Online health communities

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Online health communities are online social networks related to health. They primarily provide a means for patients and their families to learn about illnesses, to seek and offer social support, and to connect with others in similar circumstances. These online groups can be composed of individuals with illnesses, groups of medical professionals with shared interests, non-professional caregivers and family of patients, or a combination. [1] The term "online health community" is primarily academic jargon.

Contents

Changes in the health care system coupled with increased infiltration and use of the Internet have resulted in heavier reliance on the Internet for disease and health education. Eighty percent of American adult Internet users currently go online to find health care information for themselves and their loved ones, with health searches one of the most popular uses of the Internet. [2] Furthermore, 1 in 4 of people with an illness have gone online to find other people who share similar experiences. [3]

Individuals access these communities searching for a variety of resources. Existing medical and health websites, such as WebMD and Health Cloud, [4] have recognized that they will have more visitors if they offer interactive community features such as discussion or Internet forums. Depending on the specific community, patients and medical professionals are able to engage in behaviors such as sharing their illness experiences, exchange knowledge, and increase disease-specific expertise. [1]

Even more, these online communities provide users with a breadth of social resources that may be directly beneficial to their health. These communities have been particularly useful in providing emotional and informational support to those with various illnesses such as cancer, [5] HIV/Aids, [6] infertility, [7] diabetes, [8] and other rare illnesses. [9] [10]

These communities are distinct from general online communities in that they focus exclusively on health-related topics for those currently navigating the world of diseases, illness, and medicine. Furthermore, they also differ from other health-related sites that only allow users to retrieve information. The main hallmark of these communities is that they allow for communication between multiple people. That said, they can take a variety of forms, and vary drastically in their scope.

History

With the invention of email for ARPANET in 1972, communication through a computer to distant geographies became substantially easier. Listservs, which allow a multitude of respondents to interact with an email thread and Bulletin Boards, an online representation of the community bulletin boards commonly found on campuses, were introduced contemporary with one another. These three tools along with USENET provided the tools for rudimentary online communities to begin to coalesce around health related topics.[ citation needed ]

In 1991 CERN labs introduced the World Wide Web, allowing a more graphical representation of the topic to be discussed. This change lessened barriers to communication and enhanced community building. For example, the growth potential from linear to geometric was made possible through this change primarily because audiences could access static content more easily without the author's knowledge or synchronicity in time. Furthermore, the graphical nature of the World Wide Web made the exchange of medically relevant information more easily possible. Lastly, the widespread use of the World Wide Web in PC's made during the mid-1990s made the technology available to a much wider audience than previous technologies. By 1997, the World Wide Web was the predominant medium for ad hoc online health communities to form.[ citation needed ]

Even more, with the evolution of Web 2.0 functionality and Internet penetration during the 2000s, web-based programs became increasingly utilized as a mechanism by which to incorporate social, interactive, and guided behavior change processes. Many of these behaviors for patients and medical providers increasingly centered around the exchange or health-based information.[ citation needed ]

As these communities emerged, more and more research was conducted assessing their benefits, complications, and other features. Much of this research has supported their beneficial aspects. As a result of these benefits, medical health organizations increasingly began including online health communities as part of their patient support services. Examples of these organizations include Kaiser Permanente, Johns Hopkins, Cleveland Medical Center, and MD Anderson Cancer Center. [11] Currently, online health networks run by both private companies, public hospitals, and even decentralized social groups are a regular part of the illness experience for many individuals.[ citation needed ]

Beneficial Outcomes

The importance of online health communities is evidenced by their popularity, as well as the significant impact they have on the lives of their members. That said, there is limited consensus on best practices in online health community design, and research on the benefits of online health communities is slightly limited. Despite that lack of extensive research on its benefits, there are still many situations where online health communities appear to aid patients and medical professionals. Additionally, many of these benefits are seen within specific illnesses, and are most beneficial for certain individuals, and would be otherwise unattainable outside of the context of online health communities. [12]

Psychological benefits

There are multiple psychological constructs that are shown to benefit from online health communities. This list identifies various beneficial outcomes from the most frequently studies constructs.[ citation needed ]

Social support

Across a variety of chronic and acute illnesses, online health communities have shown a positive effect on social support. [9] This support can be beneficial to patients in a number of ways, such as helping them adjust to the stress of a particular condition. [13] Support is also a consistent indicator of survival for many conditions. [14] Patients interact with others in online health communities in a number of different ways. As a result, various types of social support occur in communities. When users are seeking advice, education, or referrals about a certain condition or experience, they receive informational support. Alternatively, when users are seeking things like encouragement, empathy, affirmation, or validation, they receive emotional support. Finally, when users are engaging in behaviors such as chatting or humor, they receive support in the form of companionship. [15]

Disease knowledge

Patients who utilize online health networks often experience increases in knowledge specific to the disease or condition that they are dealing with. [16] This increased disease knowledge can help patients make more informed decisions about their health.[ citation needed ]

Perceived empathy

Patients show increased perceptions of empathy as a result of information seeking behavior on online health communities. [11] In general, perceptions of empathy are shown to have potential benefits for impacting the success of health care treatment, as well as the healing process. [17] Furthermore, traditional medical provider empathy is costly and time-consuming. Perceptions of empathy from online health communities can act as a feasible replacement for provider empathy.[ citation needed ]

Behavioral benefits

Online health communities not only can have psychological benefits, but they can also have benefits for health behaviors.[ citation needed ]

Treatment adherence

Patients who use online health communities may also see increased adherence to health treatments. Given the resources such as social support that these communities provide, they are more able to manage the tasks and responsibilities that their treatment requires. [18]

Self management

Traditionally, patients are not well-equipped to manage their own illnesses. The resources that online health communities provide cut down on the need for in-person visits with medical professionals and allow patients to address many low level health issues on their own. [1]

Institutional benefits

Beyond the effects that online health communities can have on specific psychological and behavioral outcomes in various illnesses, there are several other broad benefits that they can provide to the institution and structure of health care.[ citation needed ]

Interdisciplinary collaboration

For medical professionals, online health communities can be valuable tools to help foster interdisciplinary collaboration across various institutions. This collaboration can help medical professionals provide more diverse and beneficial care to patients. [1]

Medical professional knowledge

In online health communities composed of medical professionals, participation can lead to increased exchange of medical information, as well as the adoption of disease specific knowledge that can be used to inform treatment and other medical decisions. [1]

Patient centered care

Patient centered care is a health care strategy that is focused on engaging patients to become more active participants in their health care. [19] The use of this strategy has shown to improve the efficiency of care, patient-doctor communication, treatment compliance, health outcomes, and decrease overall health care utilization. [1] Through improved access to personalized information, patient participation, and emotional support, online health communities promote patient centered care practices. [1]

Health care utilization

At current rates, the number of patients who need specialized health care is growing more rapidly than the supply of well-trained professionals who can address these needs. [20] As a result, current utilization rates of health care resources is much higher than is manageable. However, implementations of online health communities are shown to result in a reduction of traditional in-person health care utilization. [21]

Health care cost

In parallel with increased health care utilization, the cost of providing health care also continues to rise and may become unaffordable as a result of advancement cost and over treatment. [22] [23] Similarly, implementations of online health communities have resulted in both health care cost reductions. [21]

Illness benefits

There are a wide variety of online health communities. Some of these communities target vary specific conditions, while other are more open ended. That said, patients with certain conditions are shown to specifically benefit from these communities. Broadly, patients with conditions that are more rare or severe may garner stronger benefits given that the online health communities can provide resources they would likely not get elsewhere. More specifically, benefits of these communities have been seen in a variety of conditions such as cancer, [5] HIV/Aids, [6] infertility, [7] diabetes, [8] and other rare illnesses.

Who benefits most?

While online health communities can provide general benefits. There are also particular individuals who may benefit most from them. In particular, online health communities are especially beneficial when they are used in a way that allows for connections and resources that would otherwise be unavailable. For example, while members of an online health community may know one another, a real strength and benefit of them is that they can connect people who would have otherwise been unable to do so. There are certain individuals who may have smaller in-person networks who can adequately address their medical needs. Therefore, for these individuals, online health networks may be particularly beneficial. Specifically, the availability of online health communities is especially appreciated by individuals with impaired mobility, potentially embarrassing medical conditions, or caretaker responsibilities that may prohibit them from receiving adequate face-to-face medical and emotional support. [24]

Beyond this, there are several factors that have been identified for evaluating patient experiences with online health communities and evaluating who they benefit. The four main dimensions that contribute to a patient's experience with online health communities include: pragmatic, empathic, sociability, and usability. The pragmatic dimension refers to the goals of a user, and if the use of the community aids achievement of those goals. The empathic dimension refers to the feelings and emotions of empathy that are felt when interacting with the community. The sociability dimension refers to the overall social experience that a patient feels when interacting with the community. Finally, the usability dimension refers to the experience a patient has when navigating the features of the community. Together these features can help identify for which patients and on what platforms the largest benefits will be seen. [25]

Complications

Despite the benefits that online health communities may provide, there are also several complications that they may pose.

Misinformation

Given that one of the primary uses of online health communities is the exchange of health information between untrained individuals. In many cases, people do not use the best judgment when sharing and relying on information in online communities, but the consequences of poor information depends on what the information is and how it is used. Medical information can have grave consequences when poor advice is taken or is erroneously applied; or when professional treatment is not sought. [24] The criticality of health-related information necessitates careful consideration of how to design for usability and sociability. Furthermore, patients and their families may be under stress and the emotional burden, which can diminish health literacy, necessitates more careful design and evaluation. In addition, disease and illness have no boundaries, and participants in online health communities can vary considerably in their medical expertise, health literacy, and technological literacy, as well as in their need for education and support about a disease or condition. To combat misinformation in these communities, some communities have incorporated health experts to moderate content for accuracy. While such steps may be beneficial, they also hold their own implications for community dynamics. [26]

Trust and safety

The sharing of any personal information within a community is often impacted by the level of trust those community members have for each other. Distributing personal information can have many consequences if it is not handled properly. Not only does it decrease ones security, but it can also threaten their safety. In in-person communities, trust is often predictably built over time, and can lead to the open exchange of valuable personal details that can facilitate the exchange of support and other resources. However, in online health communities, many individuals do not know each other personally, and also perceive their health information as a very personal and private subject. For people to receive the benefits discussed previously, they need to over come this barrier in online health networks and build a strong feeling of trust. Within these networks, potential factors that contribute to feelings of cognitive and affective trust include perspective taking, self-efficacy, and network density. [27]

Adoption and engagement

There has been a wide and rapid adoption of online health communities from patient populations. However, some of the greatest benefits are realized when these communities also are utilized by medical professionals. For patients, there is a clear incentive to increase information, support, and care through these communities. However, there is less of an incentive for medical providers to participate. Doctors can be slow to adopt technologies that deviate or disrupt their regular patterns for providing care. The additional time and responsibility commitments and significant barriers to adoption of these communities for medical providers. [1] [28]

Furthermore, a common issue with online health communities is a lack of engagement from those with medical conditions, even after they have decided to adopt the technology. Users often don't feel they have an obligation to share or create new content, even if they consume content from other individuals. Two major reasons for this behavior are (1) a lack of social responsibility to contribute, and (2) concern about how other may perceive them if they did decide to contribute. [29] Several options for addressing this are shown to be effective. For example, if people are paired with an online "buddy" as part of the larger community, they are more likely to contribute as it can help give a larger sense of social responsibility. [30] Nevertheless, driving adoption and engagement is a major hurtle for many online health communities.[ citation needed ]

Accessibility

For the benefits of online health communities to accrue, systems must be developed that are accessible, welcoming, easy to navigate and use, and able to help members discern information quality and interact with other participants in meaningful ways. The successful design of such systems will be facilitated by collaborations among clinicians, informed designers, and patients. Health professionals and patients can help explain the physical and emotional stages that individuals go through once they are diagnosed with a particular disease. Furthermore, health professionals understand the risks of misinformation and the role that health care providers need to play. Patients understand the practical information about coping with a disease and the importance of social support and empathy. Designers and developers are needed to understand and explain the technological options available to online health communities and the implications of specific design choices. Such collaborations are needed to explore topics on which there seems to be no prevailing wisdom, such as how the nature of the disease or illness impacts the online health community design; how to improve health literacy; and which of the many collaborative technologies that are available best support peer interaction. Finally, it is important to track and evaluate new technologies, such as Web 2.0, to understand when and how to deploy technologies that assist in and improve peer health communication. At the same time, access and effective use by others may be restricted due to cultural, language, and other issues.[ citation needed ]

Participation

An obvious factor for any online community is managing user participation, engagement, and behavior. Different people have different experiences with online health communities, which can lead to differing impacts and implications. Some individuals show high engagement, while others are more passive in their use (lurkers). Understandably, individuals who showed much higher levels of engagement reap the highest benefits in outcomes such as emotional support, help giving, and emotional expression. [31] That said, even lurkers can see some beneficial level of peer support from the online communities. [31]

Beyond the extent to which people participate in these communities, there is also a distinction in the type of engagement that is seen by those who actively participate. Some individuals more frequently share general health information such as hospital information, drug side effects, and health behaviors. Whereas, other individuals choose to share more specific knowledge such as their private health information. Private information can be more valuable for other patients. However, it is also much more difficult to share than general knowledge. Regardless of the type of knowledge being shared, reputation, social support and sense of self-worth all were associated with more sharing. Furthermore, face concern, which is the extent to which a person values the protection and improvement his or her positive social image, [32] promotes general knowledge sharing and inhibits private sharing. Emotions, time, and effort are some of the largest barriers to providing private knowledge. [33] Beyond these factors, there are also various other structural factors that may impact community participation and engagement.[ citation needed ]

In some online health communities, health experts are incorporated as moderators in order to provide people with accurate clinical knowledge. [26] Inclusion and participation from moderators can help create a more empathic community culture. However, the inclusion of moderators can also give users feelings of inequality if posts do not receive equal responses. In addition, determining which post need clinical expertise, and which would suffice with community expertise is not an easy task, and can cause further issues. From this, when users do receive a response it can mislead them about what kind of consultation they are receiving. [26]

While moderators are often put into place to help guide the conversation and flow of information in these communities, there are also users that occasionally adopt this role naturally. These influential users have accumulated the power to drastically influence other users and the community as a whole. [34] For example, influential users can help build and manage a community, provide marketing, initiate community driven campaigns, and disseminate information. [35]

While these factors help explain the experience and participation of users during a very particular point in their lives, there are also several factors to consider about the experience of patients who stop using or participating in these communities over time. Based on the benefits that these communities can offer, removing yourself from them could stifle the beneficial effects. There are numerous reasons for why someone might stop participating in a community, such as a lack of need, a poor experience, or a failure of a sites design. However, some argue that oftentimes these situations are caused by a logical progression of life changes as a given person's experience with his or her condition evolves. [36] Regardless of the reasons for leaving, both the participation and non-participation of a communities members is a very important factor to consider, as it has strong implications for the overall success of the community.[ citation needed ]

Forms

As mentioned previously, these communities are distinct from general online communities in that they focus exclusively on health-related topics for those currently navigating the world of diseases, illness, and medicine. Furthermore, they also differ from other health-related sites that only allow users to retrieve information. The main hallmark of these communities is that they allow for communication between multiple people. That said, they can take a variety of forms, and vary drastically in their scope.[ citation needed ]

These online health communities can be formed across numerous different types of communication platforms such as blogs, chats, forums, wikis, and social media sites. As long as people are able to communicate with each other over the internet about medical conditions, any given communication platform can be used to create an online health community. Beyond the platform used, communities can also vary in terms of how open and accessible they are. Some communities are open and public to anyone who is interested, while others are very private. Furthermore, some communities focus on multiple conditions, while other focus primarily on one. Finally, the target user population can also differ between networks. For example, some communities are targeted towards older adults, while others are exclusively for adolescents.[ citation needed ]

Features

In terms of functionality, there are several primary features that most online health communities possess. The primary feature that most online health networks have are those that support social learning and networking. Communication is at the core of these communities. This communication can take the form of both one-to-one communication and one-to-many communication. Oftentimes they feature discussions on practical problems faced by people during their condition such as depression, side-effects of medications, etc. and answers to those problems provided by other members. [37]

Another feature type that most online health committees have are those that allow for information distribution. These features often can take the form of a blog, news area, staff-written articles, or even a regularly scheduled email newsletter. These features can allow for the exchange of important information such as recommendations and feedback about certain medications or medical procedures. [37]

A third common feature type are those that allow for guidance. These guidance features often take advantage of the one-to-one and one-to-many communication features mentioned previously. Some communities have specific features that facilitate guidance from medical professionals, while others provide specific tailored mentoring or coaching. [37]

While less common, a fourth feature types that is sometime available in online health communities are those that are designed to drive more user engagement. Examples of these kinds of features include features such as gamification or social recognition. [37]

Finally, another less common feature type are those that allow for the sharing of personal health information. Some community sites allow users to enter or upload specific health information, and share that with other users. This type of feature may raise some privacy and safety concerns for some, which may be why it is not as prevalent as some of the common features. [37]

Example communities

See also

Related Research Articles

In a support group, members provide each other with various types of help, usually nonprofessional and nonmaterial, for a particular shared, usually burdensome, characteristic. Members with the same issues can come together for sharing coping strategies, to feel more empowered and for a sense of community. The help may take the form of providing and evaluating relevant information, relating personal experiences, listening to and accepting others' experiences, providing sympathetic understanding and establishing social networks. A support group may also work to inform the public or engage in advocacy.

Palliative care is an interdisciplinary medical caregiving approach aimed at optimizing quality of life and mitigating suffering among people with serious, complex, and often terminal illnesses. Within the published literature, many definitions of palliative care exist. The World Health Organization (WHO) describes palliative care as "an approach that improves the quality of life of patients and their families facing the problems associated with life-threatening illness, through the prevention and relief of suffering by means of early identification and impeccable assessment and treatment of pain, illnesses including other problems whether physical, psychosocial, and spiritual". In the past, palliative care was a disease specific approach, but today the WHO takes a broader patient-centered approach that suggests that the principles of palliative care should be applied as early as possible to any chronic and ultimately fatal illness. This shift was important because if a disease-oriented approach is followed, the needs and preferences of the patient are not fully met and aspects of care, such as pain, quality of life, and social support, as well as spiritual and emotional needs, fail to be addressed. Rather, a patient-centered model prioritizes relief of suffering and tailors care to increase the quality of life for terminally ill patients.

Sympathy is the perception of, understanding of, and reaction to the distress or need of another life form.

<span class="mw-page-title-main">Telehealth</span> Health care by telecommunication

Telehealth is the distribution of health-related services and information via electronic information and telecommunication technologies. It allows long-distance patient and clinician contact, care, advice, reminders, education, intervention, monitoring, and remote admissions. Telemedicine is sometimes used as a synonym, or is used in a more limited sense to describe remote clinical services, such as diagnosis and monitoring. When rural settings, lack of transport, a lack of mobility, conditions due to outbreaks, epidemics or pandemics, decreased funding, or a lack of staff restrict access to care, telehealth may bridge the gap as well as provide distance-learning; meetings, supervision, and presentations between practitioners; online information and health data management and healthcare system integration. Telehealth could include two clinicians discussing a case over video conference; a robotic surgery occurring through remote access; physical therapy done via digital monitoring instruments, live feed and application combinations; tests being forwarded between facilities for interpretation by a higher specialist; home monitoring through continuous sending of patient health data; client to practitioner online conference; or even videophone interpretation during a consult.

<span class="mw-page-title-main">Community health</span> Field of public health

Community health refers to non-treatment based health services that are delivered outside hospitals and clinics. Community health is a subset of public health that is taught to and practiced by clinicians as part of their normal duties. Community health volunteers and community health workers work with primary care providers to facilitate entry into, exit from and utilization of the formal health system by community members as well as providing supplementary services such as support groups or wellness events that are not offered by medical institutions.

eHealth describes healthcare services which are supported by digital processes, communication or technology such as electronic prescribing, Telehealth, or Electronic Health Records (EHRs). The use of electronic processes in healthcare dated back to at least the 1990s. Usage of the term varies as it covers not just "Internet medicine" as it was conceived during that time, but also "virtually everything related to computers and medicine". A study in 2005 found 51 unique definitions. Some argue that it is interchangeable with health informatics with a broad definition covering electronic/digital processes in health while others use it in the narrower sense of healthcare practice using the Internet. It can also include health applications and links on mobile phones, referred to as mHealth or m-Health. Key components of eHealth include electronic health records (EHRs), telemedicine, health information exchange, mobile health applications, wearable devices, and online health information. These technologies enable healthcare providers, patients, and other stakeholders to access, manage, and exchange health information more effectively, leading to improved communication, decision-making, and overall healthcare outcomes.

<span class="mw-page-title-main">Social support</span> Support systems for individuals

Social support is the perception and actuality that one is cared for, has assistance available from other people, and most popularly, that one is part of a supportive social network. These supportive resources can be emotional, informational, or companionship ; tangible or intangible. Social support can be measured as the perception that one has assistance available, the actual received assistance, or the degree to which a person is integrated in a social network. Support can come from many sources, such as family, friends, pets, neighbors, coworkers, organizations, etc.

A personal health record (PHR) is a health record where health data and other information related to the care of a patient is maintained by the patient. This stands in contrast to the more widely used electronic medical record, which is operated by institutions and contains data entered by clinicians to support insurance claims. The intention of a PHR is to provide a complete and accurate summary of an individual's medical history which is accessible online. The health data on a PHR might include patient-reported outcome data, lab results, and data from devices such as wireless electronic weighing scales or from a smartphone.

Behavioral medicine is concerned with the integration of knowledge in the biological, behavioral, psychological, and social sciences relevant to health and illness. These sciences include epidemiology, anthropology, sociology, psychology, physiology, pharmacology, nutrition, neuroanatomy, endocrinology, and immunology. The term is often used interchangeably, but incorrectly, with health psychology. The practice of behavioral medicine encompasses health psychology, but also includes applied psychophysiological therapies such as biofeedback, hypnosis, and bio-behavioral therapy of physical disorders, aspects of occupational therapy, rehabilitation medicine, and physiatry, as well as preventive medicine. In contrast, health psychology represents a stronger emphasis specifically on psychology's role in both behavioral medicine and behavioral health.

<span class="mw-page-title-main">Self-care</span> Taking care of ones own health

Self-care has been defined as the process of establishing behaviors to ensure holistic well-being of oneself, to promote health, and actively manage illness when it occurs. Individuals engage in some form of self-care daily with food choices, exercise, sleep, and hygiene. Self-care is not only a solo activity, as the community—a group that supports the person performing self-care—overall plays a role in access to, implementation of, and success of self-care activities.

An e-patient is a health consumer who participates fully in their own medical care, primarily by gathering information about medical conditions that impact them and their families, using the Internet and other digital tools. The term encompasses those who seek guidance for their own ailments, and the friends and family members who research on their behalf. E-patients report two effects of their health research: "better health information and services, and different, but not always better, relationships with their doctors."

<span class="mw-page-title-main">Caregiver</span> Person helping another with activities of daily living

A caregiver, carer or support worker is a paid or unpaid person who helps an individual with activities of daily living. Caregivers who are members of a care recipient's family or social network, and who may have no specific professional training, are often described as informal caregivers. Caregivers most commonly assist with impairments related to old age, disability, a disease, or a mental disorder.

<span class="mw-page-title-main">Health 2.0</span>

"Health 2.0" is a term introduced in the mid-2000s, as the subset of health care technologies mirroring the wider Web 2.0 movement. It has been defined variously as including social media, user-generated content, and cloud-based and mobile technologies. Some Health 2.0 proponents see these technologies as empowering patients to have greater control over their own health care and diminishing medical paternalism. Critics of the technologies have expressed concerns about possible misinformation and violations of patient privacy.

<span class="mw-page-title-main">PatientsLikeMe</span> Health management social networking website

PatientsLikeMe (PLM) is an integrated community, health management, and real-world data platform. The platform currently has over 830,000 members who are dealing with more than 2,900 conditions, such as ALS, MS, and epilepsy. Data generated by patients themselves are collected and quantified with the goal of providing an environment for peer support and learning. These data capture the influences of different lifestyle choices, socio-demographics, conditions and treatments on a person's health.

Services for mental health disorders provide treatment, support, or advocacy to people who have psychiatric illnesses. These may include medical, behavioral, social, and legal services.

Health communication is the study and practice of communicating promotional health information, such as in public health campaigns, health education, and between doctor and patient. The purpose of disseminating health information is to influence personal health choices by improving health literacy. Health communication is a unique niche in healthcare that allows professionals to use communication strategies to inform and influence decisions and actions of the public to improve health.

<span class="mw-page-title-main">Holistic nursing</span> Medical care practice

Holistic nursing is a way of treating and taking care of the patient as a whole body, which involves physical, social, environmental, psychological, cultural and religious factors. There are many theories that support the importance of nurses approaching the patient holistically and education on this is there to support the goal of holistic nursing. The important skill to be used in holistic nursing would be communicating skills with patients and other practitioners. This emphasizes that patients being treated would be treated not only in their body but also their mind and spirit.. Holistic nursing is a nursing speciality concerning the integration of one's mind, body, and spirit with his or her environment. This speciality has a theoretical basis in a few grand nursing theories, most notably the science of unitary human beings, as published by Martha E. Rogers in An Introduction to the Theoretical Basis of Nursing, and the mid-range theory Empowered Holistic Nursing Education, as published by Dr. Katie Love. Holistic nursing has gained recognition by the American Nurses Association (ANA) as a nursing specialty with a defined scope of practice and standards. Holistic nursing focuses on the mind, body, and spirit working together as a whole and how spiritual awareness in nursing can help heal illness. Holistic medicine focuses on maintaining optimum well-being and preventing rather than just treating disease.

Digital health is a discipline that includes digital care programs, technologies with health, healthcare, living, and society to enhance the efficiency of healthcare delivery and to make medicine more personalized and precise. It uses information and communication technologies to facilitate understanding of health problems and challenges faced by people receiving medical treatment and social prescribing in more personalised and precise ways. The definitions of digital health and its remits overlap in many ways with those of health and medical informatics.

<span class="mw-page-title-main">Health information on the Internet</span>

Health information on the Internet refers to all health-related information communicated through or available on the Internet.

Digital empathy is the application of the core principles of empathy – compassion, cognition, and emotion – into technical designs to enhance user experience. According to Friesem (2016), digital empathy is the cognitive and emotional ability to be reflective and socially responsible while strategically using digital media.

References

  1. 1 2 3 4 5 6 7 8 van der Eijk, Martijn; Faber, Marjan J; Aarts, Johanna WM; Kremer, Jan AM; Munneke, Marten; Bloem, Bastiaan R (2013-06-25). "Using Online Health Communities to Deliver Patient-Centered Care to People With Chronic Conditions". Journal of Medical Internet Research. 15 (6): e115. doi: 10.2196/jmir.2476 . ISSN   1438-8871. PMC   3713879 . PMID   23803284.
  2. Online Health Search 2006 Summary of Findings
  3. Pew/Internet: Pew Internet & American Life Project. 2006-09-01.
  4. The Health Cloud Online Health Community
  5. 1 2 Meier, Andrea; Lyons, Elizabeth J; Frydman, Gilles; Forlenza, Michael; Rimer, Barbara K; Winefield, Helen (2007-05-14). "How Cancer Survivors Provide Support on Cancer-Related Internet Mailing Lists". Journal of Medical Internet Research. 9 (2): e12. doi: 10.2196/jmir.9.2.e12 . ISSN   1438-8871. PMC   1874721 . PMID   17513283.
  6. 1 2 Mo, Phoenix K. H.; Coulson, Neil S. (June 2008). "Exploring the Communication of Social Support within Virtual Communities: A Content Analysis of Messages Posted to an Online HIV/AIDS Support Group". CyberPsychology & Behavior. 11 (3): 371–374. doi:10.1089/cpb.2007.0118. ISSN   1094-9313. PMID   18537512.
  7. 1 2 MALIK, SUMAIRA H.; COULSON, NEIL S. (October 2011). "A Comparison of Lurkers and Posters Within Infertility Online Support Groups". Computers, Informatics, Nursing. 29 (10): 564–573. doi:10.1097/ncn.0b013e318224b31d. ISSN   1538-2931. PMID   21709546. S2CID   21124184.
  8. 1 2 Huh, Jina; Ackerman, Mark S. (2012). "Collaborative help in chronic disease management". Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work. Vol. 2012. New York, New York, USA: ACM Press. pp. 853–862. doi:10.1145/2145204.2145331. ISBN   978-1-4503-1086-4. PMC   4211623 . PMID   25360442.
  9. 1 2 Lasker, Judith N; Sogolow, Ellen D; Sharim, Rebecca R (2005-03-31). "The Role of an Online Community for People With a Rare Disease: Content Analysis of Messages Posted on a Primary Biliary Cirrhosis Mailinglist". Journal of Medical Internet Research. 7 (1): e10. doi: 10.2196/jmir.7.1.e10 . ISSN   1438-8871. PMC   1550634 . PMID   15829472.
  10. Oprescu, Florin; Campo, Shelly; Lowe, John; Andsager, Julie; Morcuende, Jose A (2013-01-22). "Online Information Exchanges for Parents of Children With a Rare Health Condition: Key Findings From an Online Support Community". Journal of Medical Internet Research. 15 (1): e16. doi: 10.2196/jmir.2423 . ISSN   1438-8871. PMC   3636206 . PMID   23470259.
  11. 1 2 Nambisan, Priya (2011-05-01). "Information seeking and social support in online health communities: impact on patients' perceived empathy". Journal of the American Medical Informatics Association. 18 (3): 298–304. doi: 10.1136/amiajnl-2010-000058 . ISSN   1527-974X. PMC   3078657 . PMID   21486888.
  12. Stewart Loane, Susan; Webster, Cynthia M.; D'Alessandro, Steven (2014-05-29). "Identifying Consumer Value Co-created through Social Support within Online Health Communities". Journal of Macromarketing. 35 (3): 353–367. doi:10.1177/0276146714538055. ISSN   0276-1467. S2CID   55588268.
  13. Dunkel-Schetter, Christine (January 1984). "Social Support and Cancer: Findings Based on Patient Interviews and Their Implications". Journal of Social Issues. 40 (4): 77–98. doi:10.1111/j.1540-4560.1984.tb01108.x. ISSN   0022-4537.
  14. McClellan, William (April 1993). "Hypertensive End-Stage Renal Disease in Blacks: The Role of End-Stage Renal Disease Surveillance". American Journal of Kidney Diseases. 21 (4): 25–30. doi:10.1016/0272-6386(93)70072-7. ISSN   0272-6386. PMID   8465832.
  15. Wang, Xi; Zuo, Zhiya; Zhao, Kang; Street, Nick (October 2015). "Predicting User Participation and Detecting User Role Diffusion in Online Health Communities". 2015 International Conference on Healthcare Informatics. IEEE. p. 483. doi:10.1109/ichi.2015.82. ISBN   978-1-4673-9548-9. S2CID   6862908.
  16. Gibbons, Michael C; Wilson, Renee F; Samal, Lipika; Lehmann, Christoph U; Dickersin, Kay; Lehmann, Harold P; Aboumatar, Hannan; Finkelstein, Joseph; Shelton, Erica; Sharma, Ritu; Bass, Eric B (2011-02-24). "Consumer health informatics: results of a systematic evidence review and evidence based recommendations". Translational Behavioral Medicine. 1 (1): 72–82. doi:10.1007/s13142-011-0016-4. ISSN   1869-6716. PMC   3717687 . PMID   24073033.
  17. Kim, Sung Soo; Kaplowitz, Stan; Johnston, Mark V. (September 2004). "The Effects of Physician Empathy on Patient Satisfaction and Compliance". Evaluation & the Health Professions. 27 (3): 237–251. doi:10.1177/0163278704267037. ISSN   0163-2787. PMID   15312283. S2CID   38052061.
  18. Richardson, Caroline R.; Buis, Lorraine R.; Janney, Adrienne W.; Goodrich, David E.; Sen, Ananda; Hess, Michael L.; Mehari, Kathleen S.; Fortlage, Laurie A.; Resnick, Paul J.; Zikmund-Fisher, Brian J.; Strecher, Victor J. (2010). "An Online Community Improves Adherence in an Internet-Mediated Walking Program. Part 1: Results of a Randomized Controlled Trial". Journal of Medical Internet Research. 12 (4): e71. doi: 10.2196/jmir.1338 . PMC   3056526 . PMID   21169160.
  19. Stone, Susan (July 2008). "A Retrospective Evaluation of the Impact of the Planetree Patient-Centered Model of Care on Inpatient Quality Outcomes". Health Environments Research & Design Journal. 1 (4): 55–69. doi:10.1177/193758670800100406. ISSN   1937-5867. PMID   21161915. S2CID   6518430.
  20. Medicine, Institute of (2008-08-27). Retooling for an Aging America. doi:10.17226/12089. ISBN   978-0-309-11587-2. PMC   2562151 . PMID   25009893.
  21. 1 2 Munneke, Marten; Nijkrake, Maarten J; Keus, Samyra HJ; Kwakkel, Gert; Berendse, Henk W; Roos, Raymund AC; Borm, George F; Adang, Eddy M; Overeem, Sebastiaan; Bloem, Bastiaan R (January 2010). "Efficacy of community-based physiotherapy networks for patients with Parkinson's disease: a cluster-randomised trial". The Lancet Neurology. 9 (1): 46–54. doi:10.1016/s1474-4422(09)70327-8. ISSN   1474-4422. PMID   19959398. S2CID   12208881.
  22. Hadler, Nortin M. (2007-11-07). "Overtreated: Why Too Much Medicine Is Making Us Sicker and Poorer". JAMA. 298 (17): 2070. doi:10.1001/jama.298.17.2071-a. ISSN   0098-7484.
  23. Kowdley, Gopal; Ashbaker, Darwin (May 2011). "Health Care Costs in America—Technology As a Major Driver". Journal of Surgical Education. 68 (3): 231–238. doi:10.1016/j.jsurg.2010.12.011. ISSN   1931-7204. PMID   21618817.
  24. 1 2 Neal, Lisa; Lindgaard, Gitte; Oakley, Kate; Hansen, Derek; Kogan, Sandra; Leimeister, Jan Marco; Selker, Ted (2006). "Online health communities". CHI '06 Extended Abstracts on Human Factors in Computing Systems. Montréal, Québec, Canada: ACM Press. pp. 444–447. doi:10.1145/1125451.1125549. ISBN   978-1-59593-298-3. S2CID   53244997.
  25. Nambisan, Priya (April 2011). "Evaluating patient experience in online health communities". Health Care Management Review. 36 (2): 124–133. doi:10.1097/hmr.0b013e3182099f82. ISSN   0361-6274. PMID   21317657. S2CID   22777283.
  26. 1 2 3 Huh, Jina; McDonald, David W.; Hartzler, Andrea; Pratt, Wanda (2013-11-16). "Patient Moderator Interaction in Online Health Communities". AMIA Annual Symposium Proceedings. 2013: 627–636. ISSN   1942-597X. PMC   3900205 . PMID   24551364.
  27. Zhao, Jing; Ha, Sejin; Widdows, Richard (September 2013). "Building Trusting Relationships in Online Health Communities". Cyberpsychology, Behavior, and Social Networking. 16 (9): 650–657. doi:10.1089/cyber.2012.0348. ISSN   2152-2715. PMID   23786170.
  28. Yarbrough, Amy K.; Smith, Todd B. (2007-09-05). "Technology Acceptance among Physicians". Medical Care Research and Review. 64 (6): 650–672. doi:10.1177/1077558707305942. ISSN   1077-5587. PMID   17717378. S2CID   26278195.
  29. Nonnecke, B.; Preece, J.; Andrews, D. (2004). "What lurkers and posters think of each other [online community]". 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the. IEEE. pp. 9 pp. doi:10.1109/hicss.2004.1265462. ISBN   0-7695-2056-1. S2CID   7675570.
  30. Kim, Hyang-Sook; Shyam Sundar, S. (2014-08-01). "Can online buddies and bandwagon cues enhance user participation in online health communities?". Computers in Human Behavior. 37: 319–333. doi:10.1016/j.chb.2014.04.039. hdl: 11603/24530 . ISSN   0747-5632.
  31. 1 2 Setoyama, Yoko; Yamazaki, Yoshihiko; Namayama, Kazuhiro (2011-12-29). "Benefits of Peer Support in Online Japanese Breast Cancer Communities: Differences Between Lurkers and Posters". Journal of Medical Internet Research. 13 (4): e122. doi: 10.2196/jmir.1696 . ISSN   1438-8871. PMC   3278108 . PMID   22204869.
  32. Wan, Lisa C. (March 2013). "Culture's impact on consumer complaining responses to embarrassing service failure". Journal of Business Research. 66 (3): 298–305. doi:10.1016/j.jbusres.2011.08.009. ISSN   0148-2963.
  33. Jinyang, Li (2015-03-18). "Knowledge sharing in virtual communities: A social exchange theory perspective". Journal of Industrial Engineering and Management. 8 (1). doi: 10.3926/jiem.1389 . hdl: 2099/16495 . ISSN   2013-0953.
  34. Mehra, Ajay; Dixon, Andrea L.; Brass, Daniel J.; Robertson, Bruce (February 2006). "The Social Network Ties of Group Leaders: Implications for Group Performance and Leader Reputation". Organization Science. 17 (1): 64–79. doi:10.1287/orsc.1050.0158. ISSN   1047-7039. S2CID   937577.
  35. Zhao, K.; Yen, J.; Greer, G.; Qiu, B.; Mitra, P.; Portier, K. (2014-10-01). "Finding influential users of online health communities: a new metric based on sentiment influence". Journal of the American Medical Informatics Association. 21 (e2): e212–e218. doi: 10.1136/amiajnl-2013-002282 . ISSN   1067-5027. PMC   4173171 . PMID   24449805.
  36. Massimi, Michael; Bender, Jackie L.; Witteman, Holly O.; Ahmed, Osman H. (2014). "Life transitions and online health communities". Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing. New York, New York, USA: ACM Press. pp. 1491–1501. doi:10.1145/2531602.2531622. ISBN   978-1-4503-2540-0. S2CID   12846999.
  37. 1 2 3 4 5 Ho, Yun-Xian; O'Connor, Brendan H.; Mulvaney, Shelagh A. (October 2014). "Features of Online Health Communities for Adolescents With Type 1 Diabetes". Western Journal of Nursing Research. 36 (9): 1183–1198. doi:10.1177/0193945913520414. ISSN   0193-9459. PMC   4112166 . PMID   24473058.