Abstract
Purpose:
Loneliness has been a known severe public health concern among the elderly population during the COVID-19 pandemic. The aim of this paper is to discuss the practicalities of using emerging technologies to address elderly loneliness and its implications and adaptations to the outbreak of coronavirus disease–2019.
Design/methodology/approach:
The authors draw on examples from the literature and their own observations from working with older adults, to provide an overview of possible ways technology could help this population in the current COVID-19 pandemic.
Findings:
Technological advancements have offered remarkable opportunities to deliver care and maintain connections despite the need to stay physically separated. These tools can be integrated into crisis communications, public health responses, and care programs to address loneliness among the elderly. However, it must be done strategically and informed by the type of loneliness at play, environmental factors, socioeconomics, and technological literacy.
Originality:
Technological advancements can be a valuable tool in addressing known public health concerns, such as loneliness among the elderly populations. However, the use of this tool should be governed by the specific situation at hand, taking into consideration individual needs and environmental factors, especially the compounded effects caused by the coronavirus pandemic. Different technological programs and approaches are appropriate for different types of loneliness. For example, online therapy such as internet-based cognitive behavior therapy may mitigate loneliness caused by fear; online interaction such as videoconferencing may relieve loneliness caused by lack of social engagement.
Practical implications:
Care-providing organizations and policy makers should consider the risk of loneliness while responding to COVID-19 outbreak, particularly within elderly populations. As part of a broader plan, technological solutions as well as low-tech approaches can make a difference in mitigating loneliness. Solutions should be accessible to and usable by older adults. Provision of equipment, training, and guidance may be necessary to execute a technology-centric plan; for some communities and individuals, approaches that do not rely on advanced technology may be more effective.
Keywords: technology, resilience, loneliness, mental health, older people, COVID19
Plain Language Summary
During pandemics requiring physical distancing (‘social distancing’), technology may help alleviate loneliness among elderly people when implemented according to the patients’ specific needs and circumstances.
Introduction
Since the outbreak of coronavirus disease–2019 (COVID-19), the initial public health response for elderly populations has been focussed on reducing community spread and increasing physical distance (‘social distancing’). Aiming to reduce exposure and alleviate pressure on healthcare facilities, these measures manifested as stay-at-home orders, temporary closures of non-essential businesses, cancellation of social activities and events, and limited-to-no visitation permitted in living facilities such as nursing homes. This response may have created a decrease in resilience and an increase of social isolation and loneliness among the elderly population (Patel and Clark-Ginsberg, 2020). Prior to the pandemic, loneliness has been a known severe public health concern among this vulnerable population, also affecting their use of health care resources (Gerst-Emerson and Jayawardhana, 2015).
Given the known correlations between loneliness, disease, and mortality (Rico-Uribe et al., 2018), the impact of physical distancing measures on loneliness must be factored into the equation in public health responses. The elderly are also particularly vulnerable for other factors that could increase loneliness, such as 47.5% of those above 75 years of age live with at least one disability in America (U.S. Census Bureau, 2018a) and only 28.2% of people above 65 years of age have a bachelor’s degree or higher (U.S. Census Bureau, 2018b). Both lower education and disability can contribute to risk of loneliness (Yanguas et al., 2018). The older population are also at high risk of contracting COVID-19 and progressing to a life-threatening state (Ritchie, 2020). For example, in a recent study of primary care records of 17,278,392 British adults, Williamson et al. (2020) found that increasing age was strongly associated with risk of death due to coronavirus (e.g. UK patients older than 80 years old were found to be 20 times more likely to die from COVID-19 than those UK patients between 50 to 59 years old). To protect vulnerable populations from a dangerous disease like COVID-19, physical distancing is necessary; to better protect them from both COVID-19 and other health risks, physical distancing must be accompanied by other interventions to prevent or alleviate loneliness and to continue to provide healthcare for other conditions.
As the COVID-19 pandemic continues, practitioners and organizations aiming to serve the elderly population will need to adapt their services and interventions according to new medical guidelines and requirements. The need for technological tools to alleviate the detrimental effects of isolation should not be considered as the sole response. The need for safe and responsible in-person interaction will continue to be a mitigating factor in combating isolation. Technological advancements can be a valuable tool in addressing known public health concerns, such as loneliness. However, the use of this tool should be governed by the specific situation at hand, taking into consideration individual needs and environmental factors. The aim of this paper is to discuss the practicalities of using emerging technologies to address elderly loneliness and its implications and adaptations to the COVID-19 pandemic.
Loneliness and COVID-19
Whilst many studies have communicated the biological and psychological underpinnings of loneliness in the elderly and proposed a multitude of interventions, it remains unclear how to address the issue during these times of physical distancing and coping with uncertainty. Studies have shown that social disconnectedness predicted significantly higher depression and anxiety symptoms (Newman and Zainal, 2020) It is therefore imperative to evaluate interventions and consider alternative approaches, such as cultural and holistic ones to better understand the root causes of social disconnectedness and loneliness.
Loneliness, already at epidemic proportions among the older adult population globally (Berg-Weger and Morley, 2020), is also multifaceted and complex. There are multiple causes of loneliness, different types of loneliness, and diverse factors that affect loneliness, such as economic status, living arrangements, familial ties, accompanying health conditions, and surrounding infrastructure. Interventions aimed at mitigating loneliness should take into consideration these variables, including during times of physical distancing, especially if using disaster risk reduction interventions (Clark-Ginsberg and Patel, 2020).
As such, it may be worthwhile to undertake a preliminary assessment that would include (1) determining the type of loneliness for the population of interest (2) performing a needs assessment, including holistically identifying factors that could protect or harm, and (3) assessing the overall ecosystem to effectively determine which intervention would be most impactful. Determining the type of loneliness will involve making a distinction between (a) social loneliness and (b) emotional loneliness. Whilst social loneliness alludes to the negative feelings resulting from absence of social integration, emotional loneliness alludes to the perceived lack of an attachment figure (Hawkley and Cacioppo, 2010).
There is likely to be an increasing emergence of social loneliness due to the current pandemic and the physical distancing measures. This type of loneliness could be exacerbated by other variables aside from a reduction in social activity. Social loneliness may be a manifestation of a diminished capacity for self-regulation owing to increased and subconscious surveillance for social threat (Hawkley and Cacioppo, 2010). Loneliness is also associated a reduction in effort to maintain positive emotions (Hawkley and Cacioppo, 2010). During the current pandemic, a plethora of information and uncertainty about the virus and responses to it are further propagated by the media. Income, education, and disability statuses are also some of the known predisposing factors that can affect mental health and fuel the feeling of loneliness (WHO, 2014). Creating a sociodemographic profile to identify any such correlations or, perhaps, causations would provide insights as to whether there are any implications of traditional and digital media and technological tools in shaping behaviour patterns. An environmental evaluation will enable an understanding of the possible impact of external factors such as residential complex, governmental regulations etc.
Understanding the context of the elderly community and implications of COVID-19 in this community will govern the type of intervention to adapt and deploy whether it be (1)_generalized digital health-promoting interventions that involve health messaging with translational services to track, monitor, and inform mental health or/and merely enhance online social presence and network, (2) integration of technology and behaviour-based interventions such as online reminiscence theory or online cognitive behaviour therapies which focus more on changing biased perceptions, or (3) macro-level policy changes in health systems that offer proactive and supplementary targeted support for vulnerable populations.
Interventions and technology
Loneliness associated with reduction of social contact and activity
If the problem at hand is the deprivation of social contact due to physical distancing measures, it may be optimal to use rudimentary telecommunication methods to improve social skills, social support and online interactions through telephone or video conferencing depending on access to and literacy in digital resources and assistive technology (Faife, 2007, Fitzsimons, 2010, McCaig et al., 2012). The absence of normal social activities affects elderly adults in multiple ways, beyond just the loneliness caused by lack of social interaction. Disruptions of routines, such as attending a daily or weekly exercise session, may cause a loss of structure in general and impact medication schedules, self-care, hygiene, hydration, and sleep – all of which may further exacerbate loneliness and other health problems (David, 2020). Both social interaction and the re-establishment of some routines could be assisted by technology.
Video conferencing apps (such as Facetime) and services (such as Zoom) have grown in popularity during the COVID-19 pandemic, for both business and social activities. To address loneliness, these programs can be used in place of previous in-person visits from friends, family, and volunteers. Online group meetings could be orchestrated through video conferencing programs, as well. Group online activities, such as “attending” a spiritual service (Rote et al., 2013), yoga (Belam, 2020, Louie, 2014) or playing an online game (Nguyen et al., 2017) or new music technology (Court-Jackson, 2011), may decrease feelings of loneliness while also providing cognitive stimulation and routine.
Additional technological innovations, such as a one-touch computer for the technologically illiterate (Abrams, 2020) and the Nextdoor app which facilitates assistance to neighbours (Campaign to End Loneliness, 2020), have emerged during this time of physical distancing. The Campaign to End Loneliness (2020) urges friends, family, and neighbours to call the elderly individuals in their life regularly to check in, and encourages use of WhatsApp groups, Facebook and Twitter to stay in touch and generate social networks. These resources can help elderly people feel more connected, cared for, and secure.
Loneliness associated with increased perception of threat
If the loneliness is a manifestation of perceived threat or fear it may be more beneficial to use psychosocial approaches and one-on-one sessions with professionals. This loneliness could be rooted in an increased perception of isolation brought on by the general societal focus on activity restrictions and physical distancing. Feeling overwhelmed by the uncertainty, the indeterminate duration of the situation, and frightening reports in the media, along with feeling like there’s no one to talk to, may also increase sensations of loneliness. Psychologically rooted loneliness fuelled by COVID-19 could also stem from unnecessary additional self-isolation out of fear of contagion.
With this type of loneliness, the impact of psychosocial approaches and therapies have been shown effective (Hawkley and Cacioppo, 2010). Cognitive behaviour therapy (Masi et al., 2011), cognitive enhancement programs (Winningham and Pike, 2007), mindfulness-based stress reduction (MBSR) (Creswell et al., 2012), are a few examples of interventions that are traditionally carried out in person to mitigate feelings of loneliness. There has been some indication that these programs are also effective when administered digitally, such as through a smartphone app (Tsai et al., 2020) and internet-based cognitive behavioural therapy on a computer (Käll et al., 2020). There is potential for technological adaptation of other approaches, such as mindfulness-based stress reduction, as patients receiving these interventions are often asked to practice at home; once the skills are learned, they can be practiced independently.
Advancements in privacy protections for videoconferencing programs like Zoom and Cisco Webex also create opportunities for the continuation of one-on-one specialist sessions. Greater confidence in using these programs for health purposes via telehealth services may be achieved by employing digital versions that meet governmental and medical privacy regulations, such as HIPAA. Medical practitioners should also recognize the need for their patients to be able to see them in this virtual setting. Investment in telemedicine should include camera-ready equipment, and physicians must be willing to use it with an understanding the importance of this visual connection can mean to their elderly population.
The barrages of information on television, the internet, and other channels can be overwhelming and an instigating factor in threat-based loneliness. These same media channels can also help to mitigate it along with improving access to information which could reduce the social exclusion (Hislop, 2010). Some elderly people have a sense of solidarity from hearing that others are going through the same things, whether phsyical distancing or worrying about the disease. This experience of togetherness helps them feel less alone (David, 2020). Additionally, offering authoritative information sources, such as a healthcare app run by a trusted medical organization, could help to tune out the noise and feel more secure in obtaining facts and guidance. Behind the scenes, technology can be used to determine how media is affecting mental and behavioural health, while also identifying the best channels to provide information and support (Call, 2020).
Considerations for implementation
None of these technology-based interventions are effective if the elderly do not know how to use them, do not want to use them, or are not able to obtain them. Assistance (and patience) from family, caregivers, or volunteers to set up resources, such as video calling, and teach their elderly person how to use it may be an essential first step in many cases. Organizations, such as assisted living facilities or healthcare centres, could also offer the service to help coordinate online social schedules. For instance, they could ask family members to have a video call at a certain time each week, or create online social activities for groups of residents. Community-based approaches and social connections can help improve technology adoption and reducing feelings of loneliness and social disconnectedness (Barke, 2017).
With poorer people typically suffering more under COVID-19 (United Nations, 2020) and facing greater degrees of loneliness (Trad et al., 2020), accessibility to devices like smartphones must be taken into consideration. Focusing on loneliness interventions that require expensive equipment may miss a significant portion of the target population. Likewise, many services currently aimed at mitigating loneliness depend on electricity and internet – and a high bandwidth at that. Developing countries and rural areas, in particular, may not have the infrastructure to support video calls over the internet. In these cases, loneliness interventions should be conceptualized according to the infrastructure and economic capacity of the people they’re intended to reach. Regular landline phone calls, for example, may have to replicate some of the information and engagement services that are available through apps and websites.
Another way to overcome the access barrier may be to provide technology to elderly people, whether through health insurance programs, government programs, or living facilities. For example, an inexpensive device optimized for video conferencing could be provided to people identified as at risk for loneliness. If such a device were designed to be intuitive and simple to use – pre-loaded with a small number of programs like video conferencing and healthcare resource apps – it could greatly increase the efficacy of efforts to reach vulnerable populations through these programs. Of course, with the pandemic already causing financial strain, such provision of technology may be unfeasible for governments and healthcare providers. With a strong plan outlined, organizations could ask donors to support their efforts to address elderly loneliness during such challenging times.
Ultimately, policy changes on a state or nation-wide level are recommended to ensure continued and sustained care for those more severely impacted by the pandemic. For example, behavioural health resources could be integrated as a key component of crisis communication and medical response. Technology could also be used to assess and identify high-risk populations in order to better target funds and resources; modelling and data analytics can identify at-risk groups and can also predict the best communication channels for reaching these groups (Call, 2020).
Conclusion
While healthcare providers and citizens continue to grapple with the COVID-19 pandemic, concern for the quality of life and health of elderly populations must remain a priority. Despite the irrefutable need to enact strict measures such as physical distancing to “flatten the curve” and protect the most vulnerable from the disease, these measures can have detrimental side effects. Particularly in a long-term pandemic like this one, caregivers must find ways to address loneliness and deliver the same quality of medical care during this “new normal.”
Technological advancements have offered remarkable opportunities to deliver care and maintain connections despite the need to stay physically separated. These tools can be integrated into crisis communications, public health responses, and care programs to address loneliness among the elderly. However, it must be done strategically and informed by the type of loneliness at play, environmental factors, socioeconomics, and technological literacy. Taking these elements into consideration will help decision makers develop a strong, effective approach.
Importantly, while technology is a key piece to addressing loneliness during the COVID-19 pandemic, it cannot be the sole solution. Meal delivery volunteers, police patrol volunteers, and other community volunteers should be engaged to provide in-person, physically distanced, “doorway” visits to provide an on-going sense of community involvement and a “real” connection to other people. Low-tech solutions like phone calls and printed literature will still be necessary alongside new creative approaches to most effectively serve the older population. As one of the tools in the toolbox, technological advancements have already helped to address loneliness; hopefully, greater attention to the problem of loneliness will inspire new ideas for incorporating and developing new technology for the elderly.
Acknowledgment:
The authors would like to thank Dr. Aaron Clark-Ginsburg, Lucas Chu, Ben Wei, Krysia Lenzo and colleagues at Harvard University, Coronavirus Visualization Team, the COVID Foundation, Harvard in Tech and AgingNext for their contributions.
Funding
SSP was supported by the Fogarty International Center and National Institute of Mental Health, of the National Institutes of Health under Award Number D43 TW010543. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health or any institution.
Footnotes
Conflict of interests: The authors declare that they have no conflict of interest.
References
- Abrams MK, Williams RD II, Tikkanen R, Shah T, Pantell M (2020), “Solutions from Around the World: Tackling Loneliness and Social Isolation During COVID-19.”, The Commonwealth Fund, available at: https://www.commonwealthfund.org/blog/2020/solutions-around-world-tackling-loneliness-and-social-isolation-during-covid-19 (accessed July 9, 2020)
- Barke J (2017), “Community-based research and approaches to loneliness prevention”, Working with Older People, Vol. 21 No. 2, pp. 115–123. [Google Scholar]
- Belam G (2020), “Yoga as an intervention for older peoples mental health: a literature review”, Working with Older People, Vol. ahead-of-print No. ahead-of-print.
- Berg-Weger M and Morley JE (2020), “Loneliness and Social Isolation in Older Adults during the COVID-19 Pandemic: Implications for Gerontological Social Work”, The journal of nutrition, health & aging, Vol. 24 No. 5, pp. 456–458. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Call G (2020), “COVID-19 and Social Isolation Puts Elderly at Risk for Loneliness”, Journal of AHIMA, available at: https://journal.ahima.org/covid-19-and-social-isolation-puts-elderly-at-risk-for-loneliness/ (accessed July 9, 2020)
- Campaign to End Loneliness (2020), “Coronavirus and social isolation”, available at: https://www.campaigntoendloneliness.org/blog/coronavirus-and-social-isolation/ (accessed July 9, 2020)
- Clark-Ginsberg A and Patel SS (2020), “How DRR can help reduce elderly loneliness”, United Nations Disaster Risk Reduction’s PreventionWeb available at: https://www.preventionweb.net/experts/oped/view/71644 (accessed July 9, 2020)
- Court-Jackson A (2011), “Don’t stop the music: why it is important that the over 55s stay abreast of new music technology”, Working with Older People, Vol. 15 No. 1, pp. 19–25. [Google Scholar]
- Creswell JD, Irwin MR, Burklund LJ, Lieberman MD, Arevalo JMG, Ma J, Breen EC and Cole SW (2012), “Mindfulness-based stress reduction training reduces loneliness and pro-inflammatory gene expression in older adults: a small randomized controlled trial”, Brain, behavior, and immunity, Vol. 26 No. 7, pp. 1095–1101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- David E (2020), “The unspoken COVID-19 toll on the elderly: Loneliness”, ABC News, available at: https://abcnews.go.com/Health/unspoken-covid-19-toll-elderly-loneliness/story?id=69958717 (accessed July 9, 2020)
- Faife D (2007), “The role of assistive technology in achieving dignity, equality and respect”, Working with Older People, Vol. 11 No. 2, pp. 20–23. [Google Scholar]
- Fitzsimons P (2010), “Dialling up social care for older people”, Working with Older People, Vol. 14 No. 3, pp. 10–14. [Google Scholar]
- Gerst-Emerson K and Jayawardhana J (2015), “Loneliness as a public health issue: the impact of loneliness on health care utilization among older adults”, American journal of public health, Vol. 105 No. 5, pp. 1013–1019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hawkley LC and Cacioppo JT (2010), “Loneliness matters: a theoretical and empirical review of consequences and mechanisms”, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine, Vol. 40 No. 2, pp. 218–227. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hislop C (2010), “Improving access to information: a key requirement for reducing social exclusion”, Working with Older People, Vol. 14 No. 4, pp. 38–43. [Google Scholar]
- Käll A, Jägholm S, Hesser H, Andersson F, Mathaldi A, Norkvist BT, Shafran R and Andersson G (2020), “Internet-Based Cognitive Behavior Therapy for Loneliness: A Pilot Randomized Controlled Trial”, Behavior Therapy, Vol. 51 No. 1, pp. 54–68. [DOI] [PubMed] [Google Scholar]
- Louie L (2014), “The Effectiveness of Yoga for Depression: A Critical Literature Review”, Issues in Mental Health Nursing, Vol. 35 No. 4, pp. 265–276. [DOI] [PubMed] [Google Scholar]
- Masi CM, Chen H-Y, Hawkley LC and Cacioppo JT (2011), “A meta-analysis of interventions to reduce loneliness”, Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc, Vol. 15 No. 3, pp. 219–266. [DOI] [PMC free article] [PubMed] [Google Scholar]
- McCaig M, Waugh A, Duffy T and Martin Colin R (2012), “The lived experience of older people using assistive technology”, Working with Older People, Vol. 16 No. 4, pp. 170–174. [Google Scholar]
- Newman MG and Zainal NH (2020), “The value of maintaining social connections for mental health in older people”, The Lancet Public Health, Vol. 5 No. 1, pp. e12–e13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nguyen TTH, Ishmatova D, Tapanainen T, Liukkonen TN, Katajapuu N, Makila T and Luimula M (2017), “Impact of serious games on health and well-being of elderly: a systematic review”, Proceedings of the 50th Hawaii International Conference on System Sciences, available at: https://scholarspace.manoa.hawaii.edu/bitstream/10125/41605/paper0456.pdf (accessed July 9, 2020) [Google Scholar]
- Patel SS and Clark-Ginsberg A (2020), “Incorporating issues of elderly loneliness into the COVID-19 public health response”, Disaster Medicine and Public Health Preparedness, pp. 1–3. [DOI] [PMC free article] [PubMed]
- Rico-Uribe LA, Caballero FF, Martín-María N, Cabello M, Ayuso-Mateos JL and Miret M (2018), “Association of loneliness with all-cause mortality: A meta-analysis”, PLOS ONE, Vol. 13 No. 1, p. e0190033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ritchie H, Ortiz-Ospina E, Beltekian D, Mathieu E, Hasell J, Macdonald B, Giattino C, Roser M (2020), “Mortality Risk of COVID-19 - Statistics and Research”, available at: https://ourworldindata.org/mortality-risk-covid (accessed July 9, 2020) [DOI] [PMC free article] [PubMed]
- Rote S, Hill TD and Ellison CG (2013), “Religious attendance and loneliness in later life”, The Gerontologist, Vol. 53 No. 1, pp. 39–50. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Trad NK, Wharam JF and Druss B (2020), “Addressing Loneliness in the Era of COVID-19”, in JAMA Health Forum, Vol. 1, pp. e200631–e200631. [DOI] [PubMed] [Google Scholar]
- Tsai H-H, Cheng C-Y, Shieh W-Y and Chang Y-C (2020), “Effects of a smartphone-based videoconferencing program for older nursing home residents on depression, loneliness, and quality of life: a quasi-experimental study”, BMC Geriatrics, Vol. 20 No. 1, p. 27. [DOI] [PMC free article] [PubMed] [Google Scholar]
- U.S. Census Bureau (2018a), “ 2018 Disability Characteristics: American Community Survey 1-Year Estimates (Table ID: S1810)”, available at: https://data.census.gov/cedsci/table?q=Disability&tid=ACSST1Y2018.S1810&vintage=2018&t=Disability&hidePreview=true (accessed July 9, 2020)
- U.S. Census Bureau (2018b), “ 2018 Population 65 Years and Over in the United States: American Community Survey 1-Year Estimates (Table ID: S0103)”, available at: https://data.census.gov/cedsci/table?q=elderly&hidePreview=false&tid=ACSST1Y2018.S0103&vintage=2018 (accessed July 9, 2020)
- United Nations (2020), “Impacts of COVID-19 disproportionately affect poor and vulnerable: UN chief”, UN News, available at: https://news.un.org/en/story/2020/06/1067502 (accessed July 9, 2020)
- WHO (2014), “Social determinants of mental health”, World Health Organization, available at: https://apps.who.int/iris/bitstream/handle/10665/112828/9789241506809_eng.pdf?sequence=1 (accessed July 9, 2020) [Google Scholar]
- Williamson EJ, Walker AJ, Bhaskaran K, Bacon S, Bates C, Morton CE, Curtis HJ, Mehrkar A, Evans D, Inglesby P, Cockburn J, McDonald HI, MacKenna B, Tomlinson L, Douglas IJ, Rentsch CT, Mathur R, Wong AYS, Grieve R, Harrison D, Forbes H, Schultze A, Croker R, Parry J, Hester F, Harper S, Perera R, Evans SJW, Smeeth L and Goldacre B (2020), “OpenSAFELY: factors associated with COVID-19 death in 17 million patients”, Nature. [DOI] [PMC free article] [PubMed]
- Winningham RG and Pike NL (2007), “A cognitive intervention to enhance institutionalized older adults’ social support networks and decrease loneliness”, Aging & Mental Health, Vol. 11 No. 6, pp. 716–721. [DOI] [PubMed] [Google Scholar]
- Yanguas J, Pinazo-Henandis S and Tarazona-Santabalbina FJ (2018), “The complexity of loneliness”, Acta bio-medica : Atenei Parmensis, Vol. 89 No. 2, pp. 302–314. [DOI] [PMC free article] [PubMed] [Google Scholar]
