According to a March 2024 survey conducted in the United States, 32 percent of adults reported feeling that social media had neither a positive nor negative effect on their own mental health. Only seven percent of social media users said that online platforms had a very positive effect on their mental health, while 12 percent of users said it had a very negative impact. Furthermore, 22 percent of respondents said social media had a somewhat negative effect on their mental health. Is social media addictive? A 2023 survey of individuals between 11 and 59 years old in the United States found that over 73 percent of TikTok users agreed that the platform was addictive. Furthermore, nearly 27 percent of those surveyed reported experiencing negative psychological effects related to TikTok use. Users belonging to Generation Z were the most likely to say that TikTok is addictive, yet millennials felt the negative effects of using the app more so than Gen Z. In the U.S., it is also not uncommon for social media users to take breaks from using online platforms, and as of March 2024, over a third of adults in the country had done so. Following mental health-related content Although online users may be aware of the negative and addictive aspects of social media, it is also a useful tool for finding supportive content. In a global survey conducted in 2023, 32 percent of social media users followed therapists and mental health professionals on social media. Overall, 24 percent of respondents said that they followed people on social media if they had the same condition as they did. Between January 2020 and March 2023, British actress and model Cara Delevingne was the celebrity mental health activist with the highest growth in searches tying her name to the topic.

Introduction

Social Media Mental Health Statistics: Social media has many uses, but it often causes the most harm to younger users. Teens face significant mental health issues due to social media, and the COVID-19 pandemic made things worse by increasing screen time and social media use. This created more opportunities for teens to encounter online problems, worsening the situation.

Teens also use social media to find communities and interest groups, watch live streams, and support good causes. It’s important to US teens that they feel welcome and safe online. Despite some problems, social media offers many chances for connection and entertainment. We shall shed more light on the Social Media Mental Health Statistics through this article.

In 2023, around half of U.S. adults surveyed mentioned that they have at least a little trust in health information they saw on YouTube, while **** in *** say the same about Facebook. Overall, very few adults indicated that they have a high level of trust in health information reported by selected social media platforms.

In a survey conducted in 2023, 32 percent of social media users followed therapists and mental health professionals for mental health content. One quarter of respondents said that they followed people on social media if they had the same condition as they did. Furthermore, 20 percent of social network users followed mental health advocates and brands for mental health content.

According to a survey conducted in the United States in February 2023, 47 percent of Millennials who were using social media said that it had a very or somewhat positive effect on their mental health. Overall, Generation X, those born between 1965 and 1981, were most likely to say that social media had a very or somewhat negative impact on their mental health, with 41 percent feeling this way.

According to a survey conducted in England in 2021, **** percent of young people with a likelihood of probable mental disorder agreed to the statement that the number of likes, comments or shares they get on social media has an impact on their mood. While **** percent of respondents with probable mental disorder agreed that they spent more time on social media then they meant to.

IH415 - Impact of social media on your mental health for those aged 18 years and over who used social media. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Impact of social media on your mental health for those aged 18 years and over who used social media...

Introduction

Mental Health Statistics: Mental health is a state of mental welfare that enables people to cope with the issues of life, develop this ability, learn well, work well, and also contribute to their community. It has inherent and instrumental value, and it is an inner part of our overall welfare. Anytime a different set of family, individual, structured factors, and community may come together to protect or decrease the mental health issue.

Even though many people are tough, people who are exposed to unfavorable circumstances that also include violence, disability, and poverty are at a very high risk of developing a mental health condition. Mental health care is generally of poor quality when it is delivered. People with mental health issues generally also witness discrimination, stigma, and human rights violations. In this article, we shed more light on mental health statistics.

According to an online survey conducted in January 2023, 51 percent of adults in the United States felt the responsibility to protect children from social media harm fell upon parents. Overall, one in five respondents stated that the impact of social media on children's mental health was the responsibility of social media companies, and five percent said social media users were responsible for protecting kids from potential social media harm.

Editor’s Choice

• The Global Mental Health Apps Market size is expected to be worth around USD 23.8 Billion by 2032 from USD 5.2 Billion in 2022, growing at a CAGR of 16.9 % during the forecast period from 2023 to 2032.
• According to a survey on mental wellness conducted in India in May 2022, about 61% of female and 55% of male respondents stated that they had used digital technologies such as apps and smart devices to manage their mental well-being.
• There are more than 10,000 mental health apps available in major app stores.
• About 86% of therapy clients believed that teletherapy sessions are more effective than in-person therapy.
• Artificial Intelligence and machine learning technologies are beneficial in developing predictive models for mental health conditions. AI algorithm could predict the onset of psychosis with 93% accuracy.
• Approximately 44% of individuals with mental health conditions do not receive treatment due to barriers such as stigma, cost, and limited access to providers.
• Around 70% of individuals reported that they would feel comfortable seeking mental health support from a Chatbot.

(Source: Statista, PsyberGuide, American Psychological Association, Nature, National Institute of Mental Health)

During a 2022 survey carried out in the United States, it was found that Facebook was the most popular social network among healthcare marketers – ** percent of respondents had an active account on the platform at the time of the survey. YouTube and Instagram followed, with ** percent and ** percent, respectively.

Financial overview and grant giving statistics of Association for Healthcare Social Media

IH412 - Time on social media each day for all persons aged 18 and over. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Time on social media each day for all persons aged 18 and over...

This survey charted Finnish citizens' as well as social and healthcare service professionals' attitudes and views concerning secondary use of health and social care data in research and development of services. The study contained two target groups: (1) persons who suffered or had a close relative or acquaintance who suffered from one or more chronic conditions, diseases or disorders, and (2) social and healthcare service professionals. First, the respondents' opinions on the reliability of a variety of authorities and organisations were examined (e.g. the police, Kela, register and statistics authorities, universities) as well as trust in appropriate handling of personal data. They were also asked which type of information they deemed personal or not (e.g. bank account number and balance, purchase history at a grocery store, web browsing history, patient records, genetic information, social security number, phone number). They were asked to evaluate which principles they considered important in handling personal health data (e.g. being able to access one's personal data and to have inaccurate data rectified, and being able to restrict data processing), and the study also surveyed how interested the respondents were in keeping track of the use of their health data, and how willing they would be to permit the use of anonymous health data and genetic information for a variety of purposes (e.g. medicine and treatment development, development of equipment and services, and operations of insurance companies). Next, it was examined whether the respondents kept track of their physical activity with a smartphone or a fitness tracker, for instance, and if they would be willing to permit the use of anonymous data concerning physical activity for a variety of purposes. In addition, the respondents' attitudes were charted with regard to developing medicine research by combining anonymous health data and patient records with other data on, for instance, physical activity, alcohol use, grocery store purchase history, web browsing history, and social media use. The study also examined the willingness to permit access to personal health data for social and healthcare service professionals in a service situation, as well as for social and healthcare authorities and other authorities outside of a service situation. Finally, it was charted how important the respondents deemed different factors relating to data collection (e.g. being able to decide for which purposes personal data, or even anonymous data, can be used, and increasing awareness on how health data can be utilised in scientific research). The reliability of a variety of authorities and organisations, such as social welfare/healthcare organisations, academic researchers and pharmaceutical companies, was also examined in terms of data security and purposes for using data. Background variables included, among others, mother tongue, marital status, household composition, housing tenure, socioeconomic class, political party preference, left-right political self-placement, gross income, economic activity and occupational status, and respondent group (citizen/healthcare service professional/social service professional).

A 2024 survey conducted in the United States and the United Kingdom found that ** percent of male social media users had concerns about the impact of social media on young men’s health. Around ***** percent of those surveys disagreed with the idea that social media was effecting young men's health.

Introduction

Electronic Health Records Statistics: In today's fast-paced and data-driven healthcare landscape, Electronic Health Records (EHRs) play a pivotal role in transforming how medical information is stored, accessed, and shared.

EHRs have revolutionized the way healthcare providers deliver patient care by replacing traditional paper-based systems with digital records.

These digital systems enable healthcare professionals to access patient data securely, make informed decisions, and collaborate effectively across the care continuum.

The adoption and utilization of EHR systems have seen significant growth in recent years due to various factors such as government initiatives, advancements in technology, and the increasing need for streamlined healthcare processes.

As EHRs become more prevalent, they offer immense benefits in terms of improved patient outcomes, increased efficiency, and enhanced research opportunities.

The National Social Life, Health and Aging Project (NSHAP) is the first population-based study of health and social factors on a national scale, aiming to understand the well-being of older, community-dwelling Americans by examining the interactions among physical health, illness, medication use, cognitive function, emotional health, sensory function, health behaviors, and social connectedness. It is designed to provide health providers, policy makers, and individuals with useful information and insights into these factors, particularly on social and intimate relationships. The National Opinion Research Center (NORC), along with Principal Investigators at the University of Chicago, conducted more than 3,000 interviews during 2005 and 2006 with a nationally representative sample of adults aged 57 to 85. Face-to-face interviews and biomeasure collection took place in respondents' homes. Round 2 interviews were conducted from August 2010 through May 2011, during which Round 1 Respondents were re-interviewed. An attempt was also made to interview individuals who were sampled in Round 1 but declined to participate. In addition, spouses or co-resident partners were also interviewed using the same instruments as the main respondents. This process resulted in 3,377 total respondents. The following files constitute Round 2: Core Data, Disposition of Round 1 Partner Data, Social Networks Data, Social Networks Update Data, Partner History Data, Partner History Update Data, Medications Data, Proxy Data, and Sleep Statistics Data. Included in the Core files (Datasets 1 and 2) are demographic characteristics, such as gender, age, education, race, and ethnicity. Other topics covered respondents' social networks, social and cultural activity, physical and mental health including cognition, well-being, illness, history of sexual and intimate partnerships, and patient-physician communication, in addition to bereavement items. Data were also collected from respondents on the following items and modules: social activity items, physical contact module, sexual interest module, get up and go assessment of physical function, and a panel of biomeasures, including weight, waist circumference, height, blood pressure, smell, saliva collection, and taste. The Disposition of Round 1 Partner files (Datasets 3 and 4) detail information derived from Section 6A items regarding the partner from Round 1 within the questionnaire. This provides a complete history for respondent partners across both rounds. The Social Networks files (Datasets 5 and 6) contain one record for each person identified on the network roster. Respondents who refused to participate in the roster or who did not identify anyone are not represented in this file. The Social Networks Update files (Datasets 7 and 8) detail respondents' current relationship status with each person identified on the network roster. The Partner History file (Dataset 9) contains one record for each marriage, cohabitation, or romantic relationship identified in Section 6A of the questionnaire, including a current partner in Round 2 but excluding the partner from Round 1. The Partner History Update file (Dataset 10) details respondents' current sexual partner information, as well as marital and cohabiting status. The Medications Data file (Dataset 11) contains records for items listed in the medications log. The Proxy Data files (Datasets 12 and 13) contain information from proxy interviews administered for Round 1 Respondents who were either deceased or whose health was too poor to participate in Round 2. The Sleep Statistics Data files (Dataset 14 and 15) provide information on actigraphy sleep variables. NACDA also maintains a Colectica portal with the NSHAP Core data across rounds 1-3, which allows users to interact with variables across rounds and create customized subsets. Registration is required.

Descriptive statistics of social media use of Facebook users and Facebook non-users.

Introduction

EHR Industry Statistics: Electronic Health Records (EHRs) are digital versions of patient paper charts, revolutionizing healthcare by providing instant, secure access to comprehensive medical information.

They include details like medical history, diagnoses, medications, and test results, consolidating data from various sources into one accessible record.

EHRs enhance patient care by supporting better coordination among healthcare providers, improving efficiency through reduced paperwork, and enabling patient engagement via access to their records.

Challenges include high implementation costs, interoperability issues between different systems, and concerns about data privacy.

Looking ahead, advancements aim to improve interoperability, enhance data analytics, and integrate with telemedicine for more efficient and personalized healthcare delivery.

The Healthcare Social Media market has emerged as a vital component in the communication landscape of the healthcare industry, redefining how healthcare providers, patients, and organizations engage with one another. As of recently published data, the market is valued at approximately $X billion, reflecting signific