcid Image ;   Phyllis Zelkowitz1, 3, 4 Author Orcid Image
Article Authors Cited by (28) Tweetations (12) Metrics

    Original Paper

    1Department of Psychiatry, Jewish General Hospital, Montreal, QC, Canada

    2Department of Psychology, McGill University, Montreal, QC, Canada

    3Department of Psychiatry, McGill University, Montreal, QC, Canada

    4Lady Davis Institute for Medical Research, Montreal, QC, Canada

    Corresponding Author:

    Phyllis Zelkowitz, EdD

    Jewish General Hospital

    Department of Psychiatry

    4333 Cote Ste. Catherine

    Montreal, QC, H3T 1E4

    Canada

    Phone: 1 514 340 8222 ext 25258

    Fax:1 514 340 8124

    Email: phyllis.zelkowitz@mcgill.ca


    Background: Infertility patients frequently use the internet to find fertility-related information and support from people in similar circumstances. YouTube is increasingly used as a source of health-related information and may influence health decision making. There have been no studies examining the content of infertility-related videos on YouTube.

    Objective: The purpose of this study was to (1) describe the content of highly viewed videos on YouTube related to infertility and (2) identify video characteristics that relate to viewer preference.

    Methods: Using the search term “infertility,” the 80 top-viewed YouTube videos and their viewing statistics (eg, views, likes, and comments) were collected. Videos that were non-English, unrelated to infertility, or had age restrictions were excluded. Content analysis was used to examine videos, employing a coding rubric that measured the presence or absence of video codes related to purpose, tone, and demographic and fertility characteristics (eg, sex, parity, stage of fertility treatment).

    Results: A total of 59 videos, with a median of 156,103 views, met the inclusion criteria and were categorized into 35 personal videos (35/59, 59%) and 24 informational-educational videos (24/59, 41%). Personal videos did not differ significantly from informational-educational videos on number of views, dislikes, subscriptions driven, or shares. However, personal videos had significantly more likes (P<.001) and comments (P<.001) than informational-educational videos. The purposes of the videos were treatment outcomes (33/59, 56%), sharing information (30/59, 51%), emotional aspects of infertility (20/59, 34%), and advice to others (6/59, 10%). The tones of the videos were positive (26/59, 44%), neutral (25/59, 42%), and mixed (8/59, 14%); there were no videos with negative tone. No videos contained only male posters. Videos with a positive tone did not differ from neutral videos in number of views, dislikes, subscriptions driven, or shares; however, positive videos had significantly more likes (P<.001) and comments (P<.001) than neutral videos. A majority (21/35, 60%) of posters of personal videos shared a pregnancy announcement.

    Conclusions: YouTube is a source of both technical and personal experience-based information about infertility. However, videos that include personal experiences may elicit greater viewer engagement. Positive videos and stories of treatment success may provide hope to viewers but could also create and perpetuate unrealistic expectations about the success rates of fertility treatment.

    J Med Internet Res 2018;20(5):e10199

    doi:10.2196/10199

    Keywords

    infertility; internet; YouTube; social media; online health information 


    Up to 1 in 6 Canadian couples may experience infertility [1], defined as the failure to achieve conception following at least 12 months of unprotected intercourse [2]. Prevalence rates are similar or higher in the United States and European countries, with estimates ranging from 10% to 28% [3-7]. The diagnosis and treatment of infertility may have adverse effects on psychological well-being and quality of life [8-10].

    More than 85% of infertility patients search for Web-based infertility-related content [11-13]. They report using the Web to find experience-based information; to learn about others going through similar treatment [14]; and to gain emotional support, reduce isolation, and seek normalcy [15]. The internet is an increasingly common source of health-related information, with 72% of internet users using the Web for health information [16].

    Social media allows internet users to connect with others online, facilitating communication and social support regarding health conditions [17]. YouTube is one such social media website that allows users to share video content and engage in discussion. YouTube is the most popular website for video sharing and the second most accessed website with over 1 billion users, reaching a global and diverse audience [18,19]. YouTube is a source of experience-based information on health topics [20,21] and the use of YouTube for social support relating to health topics has been found to relate to higher levels of health care–related empowerment and information engagement [22]. Therefore, examining the content of popular health-related videos on YouTube is of interest. Several studies have examined how YouTube videos characterize chronic health conditions, such as epilepsy [23], Alzheimer's disease [24], and chronic obstructive pulmonary disease [25]. These studies have evaluated level of viewership, discussion, and reliability of information presented in videos on YouTube [23,25,26]. There has not yet been an examination of infertility content on YouTube. As such, this is the first study to assess highly viewed infertility videos on YouTube to document their tone, purpose, and characteristics of posters and fertility-related variables, using content analysis. The coding scheme was based on other studies examining health-related content on YouTube [23,25-28]. The study aimed to (1) describe the video content of the most highly viewed videos and (2) identify video characteristics that relate to viewer favorability (eg, video likes, shares). Doing so may provide a richer understanding of people’s infertility experiences and purpose for posting infertility information on the internet. Indications of viewers’ responses to videos, such as likes and dislikes, may give an indication of viewer preference.


    Ethical Considerations

    YouTube meets the criteria for a public online database as it is free, publicly accessible without requiring registration, and has a large membership size [18,29]. Consistent with past research [29,30], our institutional ethics board deemed ethics approval unnecessary as content relevant to this study was in the public domain. YouTube was accessed without a registered account to ensure accessed videos were publicly available and had no age restrictions.

    Coding Rubric Development

    The coding rubric for the video analysis was initially developed through a deductive approach. Specifically, we reviewed studies that used content analysis to examine health-related YouTube topics [23,25-28]. Videos were coded as either personal, where the primary focus is on sharing experiences, or informational-educational, where the focus is to provide information. Other variables included (1) tone (positive, negative, neutral, or mixed), (2) purpose(s) of video (sharing information, emotional aspects of infertility, treatment outcomes, and advice to others), (3) whether the video has live people present (character video) or absent (noncharacter video), and (4) source of video, which indicates the type of YouTube channel that posted the video (personal account, organization’s channel, news channel, or other type of channel). Before viewing videos, the coding team generated categories hypothesized to be relevant to infertility-related videos, such as the stage of fertility treatment of the poster(s) and parity of the poster(s). Two coders tested the rubric using 7 sets of 3 to 5 videos with low view counts. Over the course of this testing period, the codebook was modified until variables were refined and explicitly defined. Through an inductive process, new variables such as the code “pregnancy announcement” were added if agreed upon by both coders during the training process. Training videos were not included in the final dataset. The training period ended when the 2 coders reached agreement for all codes and code definitions (see Table 1 for codebook). Certain variables (purpose of video, type of informational video, and subtones in videos) were not mutually exclusive, and therefore codes could sum to more than 100%. Video statistics were collected for all videos in the sample. These included number of views, likes, dislikes, comments, date video was posted, transcript (generated by YouTube), subscriptions driven (number of people who subscribed to the channel following viewing of video), number of shares, length of video, number of subscribers to channel, account creation date, and total channel views (sum of views for all videos posted by user). YouTube channels are profiles for users to post their videos and share information about themselves and their videos.

    Table 1. Codebook variable definitions and inter-rater reliability for 2 coders assessed by Cohen kappa.
    Variable definitionsKappaa
    Variables coded for all video types

    		Type of video1.00


    		Personal: Primary focus on sharing experiences, stories, or emotions


    		Informational-educational: Primary focus is to provide information

    		Character and noncharacter videos1.00


    		Character: Contains 1 or more live people


    		Noncharacter: Contains no live people in video (eg, animation or slideshow of photos)

    		Purpose for posting


    		Sharing information: Information, facts, details and descriptions of infertility conditions, causes, and treatments. May include information that poster finds online, in books, or by reading scientific papers1.00

    		Emotional aspects of infertility: Discussion of the emotional aspects of infertility process, diagnosis and/or treatment (ie, how individual or couple feels, processing of emotions).71

    		Treatment outcomes: Discussion of treatment outcome(s). May include infertility treatment experiences (ie, reporting positive or negative treatment results)1.00

    		Advice to others: Individual or couple in video is giving advice to others; advocating for a treatment, decision, or action.75

    		Source of video.63


    		Personal account: An individual’s (or couple’s) channel


    		Organization’s channel: An institute, organized group, or company’s channel


    		News channel: A news source’s channel


    		Other: Type of channel is unclear or does not fit other categories

    		Source: Type of organization.77


    		Drug company: Channel belongs to a drug or pharmaceutical company


    		Doctor or clinic: Channel belongs to a medical clinic or a doctor


    		Academic institution: Channel belongs to a university, medical school, or other education-promoting channel


    		Other: Channel belongs to organization, but does not fit into another category

    		Tone of video1.00


    		Positive: More than 50% of video tone is positive, indicated by the dominance of 1 or more of the positive subtones (see below)


    		Negative: More than 50% of the video tone is negative, indicated by the dominance of 1 or more of the negative subtones (see below)


    		Neutral: Absence of overarching positive or negative tones


    		Mixed: The video tone is approximately 50% positive and 50% negative

    		Positive subtones in video


    		Hope: Overall sentiment that their future holds improvements or success, even in the face of current adversities.69

    		Encouraging: Reassurance and hope toward viewers/others; offers statements of inspiration, comfort, and/or hope.85

    		Humorous: Humor or jokes when talking about their treatment or throughout the video.83

    		Joyful: Laughing, excited comments, and joyous exclamations.83

    		Grateful: Thankfulness, gratitude, or feeling blessed for life/situation.84

    		Negative subtones in video


    		Anger or frustration: Anger or frustration toward self, others, or situation—b

    		Sadness: Sorrow evidenced by verbal statements and/or frowning, crying, downcast expression—b

    		Hopelessness: An overall sentiment that things will not get better—b

    		Thanking viewers


    		Thanking viewers for providing support or participation on YouTube (ie, subscriptions, comments)1.00
    Variables coded for informational-educational videos only

    		Type of informational-educational video


    		Infertility causes or detection: Causes, signs, or detection of infertility.88

    		Medical procedures: How a medical procedure works (eg, in vitro fertilization) or how a lab technique works (eg, measuring sperm motility).89

    		Lifestyle: Lifestyle choices (ie, diet, exercise, sleep)1.00

    		Psychological: Mental health factors relating to infertility.63
    Variables coded for personal videos only

    		Relationship of individual(s) in video.87


    		Romantic or unspecified: Explicitly states being in a relationship, but marital status not specified


    		Engaged: States being engaged


    		Married: States being married


    		Single: States being single


    		Missing: Does not explicitly state relationship or unclear

    		Relationship type.86


    		Male and female, female and female, male and male, male only (ie, single male), female only (ie, single female), or unclear from video if individuals in video are partnered

    		Sex of people in video1.00


    		Going through treatment together and in video: Male and female, female and female, male and male, male only (ie, single), female only (ie, single), or unclear from video

    		Parity.88


    		Number of children explicated stated

    		Stage of fertility treatment1.00


    		Pretreatment: Have not started any fertility drugs or treatment


    		Undergoing treatment: Currently undergoing treatment, procedures, or taking medications


    		Pregnancy: Currently pregnant


    		Pregnancy failure: Failed round of treatment and no pregnancy


    		Postchildbirth: Child has been born


    		Posttreatment: Treatment completed and waiting on results

    		Round of treatment1.00


    		First round of treatment: Started or undergone first round


    		Multiple rounds of treatment: Started or undergone more than 1 round

    		Live pregnancy results1.00


    		Pregnancy results disclosed to spouse, friends, or family in video

    a2 coders, n=14 training videos.

    bCodes for at least 1 coder were a constant; therefore, we were unable to calculate the kappa statistic.

    Sample

    In January 2017, the most-viewed infertility YouTube videos were identified using the search term “infertility” on YouTube on Google Chrome browser with the search history and cookies cleared [31]. We chose the term “infertility” to capture the most common, basic query a patient would be likely to search, as people generally use keywords and condition names when searching for health information online [32]. This search produced approximately 314,000 results. Videos were sorted by view count and the 80 most-viewed videos were selected for analysis. Previous research suggests over 90% of users click on results in the first 3 pages of a search [33]; therefore, we elected to include the first 4 pages of results to ensure selection of popular infertility videos most likely to be encountered (20 results per page). Data for each video were collected and stored in Microsoft Excel. When variable information was not provided for a video (eg, number of shares), it was coded as missing. The URL and title of video were saved as a reference during data analysis.

    ‎
    Figure 1. Diagram of selection process of YouTube videos for inclusion in sample.
    View this figure

    Videos were excluded from the sample if they were non-English (n= 16), unrelated to infertility (n= 3), or had age-restricted access (n=2). This produced a final dataset of 59 videos. Refer to Figure 1 for an inclusion flowchart.

    Approximately 20% of the final dataset (14/59, 24%) was independently coded by 2 coders (MKH and FB) to examine inter-rater reliability. Cohen kappa was used to evaluate inter-rater reliability (see Table 1 for kappa coefficients). Kappa coefficients ranged from .638 (substantial agreement) to 1.00 (near perfect agreement), reflecting satisfactory or excellent inter-rater reliability for health-related research [34]. All analysis was performed using SPSS Statistics 23 software (IMB Analytics). Median value and inter-quartile range were used for most video statistics to provide a measure of central tendency, which tends to be less influenced by skewed data. A similar approach has been used in previous research of health-related topics on YouTube [35-37].


    Classification of Videos

    The total sample of 59 videos ranged from 50 seconds to 40 min in length (mean 6.6 min, SD 7.10 min). Videos were collectively viewed almost 23 million times (median=156,103 views). Videos received more likes (median=525 likes) than dislikes (median=25.5 dislikes), with a median of 55 comments per video. Only 35 videos indicated number of shares, with a median of 105 shares per video (see Table 2 for video popularity statistics).

    Videos were classified into 4 channel categories—personal accounts (23/59, 39%), organizations’ channels (20/59, 34%), news channels (2/59, 3%), and accounts that could not be classified (eg, due to lack of information on channel; 14/59, 24%). The channels had a median of almost 6000 subscribers.

    Table 2. Median and interquartile range of video popularity measures in total video sample (n=59).
    Video StatisticnaMedianInterquartile range
    Views59156103.0230000.0
    Likes58525.01892.2
    Dislikes5825.547.5
    Comments5755.0354.5
    Shares35105.0201.0
    Subscribers595992.0189273.0

    an varies as video statistics were not available for all videos.

    The majority of videos had people in them (character videos, 48/59, 81%), whereas 19% had animation or photos (noncharacter videos, 11/59). More than half of the videos discussed treatment outcomes (33/59, 56%) and half shared information (30/59, 51%). About one-third of videos discussed emotional aspects of infertility (20/59, 34%) and 10% offered advice to others (6/59). The sample contained more personal (35/59, 59%) than informational-educational (24/59, 41%) videos. The characteristics of these 2 categories of videos are discussed below and are summarized in Table 3 (personal videos) and Table 4 (informational-educational videos).

    Table 3. Frequency and proportion of codes for personal videos (n=35).
    Variablen (%)
    Purpose for postinga

    		Treatment outcomes33 (94)

    		Emotional aspects18 (51)

    		Sharing information6 (17)

    		Advice to others4 (11)
    Overall tone

    		Positive26 (74)

    		Mixed8 (23)

    		Neutral1 (3)
    Source of video

    		Personal account23 (66)

    		Organization1 (3)

    		Other9 (26)

    		News source2 (6)
    Sex of Poster(s)

    		Female12 (34)

    		Male-female couple12 (34)

    		More than 2 individuals in video10 (29)

    		Relationship unclear1 (3)
    Relationship type

    		Heterosexual34 (97)

    		Unspecified1 (3)
    Relationship status

    		Married18 (51)

    		Unspecified16 (46)

    		Unclear1 (3)
    Parity

    		No children9 (26)

    		One child6 (17)

    		More than 1 child3 (9)

    		Number of children not stated17 (48)
    Round of treatment

    		Unspecified21 (60)

    		Multiple rounds13 (37)

    		First round1 (3)

    aVideos could be coded for more than 1 purpose.

    Table 4. Frequency and proportion of codes for informational-educational videos (n=24).
    Variablen (%)
    Purpose for postinga

    		Sharing information24 (100)

    		Emotional aspects2 (8)

    		Advice to others2 (8)
    Type of informational videoa

    		Infertility causes or detection16 (67)

    		Medical procedures14 (58)

    		Lifestyle7 (29)

    		Psychological6 (25)
    Overall tone

    		Neutral24 (100)
    Source of video

    		Organization19 (79)


    		Doctor/clinic9 (38)


    		Other organization9 (38)


    		Academic institute1 (4)

    		Other9 (47)

    aVideos could be coded for more than 1 purpose for posting and more than 1 type of informational video.

    Personal Videos

    Characteristics of Posters

    More than two-thirds of personal videos contained a female (12/35, 34%) or male-female couple (12/35, 34%); none of the videos contained only a male. In all but 1 video, the individual or couple was coded as being in a heterosexual relationship (34/35, 97%). Approximately half of all personal videos included couples who were married (18/35, 51%) and nearly half did not specify their relationship status (16/35, 46%). Similarly, parity was stated in about half of the videos—9 videos (9/35, 26%) reported no children, 6 videos (6/35, 17%) reported 1 child, and 3 videos (3/35, 9%) reported more than 1 child.

    Only one-fifth of personal videos mentioned a specific infertility diagnosis, which included polycystic ovary syndrome and low sperm motility (7/35, 20%). Type of infertility treatment was mentioned in about half of personal videos (18/35, 51%), and included both medical (eg, ovulation medication, intrauterine insemination, in vitro fertilization, surgery) and nonmedical treatments (eg, diet, supplements, exercise, psychological treatment, alternative medicine). In almost two-thirds of personal videos (22/35, 63%), the poster was at the pregnancy stage of treatment and the remainder were in pretreatment (1/35, 3%), undergoing treatment (3/35, 9%), posttreatment (2/35, 6%), postchildbirth (6/35, 17%), or not specified (2/35, 6%). One-third of posters disclosed they had undergone multiple rounds of treatment (13/35, 37%), whereas only 1 mentioned it was their first round (1/35, 3%).

    Purpose

    A total of 33 of the personal videos (33/35, 94%) coded as “treatment outcomes” disclosed the outcome of a diagnosis, test, or treatment. For example, 1 woman filmed herself watching her pregnancy test turn positive and exclaimed:

    My heart is racing, okay, let’s see. [looks at stick] Oh my god. Oh my god. It’s positive...so it’s positive.

    Of these 33 videos, 21 (21/33, 64%) were pregnancy announcements that included live results of tests or sharing the results with their spouse, friends, or family.

    Videos discussing how the poster felt during treatment were coded as “emotional aspects of infertility” (18/35, 51%). One woman detailed her emotional responses to the successes and failures of treatment:

    I was on ovulation medication for several months and each month was an emotional rollercoaster of hoping we’d get pregnant and not being pregnant. Until finally, one month, we were pregnant...we were just so happy...unfortunately, two weeks after...I miscarried the baby. And it was such a sadness, my heart was broken. I remember crying and the pain and the fear and the emptiness and heartache.

    In some cases, videos discussing emotional aspects of infertility mentioned interactions with those not struggling with infertility. One couple, reflecting on their past infertility experiences, shared:

    Whatever the situation, it is okay to be sad, but it’s also important to be happy for others. And that was sometimes very...hard for me.

    Similarly, some videos discussed the anxiety related to waiting for test results or preparing for treatment. One woman made a video the day she was preparing to undergo a hysterosalpingogram test and stated:

    I have been having extreme bouts of anxiety and I’m...really nervous...I’m like freaking out...the anticipation kills you, you know.

    Videos were coded as “sharing information” if they included information provided by doctors or from online research (6/35, 17%). One individual discussed raising awareness about infertility:

    I want to be the person to tell you guys, that from a young age, we’re taught how to prevent pregnancy and how to not get pregnant for a very long time until we’re successful and have a job and have graduated college...what our parents and teachers and doctors aren’t telling us, is when you get to a certain age, it is close to impossible to have a baby without fertility treatments and IVF.

    Finally, 4 personal videos (4/35, 11%) were coded as ‘advice to others,’ reflecting recommendations or advice to viewers about concrete actions or decisions they should make regarding infertility. This advice was often based on personal experience. For example, 1 woman talking about her journey to get pregnant at age 40, suggested lifestyle changes to her viewers:

    I really recommend that you do the basal body temperature chart...by eating vegetables and fruits and drinking plenty of water and eliminating caffeine and alcohol, you’re putting yourself into a more pH balanced state.
    Tone

    Of the 35 personal videos, the dominant tones were: positive (26/35, 74%), mixed (8/35, 23%), and neutral (1/35, 3%). No videos were coded as having a negative tone.

    Videos with a positive tone were coded for the presence of 5 positive subtones—joy (25/26, 96%), hope (5/26, 19%), encouragement (5/26, 19%), humor (5/26, 19%), and gratitude (3/26, 12%). The majority of positive videos included joy, often indicated by facial expression, joyful crying, and exclamations such as feeling “on cloud nine.” Videos with the subtone hope included statements such as:

    Such build up...we just hope that we’ve got something to show for it...we hope they’re positive [the results] but it’s totally out of our control so fingers crossed for it.

    Similarly, another poster discussed the decision to undergo a second round of intrauterine insemination (IUI):

    I got inside my own head and I pictured everything being a success...I said, ‘no I want to do it [IUI], I feel really confident.

    When those posting conveyed hope or support to the viewer, the video was coded as encouraging, exemplified by the following statement:

    I think it’s totally okay to be sad, but never lose hope. Don’t ever get yourself down. I mean, we all have moments where we feel vulnerable and sad and upset and everything but let that just be a small moment of your time. Let happiness fill you.

    Videos that incorporated humor included jokes and laughter. A man in 1 video bantered with a relative when disclosing a pregnancy announcement, “this time I’m not joking.” Finally, a small number of videos contained statements of gratitude. In 1 video, a couple discussing their child and their second child soon to come, stated:

    We say family prayers together and we talk about what we’re grateful for...we really don’t let a day pass us that we don’t...remind ourselves...I cannot believe we have [a child]...I’m grateful to be pregnant.

    A total of 11 videos (11/59, 19%) included messages thanking viewers or subscribers for watching, commenting on, liking, subscribing, or otherwise showing support to the poster.

    When posters discussed both positive and negative experiences, the tone was coded as mixed. For example, 1 woman describing her infertility journey expressed frustration (ie, negative tone) with the doctors she initially encountered:

    He [the doctor] was literally dismissing me because I was not old enough in his eyes to deserve treatment...that was something that was one of the hardest things that I dealt with, with my infertility. It was people not taking us seriously...Whose business was it to tell us we couldn’t [have kids yet]? And it wasn’t fair and it was frustrating and I was angry because...I felt like my right as a human being, as a woman was taken from me. It was the most frustrating, emotional, devastating thing to go through.

    After switching fertility doctors and undergoing treatment, the woman was able to achieve pregnancy, making the positive statement:

    I finally saw those two lines [on the pregnancy stick]...It was the greatest moment...It’s the greatest thing to achieve getting pregnant when you haven’t been able to...I will never take it for granted.

    The 1 neutral video included an acupuncturist who shared her personal story on natural pregnancy, explaining the steps she took to conceive.

    Informational-Educational Videos

    The purpose of all 24 informational-educational videos was coded as sharing information and each was neutral in tone. Emotional aspects of infertility treatment and advice to viewers were each present in 2 videos. Over half of the videos contained information relating to infertility causes or detection (16/24, 67%) and/or medical procedures (14/24, 58%), whereas less than one-third discussed lifestyle factors (7/24, 29%) and/or psychological factors related to infertility (6/24, 25%).

    Characteristics Relating to Video Popularity

    Personal videos (mean 2507.66, SD 2663.87) had significantly more likes than informational-educational videos (mean 241.22, SD 338.38; t56=4.04; P<.001). Personal and informational-educational videos did not differ on number of views, dislikes, subscriptions driven, or shares. Similarly, personal videos (mean 347.32, SD 405.63) had significantly more comments than informational-educational videos (mean 33.48, SD 36.48; t55=3.69; P<.001).

    Positive (n=26) and neutral (n=25) videos were further analyzed for features relating to video popularity. Personal videos with mixed tone (n=8) were not analyzed due to small sample size. Positive and neutral videos did not differ on number of views, dislikes, subscriptions driven, or shares. Positive videos had significantly more likes (mean 2059.56, SD 2355.67) than neutral videos (mean 254.29, SD 337.08; t47=3.79; P<.001). Positive videos also had significantly more comments (mean 267.32, SD 321.34) than neutral videos (mean 34.38, SD 35.95; t46=3.63; P<.001). As all positive videos (n= 26) were personal videos, it was not possible to determine whether greater engagement was due to videos being positive or personal.


    Principal Findings

    This study was the first to examine infertility-related videos on YouTube using a content analysis method. These videos had high numbers of comments, likes, shares, and subscriptions, indicating that many individuals seek out and engage with infertility-related information on YouTube. The videos were categorized into informational-educational videos and personal videos. Personal and informational-educational videos did not differ in number of views, supporting claims that people use YouTube for both health-related information [38] and social interaction and discussion [38,39]. However, personal videos did elicit more engagement as evidenced by more likes and comments. This suggests that, compared with informational-educational videos, personal videos may resonate more strongly with viewers. One reason may be that personal videos allow people to observe others undergoing similar experiences to seek reassurance, normalization, and niche support [14,15,40]. In addition, these videos may provide a platform for the posters to share and possibly validate their own infertility experiences.

    Viewers also showed greater engagement with positive videos, which garnered more likes and comments than neutral videos. This may indicate viewer preference for videos that convey a positive outlook related to fertility. Video messages showing positive fertility outcomes may increase hope and optimism in the viewer, but they may also give a false impression of the success rates of fertility treatment. In actuality, less than half of embryo transfers for in vitro fertilization result in a live birth in the United States and Canada, with rates dropping with increasing maternal age [41,42]. Reliance on YouTube for infertility information may foster unrealistic expectations regarding the success rates of treatment, which may influence treatment decisions [38,43]. As fertility patients frequently access the internet for information [13,14], research is needed to establish whether YouTube content can affect the perceptions of infertility treatment among fertility patients.

    In line with research suggesting that men are less likely to share YouTube videos [39], there was an absence of videos containing men only. When men were present, they were always accompanied by their female partner or other people (eg, friends or family). This finding is consistent with research showing that online activity and communication about infertility is more common among women [44-46]. Although we found a lack of male characters in videos, it remains possible that men seek out infertility content through other online avenues, such as websites and discussion forums. Research is needed to determine whether men use YouTube to search for information related to infertility or if they prefer other online platforms.

    Limitations and Future Directions

    There are several limitations to the study and future directions to consider. As we only examined the content of high-rated videos, the results may not be generalizable to all infertility videos on YouTube. It is possible that less viewed and favored videos may also contain stories of negative experiences and treatment failures, which were mostly absent from highly viewed videos. YouTube videos with negative tones, such as sadness and anger, may be less viewed and preferred by viewers. Our study was a cross-sectional examination of videos and did not explore how video popularity changed over time. Due to the low number of videos where advice was offered to viewers, we were not able to assess quality of the information posted. Further research is needed to undertake such an assessment, as some studies have found health information on YouTube to be false or misleading [28,47,48]. Finally, as we analyzed publicly available content, we were only able to assess metrics available from YouTube and did not ask viewers their motivations for watching videos or the impact of these videos on their attitudes and beliefs. Future research should explore how infertile men and women search for videos, their reasons for doing so, and their reactions to the content of the videos.

    Conclusion

    This analysis establishes highly viewed YouTube videos as a source of both technical and experience-based information related to infertility. Viewers appeared to prefer and engage more with videos containing personal experiences and positive tones. Although these videos may provide hope to viewers by frequently sharing positive treatment outcomes such as pregnancy announcements, they may also create and perpetuate unrealistic expectations about the success rates of fertility treatments.

    Authors' Contributions

    MKH, PHG, FB, and PZ were involved in study design and codebook development. MKH and FB independently coded the videos. MKH wrote the manuscript with assistance from PGG and PZ. All authors have read and approved the final manuscript.

    Conflicts of Interest

    None declared.

    1. Government of Canada. Fertility   URL: https://www.canada.ca/en/public-health/services/fertility/fertility.html [accessed 2018-02-15] [WebCite Cache]
    2. White L, McQuillan J, Greil AL, Johnson DR. Infertility: testing a helpseeking model. Soc Sci Med 2006 Feb;62(4):1031-1041. [CrossRef] [Medline]
    3. Thoma ME, McLain AC, Louis JF, King RB, Trumble AC, Sundaram R, et al. Prevalence of infertility in the United States as estimated by the current duration approach and a traditional constructed approach. Fertil Steril 2013 Apr;99(5):1324-1331.e1 [FREE Full text] [CrossRef] [Medline]
    4. Datta J, Palmer MJ, Tanton C, Gibson LJ, Jones KG, Macdowall W, et al. Prevalence of infertility and help seeking among 15 000 women and men. Hum Reprod 2016 Sep;31(9):2108-2118 [FREE Full text] [CrossRef] [Medline]
    5. Terävä AN, Gissler M, Hemminki E, Luoto R. Infertility and the use of infertility treatments in Finland: prevalence and socio-demographic determinants 1992-2004. Eur J Obstet Gynecol Reprod Biol 2008 Jan;136(1):61-66. [CrossRef] [Medline]
    6. Schmidt L. Infertility and assisted reproduction in Denmark. Epidemiology and psychosocial consequences. Dan Med Bull 2006 Nov;53(4):390-417. [Medline]
    7. Jacob MC, McQuillan J, Greil AL. Psychological distress by type of fertility barrier. Hum Reprod 2007 Mar;22(3):885-894. [CrossRef] [Medline]
    8. Dooley M, Dineen T, Sarma K, Nolan A. The psychological impact of infertility and fertility treatment on the male partner. Hum Fertil (Camb) 2014 Sep;17(3):203-209. [CrossRef] [Medline]
    9. Valoriani V, Lotti F, Lari D, Miccinesi G, Vaiani S, Vanni C, et al. Differences in psychophysical well-being and signs of depression in couples undergoing their first consultation for assisted reproduction technology (ART): an Italian pilot study. Eur J Obstet Gynecol Reprod Biol 2016 Feb;197:179-185. [CrossRef] [Medline]
    10. Chachamovich JR, Chachamovich E, Ezer H, Fleck MP, Knauth D, Passos EP. Investigating quality of life and health-related quality of life in infertility: a systematic review. J Psychosom Obstet Gynaecol 2010 Jun;31(2):101-110. [CrossRef] [Medline]
    11. Talarczyk J, Hauke J, Poniewaz M, Serdyńska-Szuster M, Pawelczyk L, Jedrzejczak P. [Internet as a source of information about infertility among infertile patients]. Ginekol Pol 2012 Apr;83(4):250-254. [Medline]
    12. Kahlor L, Mackert M. Perceptions of infertility information and support sources among female patients who access the Internet. Fertil Steril 2009 Jan;91(1):83-90. [CrossRef] [Medline]
    13. Zelkowitz P, Robins S, Grunberg P. Searching for Infertility Information Online: Differences Between Men and Women. iproc 2016 Dec 30;2(1):e37. [CrossRef]
    14. Porter M, Bhattacharya S. Helping themselves to get pregnant: a qualitative longitudinal study on the information-seeking behaviour of infertile couples. Hum Reprod 2008 Mar;23(3):567-572. [CrossRef] [Medline]
    15. Hinton L, Kurinczuk JJ, Ziebland S. Infertility; isolation and the Internet: a qualitative interview study. Patient Educ Couns 2010 Dec;81(3):436-441. [CrossRef] [Medline]
    16. Fox S, Duggan M. PewInternet. Health Online 2013   URL: http://www.pewinternet.org/files/old-media//Files/Reports/PIP_HealthOnline.pdf [accessed 2018-02-13] [WebCite Cache]
    17. Antheunis ML, Tates K, Nieboer TE. Patients' and health professionals' use of social media in health care: motives, barriers and expectations. Patient Educ Couns 2013 Sep;92(3):426-431. [CrossRef] [Medline]
    18. Alexa. 2018. Youtube.com Traffic Statistics   URL: https://www.alexa.com/siteinfo/youtube.com [accessed 2018-02-15] [WebCite Cache]
    19. YouTube. 2018. YouTube for Press   URL: https://www.youtube.com/yt/about/press/ [accessed 2018-02-15] [WebCite Cache]
    20. Flanders CE, Pragg L, Dobinson C, Logie C. Young sexual minority women's use of the internet and other digital technologies for sexual health information seeking. Can J Hum Sex 2017 Apr;26(1):17-25. [CrossRef]
    21. Vance K, Howe W, Dellavalle RP. Social internet sites as a source of public health information. Dermatol Clin 2009 Apr;27(2):133-6, vi. [CrossRef] [Medline]
    22. Park DY, Goering EM. The health-related uses and gratifications of YouTube: motive, cognitive involvement, online activity, and sense of empowerment. J Consum Health Internet 2016 May 09;20(1-2):52-70. [CrossRef]
    23. Lo AS, Esser MJ, Gordon KE. YouTube: a gauge of public perception and awareness surrounding epilepsy. Epilepsy Behav 2010 Apr;17(4):541-545. [CrossRef] [Medline]
    24. Tang W, Olscamp K, Choi SK, Friedman DB. Alzheimer's disease in social media: content analysis of YouTube videos. Interact J Med Res 2017 Oct 19;6(2):e19 [FREE Full text] [CrossRef] [Medline]
    25. Stellefson M, Chaney B, Ochipa K, Chaney D, Haider Z, Hanik B, et al. YouTube as a source of chronic obstructive pulmonary disease patient education: a social media content analysis. Chron Respir Dis 2014 May;11(2):61-71 [FREE Full text] [CrossRef] [Medline]
    26. Lewis SP, Heath NL, St Denis JM, Noble R. The scope of nonsuicidal self-injury on YouTube. Pediatrics 2011 Mar;127(3):e552-e557. [CrossRef] [Medline]
    27. Desai T, Shariff A, Dhingra V, Minhas D, Eure M, Kats M. Is content really king? An objective analysis of the public's response to medical videos on YouTube. PLoS One 2013 Dec 18;8(12):e82469 [FREE Full text] [CrossRef] [Medline]
    28. Murugiah K, Vallakati A, Rajput K, Sood A, Challa NR. YouTube as a source of information on cardiopulmonary resuscitation. Resuscitation 2011 Mar;82(3):332-334. [CrossRef] [Medline]
    29. Eysenbach G, Till JE. Ethical issues in qualitative research on internet communities. BMJ 2001 Nov 10;323(7321):1103-1105 [FREE Full text] [Medline]
    30. Lewis SP, Heath NL, Sornberger MJ, Arbuthnott AE. Helpful or harmful? An examination of viewers' responses to nonsuicidal self-injury videos on YouTube. J Adolesc Health 2012 Oct;51(4):380-385. [CrossRef] [Medline]
    31. YouTube. 2017.   URL: https://www.youtube.com/ [accessed 2017-01-09] [WebCite Cache]
    32. Jadhav A, Andrews D, Fiksdal A, Kumbamu A, McCormick JB, Misitano A, et al. Comparative analysis of online health queries originating from personal computers and smart devices on a consumer health information portal. J Med Internet Res 2014 Jul 04;16(7):e160 [FREE Full text] [CrossRef] [Medline]
    33. iProspect. 2006. iProspect Search Engine User Behavior Study   URL: http://district4.extension.ifas.ufl.edu/Tech/TechPubs/WhitePaper_2006_SearchEngineUserBehavior.pdf [accessed 2018-02-15] [WebCite Cache]
    34. McHugh ML. Interrater reliability: the kappa statistic. Biochem Med (Zagreb) 2012;22(3):276-282 [FREE Full text] [Medline]
    35. Primack BA, Colditz JB, Pang KC, Jackson KM. Portrayal of alcohol intoxication on YouTube. Alcohol Clin Exp Res 2015 Mar;39(3):496-503 [FREE Full text] [CrossRef] [Medline]
    36. Samuel N, Alotaibi NM, Lozano AM. YouTube as a source of information on neurosurgery. World Neurosurg 2017 Sep;105:394-398. [CrossRef] [Medline]
    37. MacLean SA, Basch CH, Reeves R, Basch CE. Portrayal of generalized anxiety disorder in YouTube™ videos. Int J Soc Psychiatry 2017 Dec;63(8):792-795. [CrossRef] [Medline]
    38. Madathil KC, Rivera-Rodriguez AJ, Greenstein JS, Gramopadhye AK. Healthcare information on YouTube: A systematic review. Health Informatics J 2015 Sep;21(3):173-194. [CrossRef] [Medline]
    39. Khan ML. Social media engagement: What motivates user participation and consumption on YouTube? Comput Human Behav 2017 Jan;66:236-247. [CrossRef]
    40. Malik SH, Coulson NS. Computer-mediated infertility support groups: an exploratory study of online experiences. Patient Educ Couns 2008 Oct;73(1):105-113. [CrossRef] [Medline]
    41. Canadian Fertility and Andrology Society. 2016. Press Release Assisted Reproductive Technologies (ART) in Canada: 2015 Results from the Canadian ART Register (CARTR)   URL: https://cfas.ca/public-affairs/canadian-art-register/ [WebCite Cache]
    42. Centers for Disease Control and Prevention. ART National Data Success Rates   URL: https://www.cdc.gov/art/index.html [accessed 2018-05-09] [WebCite Cache]
    43. Fox S, Jones S. Pew Internet. 2009 Jun. The social life of health information   URL: http://www.pewinternet.org/files/old-media/Files/Reports/2009/PIP_Health_2009.pdf [accessed 2018-02-13] [WebCite Cache]
    44. Malik SH, Coulson NS. Coping with infertility online: an examination of self-help mechanisms in an online infertility support group. Patient Educ Couns 2010 Nov;81(2):315-318. [CrossRef] [Medline]
    45. Malik SH, Coulson NS. A comparison of lurkers and posters within infertility online support groups. Comput Inform Nurs 2011 Oct;29(10):564-573. [CrossRef] [Medline]
    46. Haagen EC, Tuil W, Hendriks J, de Bruijn RP, Braat DD, Kremer JA. Current Internet use and preferences of IVF and ICSI patients. Hum Reprod 2003 Oct;18(10):2073-2078. [Medline]
    47. Pandey A, Patni N, Singh M, Sood A, Singh G. YouTube as a source of information on the H1N1 influenza pandemic. Am J Prev Med 2010 Mar;38(3):e1-e3. [CrossRef] [Medline]
    48. Sood A, Sarangi S, Pandey A, Murugiah K. YouTube as a source of information on kidney stone disease. Urology 2011 Mar;77(3):558-562. [CrossRef] [Medline]

    ‎
    IUI: intrauterine insemination

    Edited by G Eysenbach; submitted 23.02.18; peer-reviewed by N Coulson, Y Motoki, J Navarro-Pando; comments to author 15.03.18; revised version received 23.03.18; accepted 10.04.18; published 23.05.18

    Copyright

    ©Margot Kelly-Hedrick, Paul H Grunberg, Felicia Brochu, Phyllis Zelkowitz. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 23.05.2018.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.