Skip to main content

SYSTEMATIC REVIEW article

Front. Digit. Health, 31 January 2024
Sec. Health Communications and Behavior Change

Online peer support for people with Amyotrophic Lateral Sclerosis (ALS): a narrative synthesis systematic review

  • 1Institute of Mental Health, Mental Health and Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham, United Kingdom
  • 2Population and Lifespan Health, School of Medicine, University of Nottingham, Nottingham, United Kingdom

Background: Amyotrophic Lateral Sclerosis (ALS) significantly impacts the lives of people with the diagnosis and their families. A supportive social environment is important for people with ALS to adopt effective coping strategies and health behaviours, and reduce depressive symptoms. Peer support can provide a supportive social environment and can happen in-person and online. Advantages of online peer support are that people can engage from their own home, at their own time and pace, and that it offers a variety of different platforms and modes of communication.

Objectives: To (1) explore the benefits and challenges of online peer support for people with ALS, and (2) identify successful elements of online peer support for people with ALS.

Methods: The method selected for this systematic review was a narrative synthesis. Six databases were systematically searched in April 2020 for articles published between 1989 and 2020. The search was updated in June 2022. The quality of the included studies was assessed with the Critical Appraisal Skills Programme qualitative research checklist.

Results: 10,987 unique articles were identified through the systematic database search. Of those, 9 were included in this review. One of the main benefits of online peer support was that people could communicate using text rather than needing verbal communication, which can be challenging for some with ALS. Successful elements included using profile pages and graphics to identify others with similar or relevant experiences. Challenges included ALS symptoms which could make it difficult to use technological devices.

Conclusions: Peer support can provide a non-judgmental and supportive environment for people with ALS, in which they can exchange experiences and emotional support, which can help people in developing adaptive coping strategies. However, ALS symptoms may make it more difficult for people to use technological devices and engage in online peer support. More research is needed to identify what kind of specific barriers people with ALS experience, and how these could be overcome.

1 Introduction

1.1 Background

Amyotrophic Lateral Sclerosis (ALS) is a motor neuron disease that affects the lower and upper motor neurons. ALS progresses rapidly, with most people living 3–5 years after they get diagnosed (1). Typically, people are around 60 years old when they get diagnosed (2). ALS is a rare condition and there are few recent studies on the epidemiology of ALS. A 2019 Global Burden of Motor Neuron Disease study estimated that in 2019 around 268,000 people were living with motor neuron disease globally. When looking at regions in the world, this study shows that the highest prevalence of Motor Neuron Disease is in Western Europe, with more than 56,000 people living with the condition in 2019. This is followed by Tropical Latin America (including Brazil and Paraguay) with over 44,000 people, and North America and East Asia with both over 43,000 people. The same study found that in 2019, Motor Neuron Disease caused more than 1 million disability adjusted life years worldwide (3). As the condition progresses people can experience difficulties with speaking, eating, moving and breathing (1). Additionally, people with ALS can experience forms of cognitive impairment, including difficulties in recognising emotions in others, interpreting social situations (4), and apathy. Due to the nature of symptoms and the rapid progression of the condition, people with ALS need ongoing care and support (5).

ALS significantly impacts the lives of people living with the diagnosis and their families (57). Besides the physical symptoms, ALS also has an emotional impact. People with ALS can experience an increasing loss of control and dependency on others and often fear being a burden (58), as they have to rely on others for medication, personal care, and attending healthcare appointments (7). Matuz, Birbaumer (6) emphasize the importance of social support and adaptive coping strategies in adjusting to living with ALS. They found that higher levels of perceived social support and coping skills can reduce depressive symptoms. A supportive social environment without judgement is important to help people with ALS use effective coping strategies, reduce the impact of stress, and adopt positive health behaviours (6). Moreover, Matuz, Birbaumer (6) found that quality of life in people living with ALS is not mainly determined by the time since diagnosis or severity of symptoms, but more so by psychosocial factors. This is in line with the Social Health Framework, which states that health is about finding a balance between the limitations that someone experiences because of their health condition, and the abilities that they still have (9). For example, Dröes, Chattat (10) found that by focusing on one's abilities and positive coping strategies, people with dementia can still live meaningful and satisfying lives and perceive a good quality of life. For this, people need a strong social network that supports them to adapt and self-manage, and enables them to remain independent and autonomous for as long as possible (10). The Social Health Framework consists of three dimensions: the ability to (1) fulfill one's potential as well as obligations, (2) manage one's own life with some independence, and (3) participate in work and social activities (9).

One way to improve the Social Health of people with ALS is through peer support. Peer support is well-known for offering a non-judgmental environment where people who have similar life experiences or a similar health condition can exchange experiences and support (11). One of the characteristics of peer support is that there is reciprocity of support. Being in an environment where one can both receive and provide support to others can increase feelings of empowerment (1113). Another characteristic of peer support is sharing experiential knowledge, which is the knowledge that people have because of their own experiences of living with a health condition. This can support people in developing new and positive coping skills (13). These characteristics are unique to peer support, and it shows that peer support can go beyond support that is available from healthcare professionals and friends or family who do not have an ALS diagnosis (14).

Peer support can happen in-person and in online settings. Online peer support includes a wide variety of different platforms, which have different modes of communication. For example, asynchronous (not in real time) communication on discussion forums or social media platforms can include text-based communication, but also communication through emoticons, images, and videos. Through videoconferencing platforms people can communicate verbally in real time. One of the main advantages of online peer support is that it is not limited by geographical barriers (15), making it potentially suitable for those who have rare conditions, do not have access to in-person support in their local area, or cannot travel. Additionally, online platforms can allow for anonymity, making it potentially suitable for people with stigmatised conditions (16) or to discuss taboo topics (17).

Research suggests that online peer support can be beneficial for people with chronic (18) or neurodegenerative (19, 20) conditions. Research on online peer support for people with ALS is growing and suggests it could be beneficial (see Stewart Loane and D’Alessandro (21) and Caron and Light (22) for examples). Weeks, Gould (7) found that people with ALS are interested in online peer support due to its convenience. For example, because people can engage with it when it suits them, and they do not have to rely on anyone to travel to an in-person meeting (7). However, knowledge on how online peer support may impact health outcomes and self-management for people with ALS is limited.

1.2 Objectives

This review aims to (1) explore the benefits and challenges of online peer support for people with ALS, and (2) identify successful elements of online peer support for people with ALS. Successful elements of online peer support are considered to be those aspects that can result in positive outcomes for the user. Challenges are those aspects that can make it more difficult for a person with ALS to use online peer support. This can relate to the technology as well as ALS symptoms. Understanding successful elements and challenges can be helpful in improving existing and developing new online peer support opportunities for people with ALS, as well as other chronic, neurodegenerative conditions.

2 Methods

This review followed the narrative synthesis procedures of Popay, Roberts (23) including four elements: (1) theory development (covered in background section), (2) development of a preliminary synthesis, (3) exploration of relationships in the data, and (4) assessment of the robustness of the synthesis. With the narrative synthesis method the findings are words- and text-based, making it a helpful method to identify best practices (23). This review is presented following the PRISMA 2020 guidelines (24).

2.1 Search strategy

A systematic database search was conducted in April 2020 and updated in June 2022. The search was part of a wider appraisal of the literature on different chronic neurodegenerative conditions (19, 20). Six databases were searched: CINAHL, Cochrane Library, Embase Medline, PsycINFO, Scopus, and Web of Science. The search terms and search filters that were used are presented in the Supplementary Material. One search filter regarding year of publication was applied (1989–2020) as the World Wide Web was introduced in 1989 (25). The filter on the year of publication was adjusted to 2020–2022 when the search was rerun. To reduce the risk of selection and publication bias, EVG conducted a search on Google Scholar and manually searched the reference lists of the included papers (26, 27). This did not result in new papers being added.

2.2 Inclusion and exclusion criteria

Inclusion criteria:

• The study population included people living with ALS or a blend of people with ALS and caregivers;

• The intervention included online peer support. Online peer support was regarded as communication via the Internet between peers in an online environment that is designed to facilitate social contact using either an asynchronous or synchronous text or text/video-based platform (e.g. social media platforms, forums, chat rooms or videoconferencing platforms);

• Publication between 1989 and 2020;

• Publication in peer reviewed journals.

Exclusion criteria:

• The study focused solely on caregiver perspectives;

• The intervention included online peer support that was part of a programme that also included in-person or telephone-based peer support;

• The study did not report on peer-to-peer interactions.

• They reported findings of literature reviews, opinion pieces, protocols, editorials, conference abstracts, or theses/dissertations;

• Papers were written in a language other than English if a translation was not available.

2.3 Study selection

The search results were imported into Endnote and duplicates were removed. EVG reviewed each title and abstract against the eligibility criteria which was followed by a full-text analysis of the potentially relevant studies. ARL provided a second independent review on studies labelled “unsure” in both stages. The main reason for labelling a study as unsure was that it met the eligibility criteria, but the outcomes did not mainly focus on peer-to-peer interactions (but rather on, for example, quality of life). Following a discussion with a senior member of the team (OM) the exclusion criteria were amended to exclude studies that did not report on peer-to-peer interactions. The papers that were included up until that point were reassessed.

2.4 Data extraction

EVG extracted the data using standardized data extraction forms including study information, study characteristics, population characteristics, characteristics of the online platform, outcomes, and implications for future research. ARL provided a second independent review of the completed data extraction forms.

2.5 Quality assessment

The Critical Appraisal Skills Programme (CASP) checklist for qualitative studies (28) was selected to assess the quality of the included studies. The CASP checklist was recommended in the Centre for Reviews and Dissemination guidance for undertaking reviews in healthcare (29). EVG completed the initial quality assessment and ARL provided a second independent review. The CASP checklist consists of 10 questions related to “rigour, credibility and relevance” (29). Studies were graded “high” if they met or partially met 8–10 items, “medium” if they met or partially met 5–7 items, and “low” if they met or partially met 0–4 items (30).

3 Results

The results section covers element 2 of a narrative synthesis: developing a preliminary synthesis. The online database search returned 10,987 unique papers, of which nine were included (Figure 1). The updated search in June 2022 did not result in new studies being included.

Figure 1
www.frontiersin.org

Figure 1. PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) diagram of the search and review process.

3.1 Study characteristics

All studies included in this review used a qualitative design. The most frequently used method was content analysis (21, 3136). Other methods include an asynchronous online focus group (22), interviews (33), and a case study (34). One study included people with ALS and carers (21) whereas the others only included people living with ALS (Table 1).

Table 1
www.frontiersin.org

Table 1. Study characteristics.

3.2 Summary of interventions

All studies focused on text-based, asynchronous (not in real time) communication and covered different platforms. Discussion forums were covered most frequently (21, 33, 35, 36), followed by the PatientsLikeMe platform (31, 32, 37). Hemsley and Palmer (34) analysed Twitter, and Caron and Light (22) used a Wikispace for their online focus group. Most studies analysed a moderated platform, meaning that one or multiple people monitor the posts or facilitate the discussion (22, 3133, 37), whereas others were unmoderated (34) or it was not specified (21, 35, 36) (Table 2).

Table 2
www.frontiersin.org

Table 2. Online peer support characteristics.

3.3 Quality assessment

Six studies were of high quality (21, 22, 32, 33, 35, 37), and three were of medium quality (31, 34, 36). A table showing the results of the quality assessment for each individual study can be found in the Supplementary Material.

3.4 Key findings

An overview of the key findings is presented in Table 2. The main successful element identified in this review was social support, including informational, network, and emotional support.

3.4.1 Benefits and challenges

Online peer support can be a convenient way of staying connected with others. Due to the nature of symptoms, people with ALS can experience difficulties in getting out of the house and meeting people. This can make the Internet a suitable alternative, as it offers different modes of communication and thus can support different needs and preferences. Being part of an online network can also create opportunities to get involved in advocacy and to raise awareness about ALS (22).

One of the first abilities I began to lose was speech. Social events became more uncomfortable the worse my speech became. Even with the help of speech assistance [AAC support with speech output], group interaction is difficult. Facebook is a better communication tool for me. On Facebook we all are on the same level of communication ability (22).

Only one study reported on challenges and potential barriers of online peer support (22). Physical symptoms of ALS can cause difficulties using a computer and typing. A potential solution could be eye-gaze technology. Furthermore, people may feel that online, text-based communication lacks emotion and body-language, and cannot replace real-life communication (22).

3.4.2 Informational support

The Internet can offer a large amount of information on treatments, medication, and research opportunities (22). Frost and Massagli (32), Frost and Massagli (31), and Kazmer, Lustria (37) analysed the PatientsLikeMe platform, where users share symptoms, medications, and assistive tools they use through symbols on their profile. This can help people in identifying others in a similar situation or with relevant experience. When sharing advice and recommendations, people often shared personal experiences based on what others added to their profiles or asked targeted questions (32):

I notice you have had a tube for about 8 months. I'm having difficulty eating so the neurologist suggested I look into getting one. It would help me if you would send me a message about your experience, pro and con (32).

People used PatientsLikeMe to get advice on assistive technologies and discuss advance care planning and palliative care. They shared their experiences in deciding which type of assistive technology to use and practical hints and tips (31). For example, one person shared how they remain mobile while using a bipap machine:

We put it on a small shelf behind the wheelchair and set the bipap on top of the battery […]. You plug your bipap in an inverter and plug the inverter into the battery. Very portable (31).

Kazmer, Lustria (32) noted different people answered questions that were posted and signposted to other relevant threads on the platform. Threads had subject headings, for example “Loss of appetite from taking scopolamine”, making it easier to identify relevant topics. The option to search for information and previous discussion topics was experienced as helpful (37). Another benefit of asynchronous (not in real time) platforms is that people can ask for support or information when needed (22).

3.4.3 Network support

Hargreaves, Bath (33) found that forum users perceived a real sense of community and support. This helped people talk about things that they would not necessarily feel comfortable speaking about with family or friends (22, 33).

I have emotional lability […]. For those who understand, no explanation is necessary, for those who don't, no explanation is possible. Social media allows those emotional outbursts with no external discomfort. We can share in a place of understanding, in our own time and own pace without expectation or interruption (22).

Being part of a network and supporting others can increase feelings of empowerment (21, 22). Through online peer support people can create value by sharing their experiences and advice (17). This is important, as people with ALS become increasingly reliant on others.

I am so glad to find this site because I see there are many of us with slower progression than stereotypical. The support groups locally really focus on immediate need patients […]. It has been so great to see how long timers cope with losing our function slowly (27).

3.4.4 Emotional support

Through online platforms people shared empathy and compassion (21). People with ALS and their families try to have a positive outlook on things and shared this attitude by expressing empathy and support to others going through something difficult (36).

Hargreaves, Bath (33) discussed how it was for forum members when others dropped out because their ALS had progressed or they passed away. Sharing the grief over losing members of the forum, and losing the person someone once was created an emotional bond.

There is a tremendous empathetic bond between the forumites. We share a life sentence. It cannot be more powerful than that. The feeling between us all on the forum has been strengthened through all these deaths. It is tangible (33).

4 Discussion

4.1 Principal findings

This section presents the summary and interpretation of findings (narrative synthesis element 3: exploring relationships within and between studies). This review suggests that online peer support can be a valuable form of post-diagnostic support and has the potential to improve every domain of the Social Health Framework (9).

4.1.1 Benefits and successful elements

This review shows that people with ALS use online peer support networks to exchange experiences and information. Learning from others can help people develop and improve coping skills and adapt to daily life with ALS (38). Online health communities, such as discussion forums and Facebook groups allow for a much larger membership than in-person groups, providing the opportunity to learn from a wide range of experiences. Wicks, Mack Thorley (38) found that PatientsLikeMe members reported improved feelings of control over their condition, and generally a better quality of life. This relates to two dimension of the Social Health Framework: (1) ability to fulfil potential and obligations, and (2) manage life with some level of independence (9).

Websites such as PatientsLikeMe allow people to share their experiences on their profile, making it easier to identify others in a similar situation or with relevant experience (31, 32, 37). Hargreaves, Bath (33) emphasize the importance of similarity. People indicated that having similarities stimulated conversation and that they felt more connected to those who share similarities with themselves (33). This supports earlier work by Lieberman, Wizlenberg (39) on online peer support for people with Parkinson's Disease. People with a similar age or time since diagnosis felt more connected to the people in their group and were less likely to drop out (39). Additionally, on asynchronous platforms information or discussion topics can be saved, allowing people to revisit what they find relevant (40, 41).

Furthermore, this review suggests that despite not being physically close, people with ALS can build meaningful connections and exchange support in an online setting. Online peer support can be a convenient way to connect with others from the comfort of one's own home, as ALS symptoms can make it more difficult to travel. This supports previous work by Leavitt, Riley (42), who found that people with Multiple Sclerosis felt safe and more comfortable joining online peer support compared to in-person groups. For people with ALS, difficulties with speech and experiencing emotional lability can make in-person events more challenging (22). Online peer support offers different forms of communication, tailoring towards different needs, abilities, and preferences. For example, asynchronous platforms allow people to communicate at their own pace and in their own time, without the need for verbal communication or the use of voice-assisted technologies. This relates to the last dimension of the Social Health Framework: being able to participate in social activities and work (9).

4.1.2 Challenges

Physical symptoms of ALS can make it more challenging to use technological devices. Eye-gazing technology or AAC support could help, however, verbal and group interaction can remain challenging as it takes time to type on an AAC device, slowing down the communication (22). Asynchronous text-based platforms could offer a solution. However, previous research into online peer support on discussion forums shows that it can be difficult to judge the trustworthiness of online information (43, 44). A recent systematic review by Suarez-Lledo and Alvarez-Galvez (45) shows that on social media there is especially a risk for misinformation around health-related topics, including treatment, medication and interventions. In the context of misinformation, Turner (46) warns that through online peer support platforms, people can even be exposed harmful or misleading information. This raises the question of whether professionals should play a role in online patient communities by verifying and providing information, as has been considered for people with Multiple Sclerosis (20). However, including professionals might affect how freely speak to their peers, especially regarding their experiences with healthcare professionals. Additionally, facilitators and moderators have an important role in reminding people to always consult with their physician regarding medication, treatments, or symptoms (20).

4.2 Limitations

This section assesses the robustness of the synthesis (narrative synthesis element 4). Most studies included in this review used a qualitative content analysis methodology, and as a result this review only represents the views and experiences of people with ALS who are active on the online platform, meaning that they either create or respond to posts. However, research into online peer support for people with Multiple Sclerosis shows that non-active members can still benefit. The findings show that people can still feel a sense of community and benefit from practical hints and tips that others in the online group shared (47). Additionally, this review may over represent positive aspects of online peer support, since people who are active on an online platform tend to be the ones who enjoy it, only one study reported on the negatives and potential challenges of online peer support for people with ALS (22), and we could not include views and experiences of those who are unable to use or stopped using online peer support. Finally, with the qualitative content analysis methodology the findings can still remain dependent on the researchers’ interpretation (19).

4.3 Recommendations for future research

The systematic database search did not identify studies on verbal communication. During the COVID-19 pandemic videoconferencing platforms became increasingly popular. Nevertheless, after rerunning the database search no studies on using videoconferencing platforms for peer support were identified. However, as this review only represents the academic literature, some forums (e.g., Everything ALS and ALS ONE), Facebook groups, podcasts (e.g., Endpoint) and movements such as IamALS on Twitter are not represented. Furthermore, the use of PatientsLikeMe has declined. Future work could focus on the grey literature and real-world initiatives, to develop an up-to-date scoping review of online peer support communities for people with ALS. National ALS organisations could also provide such overviews on their websites, making it easier for patients to access this information and find a community that might suit them.

Despite the potential challenges with verbal communication, future research could explore whether videoconferencing platforms could be useful for peer support for people with ALS. Furthermore, previous research shows that text-based platforms have a large group non-active members, who still follow what is being shared (47). Future research could explore the experiences of this group, for example through surveys or interviews. Such research could also be used to gain knowledge on barriers for people with ALS to engage with technology or online peer support remains limited. Due to the progressive nature of ALS and the increasing challenges and barriers that people face, it is important to gain more insights in such barriers and how to overcome them, so that people can use online (peer support) resources for longer. With more aspects of health and social care being digitalised, a process that accelerated during the COVID-19 pandemic (48), it is important that people with ALS can engage with technology and use online communication systems. However, due to the progressive nature of symptoms, people with ALS may need support in using technological devices and engaging in online communication (49). Future research is needed to explore what kind of support people with ALS need in this, how it can best be embedded in health and social care systems. For example, future research could explore how the healthcare and voluntary sectors could support people with ALS in using technology, and how national governments and local healthcare commissioners can provide resources and support in this. While ALS is a rare condition, there are other conditions where people can experience symptoms that could impact their ability to use technology and engage in online communication, for example dementia (50), Parkinson's disease (19), and Multiple Sclerosis (20), which could benefit from such research as well.

5 Conclusions

Peer support can provide a supportive environment where people can connect and share experiences with others in a similar situation. This can help to develop adaptive coping skills. Online platforms can accommodate towards various needs, abilities, and preferences, as it offers different modes of communication. Particularly text-based, asynchronous (not in real time) platforms allow for people to engage at their own pace and in their own time, from the comfort of their own home. Such platforms can be especially useful for those who experience difficulties with verbal communication. However, ALS symptoms may make it more difficult for people to use technological devices and engage in online peer support. More research is needed to identify what kind of barriers people with ALS experience, and how these could be overcome.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.

Author contributions

EVG conducted the review and narrative synthesis and was the lead in writing of the manuscript. ARL provided a second review during all stages. OM was consulted as a third reviewer during the screening process. NC provided support for developing the search strategy. MO and OM provided feedback regarding the narrative synthesis process. All authors contributed to the article and approved the submitted version.

Funding

This work was funded by the Marie Skłodowska-Curie Actions – Innovative Training Networks (H2020-MSCA-ITN-2018; grant agreement number: 813196). This study is supported by the NIHR Applied Research Collaboration East Midlands (ARC EM). The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care.

Acknowledgments

The authors would like to thank Emma Young (deputy head of knowledge services) and Naomi Thorpe (senior information specialist) from the Library and Knowledge Services at Nottinghamshire Healthcare National Health Service Foundation Trust for their support in defining the search strategy and running the pilot searches for this review. This paper was adopted form a chapter in EVG's PhD thesis

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fdgth.2024.1138530/full#supplementary-material

References

1. National Institute of Neurological Disorders and Stroke. Motor neuron disease fact sheet (2022). Available online at: https://www.ninds.nih.gov/health-information/patient-caregiver-education/fact-sheets/motor-neuron-diseases-fact-sheet#:∼:text=Amyotrophic%20lateral%20sclerosis%20(ALS)%2C,neuron%20disease%20and%20ALS%20interchangeably (accessed June 28, 2022).

2. Talbott EO, Malek AM, Lacomis D. The epidemiology of amyotrophic lateral sclerosis. Handb Clin Neurol. (2016) 138:225–38. doi: 10.1016/B978-0-12-802973-2.00013-6

PubMed Abstract | Crossref Full Text | Google Scholar

3. Park J, Kim J-E, Song T-J. The global burden of motor neuron disease: an analysis of the 2019 global burden of disease study. Front Neurol. (2022) 13. doi: 10.3389/fneur.2022.864339

Crossref Full Text | Google Scholar

4. Beeldman E, Raaphorst J, Klein Twennaar M, de Visser M, Schmand BA, de Haan RJ. The cognitive profile of ALS: a systematic review and meta-analysis update. Journal of neurology. Neurosurg Psychiatry. (2016) 87(6):611. doi: 10.1136/jnnp-2015-310734

Crossref Full Text | Google Scholar

5. de Wit J, Bakker LA, van Groenestijn AC, van den Berg LH, Schröder CD, Visser-Meily JMA, et al. Caregiver burden in amyotrophic lateral sclerosis: a systematic review. Palliat Med. (2017) 32(1):231–45. doi: 10.1177/0269216317709965

PubMed Abstract | Crossref Full Text | Google Scholar

6. Matuz T, Birbaumer N, Hautzinger M, Kübler A. Psychosocial adjustment to ALS: a longitudinal study. Front Psychol. (2015) 6. doi: 10.3389/fpsyg.2015.01197

PubMed Abstract | Crossref Full Text | Google Scholar

7. Weeks KR, Gould RL, McDermott C, Lynch J, Goldstein LH, Graham CD, et al. Needs and preferences for psychological interventions of people with motor neuron disease. Amyotroph Lateral Scler Frontotemporal Degener. (2019) 20(7-8):521–31. doi: 10.1080/21678421.2019.1621344

PubMed Abstract | Crossref Full Text | Google Scholar

8. Oh J, Kim JA. Supportive care needs of patients with amyotrophic lateral sclerosis/motor neuron disease and their caregivers: a scoping review. J Clin Nurs. (2017) 26(23-24):4129–52. doi: 10.1111/jocn.13945

PubMed Abstract | Crossref Full Text | Google Scholar

9. Huber M, Knottnerus JA, Green L, Horst H, Jadad AR, Kromhout D, et al. How should we define health? Br Med J. (2011) 343:d4163. doi: 10.1136/bmj.d4163

Crossref Full Text | Google Scholar

10. Dröes RM, Chattat R, Diaz A, Gove D, Graff M, Murphy K, et al. Social health and dementia: a European consensus on the operationalization of the concept and directions for research and practice. Aging Ment Health. (2017) 21(1):4–17. doi: 10.1080/13607863.2016.1254596

Crossref Full Text | Google Scholar

11. Keyes SE, Clarke CL, Wilkinson H, Alexjuk EJ, Wilcockson J, Robinson L, et al. “We’re all thrown in the same boat…”: a qualitative analysis of peer support in dementia care. Dementia. (2014) 15(4):560–77. doi: 10.1177/1471301214529575

PubMed Abstract | Crossref Full Text | Google Scholar

12. Barak A, Boniel-Nissim M, Suler J. Fostering empowerment in online support groups. Comput Human Behav. (2008) 24(5):1867–83. doi: 10.1016/j.chb.2008.02.004

Crossref Full Text | Google Scholar

13. Watson E. The mechanisms underpinning peer support: a literature review. J Ment Health. (2019) 28(6):677–88. doi: 10.1080/09638237.2017.1417559

PubMed Abstract | Crossref Full Text | Google Scholar

14. Kirkegaard S. Experiential knowledge in mental health services: analysing the enactment of expertise in peer support. Sociol Health Illn. (2022) 44(2):508–24. doi: 10.1111/1467-9566.13438

PubMed Abstract | Crossref Full Text | Google Scholar

15. Moorhead SA, Hazlett DE, Harrison L, Carroll JK, Irwin A, Hoving C. A new dimension of health care: systematic review of the uses, benefits, and limitations of social media for health communication. J Med Internet Res. (2013) 15(4):e85. doi: 10.2196/jmir.1933

PubMed Abstract | Crossref Full Text | Google Scholar

16. Gatos D, Günay A, Kırlangıç G, Kuscu K, Yantac AE. How HCI bridges health and design in online health communities: a systematic review. Designing Interactive Systems Conference 2021; Virtual Event; USA: Association for Computing Machinery (2021). p. 970–83

17. Lieberman MA, Winzelberg A, Golant M, Wakahiro M, Diminno M, Aminoff M, et al. Online support groups for Parkinson’s patients. Soc Work Health Care. (2006) 42(2):23–38. doi: 10.1300/J010v42n02_02

Crossref Full Text | Google Scholar

18. Kingod N, Cleal B, Wahlberg A, Husted GR. Online peer-to-peer communities in the daily lives of people with chronic illness: a qualitative systematic review. Qual Health Res. (2016) 27(1):89–99. doi: 10.1177/1049732316680203

Crossref Full Text | Google Scholar

19. Gerritzen EV, Lee AR, McDermott O, Coulson N, Orrell M. Online peer support for people with Parkinson disease: narrative synthesis systematic review. JMIR Aging. (2022) 5(3):e35425. doi: 10.2196/35425

PubMed Abstract | Crossref Full Text | Google Scholar

20. Gerritzen EV, Lee AR, McDermott O, Coulson N, Orrell M. Online peer support for people with multiple sclerosis: a narrative synthesis systematic review. Int J MS Care. (2022) 24(6):252–9. doi: 10.7224/1537-2073.2022-040

PubMed Abstract | Crossref Full Text | Google Scholar

21. Loane SS, D'Alessandro S. Communication that changes lives: social support within an online health community for ALS. Commun Q. (2013) 61(2):236–51. doi: 10.1080/01463373.2012.752397

Crossref Full Text | Google Scholar

22. Caron J, Light J. “My world has expanded even though i’m stuck at home”: experiences of individuals with amyotrophic lateral sclerosis who use augmentative and alternative communication and social Media. Am J Speech Lang Pathol. (2015) 24(4):680–95. doi: 10.1044/2015_AJSLP-15-0010

PubMed Abstract | Crossref Full Text | Google Scholar

23. Popay J, Roberts H, Sowden A, Petticrew M, Arai L, Rodgers M, et al. Guidance on the Conduct of Narrative Synthesis in Systematic Reviews Lancaster. Lancaster: Lancaster University (2006).

24. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Int Surg J. (2021) 88:105906. doi: 10.1016/j.ijsu.2021.105906

Crossref Full Text | Google Scholar

25. Jacksi K, Abass SM. Development history of the world wide web. Int J Sci Technol Res. (2019) 8(9):75–9.

Google Scholar

26. Winters M, Weir A. Grey matters; on the importance of publication bias in systematic reviews. Br J Sports Med. (2017) 51(6):488. doi: 10.1136/bjsports-2016-096679

PubMed Abstract | Crossref Full Text | Google Scholar

27. Drucker AM, Fleming P, Chan A-W. Research techniques made simple: assessing risk of bias in systematic reviews. J Invest Dermatol. (2016) 136(11):e109–14. doi: 10.1016/j.jid.2016.08.021

PubMed Abstract | Crossref Full Text | Google Scholar

28. Critical Appraisal Skills Programme. CASP qualitative checklist (2018). Available online at: https://casp-uk.net/casp-tools-checklists/.

29. Centre for Reviews and Dissemination. Systematic Reviews: CRD’s Guidance for Undertaking Reviews in Health Care. York: University of York (2009).

30. Bayliss A, Currie L, McIntosh T, Bazian L, Gallagher R, Watson M, et al. Infusion Therapy Standards: Rapid Evidence Review. London: Royal College of Nursing (2016).

31. Frost J, Massagli M. Patientslikeme the case for a data-centered patient community and how ALS patients use the community to inform treatment decisions and manage pulmonary health. Chron Respir Dis. (2009) 6(4):225–9. doi: 10.1177/1479972309348655

PubMed Abstract | Crossref Full Text | Google Scholar

32. Frost JH, Massagli MP. Social uses of personal health information within PatientsLikeMe, an online patient community: what can happen when patients have access to one another’s data. J Med Internet Res. (2008) 10(3):e15. doi: 10.2196/jmir.1053

PubMed Abstract | Crossref Full Text | Google Scholar

33. Hargreaves S, Bath PA, Duffin S, Ellis J. Sharing and empathy in digital spaces: qualitative study of online health forums for breast cancer and motor neuron disease (amyotrophic lateral sclerosis). J Med Internet Res. (2018) 20(6):e222. doi: 10.2196/jmir.9709

PubMed Abstract | Crossref Full Text | Google Scholar

34. Hemsley B, Palmer SR. Two studies on twitter networks and tweet content in relation to amyotrophic lateral sclerosis (ALS): conversation, information, and'Diary of a daily life’. HIC. (2016):41–7. doi: 10.3233/978-1-61499-666-8-41

Crossref Full Text | Google Scholar

35. Loane SS, Webster CM, D’Alessandro S. Identifying consumer value co-created through social support within online health communities. J Macromarketing. (2014) 35(3):353–67. doi: 10.1177/0276146714538055

Crossref Full Text | Google Scholar

36. Versteeg W, te Molder H. Making expertise fit: on the use of certified versus experiential knowledge in becoming an informed patient. J Health Psychol. (2019) 26(6):843–59. doi: 10.1177/1359105319847255

PubMed Abstract | Crossref Full Text | Google Scholar

37. Kazmer MM, Lustria MLA, Cortese J, Burnett G, Kim J-H, Ma J, et al. Distributed knowledge in an online patient support community: authority and discovery. J Assoc Inf Sci Technol. (2014) 65(7):1319–34. doi: 10.1002/asi.23064

Crossref Full Text | Google Scholar

38. Wicks P, Mack Thorley E, Simacek K, Curran C, Emmas C. Scaling PatientsLikeMe via a “generalized platform” for members with chronic illness: web-based survey study of benefits arising. J Med Internet Res. (2018) 20(5):e175. doi: 10.2196/jmir.9909

PubMed Abstract | Crossref Full Text | Google Scholar

39. Lieberman MA, Wizlenberg A, Golant M, Di Minno M. The impact of group composition on internet support groups: homogeneous versus heterogeneous Parkinson’s groups. Group Dyn-Theor Res Pract. (2005) 9(4):239–50. doi: 10.1037/1089-2699.9.4.239

Crossref Full Text | Google Scholar

40. Rath L, Vijiaratnam N, Skibina O. Alemtuzumab in multiple sclerosis: lessons from social media in enhancing patient care. Int J MS Care. (2017) 19(6):323–8. doi: 10.7224/1537-2073.2017-010

PubMed Abstract | Crossref Full Text | Google Scholar

41. Shavazi MA, Morowatisharifabad MA, Shavazi MT, Mirzaei M, Ardekani AM. Online social support for patients with multiple sclerosis: a thematic analysis of messages posted to a virtual support community. Int J Community Based Nurs Midwifery. (2016) 4(3):188–98.27382585

PubMed Abstract | Google Scholar

42. Leavitt VM, Riley CS, De Jager PL, Bloom S. Esupport: feasibility trial of telehealth support group participation to reduce loneliness in multiple sclerosis. Mult Scler J. (2019) 26(13):1797–800. doi: 10.1177/1352458519884241

Crossref Full Text | Google Scholar

43. Coulson NS, Shaw RL. Nurturing health-related online support groups: exploring the experiences of patient moderators. Comput Human Behav. (2013) 29(4):1695–701. doi: 10.1016/j.chb.2013.02.003

Crossref Full Text | Google Scholar

44. Malik S, Coulson NS. “They all supported me but I felt like I suddenly didn't belong anymore”: an exploration of perceived disadvantages to online support seeking. J Psychosom Obstet Gynaecol. (2010) 31(3):140–9. doi: 10.3109/0167482X.2010.504870

PubMed Abstract | Crossref Full Text | Google Scholar

45. Suarez-Lledo V, Alvarez-Galvez J. Prevalence of health misinformation on social media: systematic review. J Med Internet Res. (2021) 23(1):e17187. doi: 10.2196/17187

PubMed Abstract | Crossref Full Text | Google Scholar

46. Turner JA. Online support groups: the good, the bad, and the motivated. J Consum Health Internet. (2017) 21(1):11–25. doi: 10.1080/15398285.2017.1279930

Crossref Full Text | Google Scholar

47. Steadman J, Pretorius C. The impact of an online Facebook support group for people with multiple sclerosis on non-active users: original research. Afr J Disabil. (2014) 3(1):1–10. doi: 10.4102/ajod.v3i1.132

Crossref Full Text | Google Scholar

48. Meskó B. COVID-19′s impact on digital health adoption: the growing gap between a technological and a cultural transformation. JMIR Hum Factors. (2022) 9(3):e38926. doi: 10.2196/38926

Crossref Full Text | Google Scholar

49. Pugliese R, Sala R, Regondi S, Beltrami B, Lunetta C. Emerging technologies for management of patients with amyotrophic lateral sclerosis: from telehealth to assistive robotics and neural interfaces. J Neurol. (2022) 269(6):2910–21. doi: 10.1007/s00415-022-10971-w

PubMed Abstract | Crossref Full Text | Google Scholar

50. Talbot CV, Briggs P. The use of digital technologies by people with mild-to-moderate dementia during the COVID-19 pandemic: a positive technology perspective. Dementia. (2022) 21(4):1363–80. doi: 10.1177/14713012221079477

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: Amyotrophic Lateral Sclerosis, motor neuron disease, online health community, online peer support, narrative synthesis

Citation: Gerritzen EV, Lee AR, McDermott O, Coulson N and Orrell M (2024) Online peer support for people with Amyotrophic Lateral Sclerosis (ALS): a narrative synthesis systematic review. Front. Digit. Health 6:1138530. doi: 10.3389/fdgth.2024.1138530

Received: 6 January 2023; Accepted: 15 January 2024;
Published: 31 January 2024.

Edited by:

Carol Maher, University of South Australia, Australia

Reviewed by:

Ricardo Valentim, Federal University of Rio Grande do Norte, Brazil
André Luiz Monezi Andrade, Pontifical Catholic University of Campinas, Brazil

© 2024 Gerritzen, Lee, McDermott, Coulson and Orrell. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Esther Vera Gerritzen RXN0aGVyLkdlcnJpdHplbkBub3R0aW5naGFtLmFjLnVr

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.