Digital Tools and Social Prescribing for Loneliness: What the Reviews Report
Reviews report that digital programs can reduce loneliness under certain conditions, particularly with group or social components (Hansen 2025); that information and communication technology reduced depression and anxiety with limited effect on social isolation (Bermúdez Endrino 2025); that analogue, community-based programs tended to be more effective than technological ones (Bergsträsser 2026); that social prescribing has a positive influence on mental health and wellbeing (Dubbeldeman 2024) while robust conclusions cannot yet be made (Cooper 2022); and that time on social networking sites is only weakly related to well-being (Huang 2017).
Comparison-driven use can worsen mood; digital access is unequal
- Persistent loneliness or isolation accompanied by low mood, hopelessness, loss of interest, or withdrawal lasting 2+ weeks: encourage contact with a primary care provider or mental health professional
- Thoughts of self-harm or that life is not worth living: direct to crisis line / emergency services immediately
- Compulsive social media use causing significant distress or impairment: consider professional support
What the evidence says
The sources are reviews and meta-analyses of digital tools, social-networking sites and social prescribing for loneliness and mental health. Hansen 2025 (meta-analysis of 40 randomised trials) reports that psychological interventions with group or social components, group-based activities and robotic pets were effective in reducing loneliness, while social-contact interventions, self-guided activities and conversational robots showed limited impact, and concludes that digital interventions can reduce loneliness under certain conditions, with an evidence base at moderate-to-high risk of bias. Bermúdez Endrino 2025 (meta-analysis) reports that information and communication technology interventions reduced depression and anxiety but had limited effect on social isolation; Sen 2022 and Choi 2021 (systematic reviews) report that technology use can reduce social isolation and improve social participation in older adults. Bergsträsser 2026 (systematic review of 79 studies) reports that analogue, community-based interventions tended to be more effective than technological ones, with combinations promising. On social prescribing, Dubbeldeman 2024 (systematic review of 49 papers) reports a positive influence on mental health and wellbeing mediated by loneliness and social connectedness; Staras 2024 reports improvements in social connection and reductions in loneliness; Cooper 2022 reports that 16 of 17 studies found improvements in mental health outcomes while robust conclusions on effectiveness cannot be made; Sachs 2024 reports small to moderate effects of nature-based social prescribing with longer interventions showing greater promise, and Spano 2020 (meta-analysis of 7 studies) a positive effect of community gardening on psychosocial well-being (g = 0.35). On social-networking sites, Laranjo 2015 (meta-analysis) reports a positive effect of interventions on health behaviour (g = 0.24) and Gilmour 2020 generally positive effects of Facebook-based social support; Seabrook 2016 reports positive interactions related to lower, and social comparison to higher, depression and anxiety; Huang 2017 (meta-analysis of 61 studies) reports time on social networking sites only weakly related to psychological well-being (r = −0.07), and Huang 2020 reports problematic use correlated with lower well-being and higher distress.
- (myth: any screen time is bad for connection.) CORRECTION: positive interactions help; social comparison is the problem.
- Myth: online contact can fully replace in-person connection. Reality: it supplements but does not replace it.
- Do not present this practice as a treatment or cure for clinical depression, anxiety disorders, or diagnosable loneliness-related conditions
- Do not claim it replaces professional mental-health care
- Do not promise it will prevent disease or extend lifespan for any individual
- Agreement
- Direction recorded for 0 of 15 sources; not yet recorded for the rest.
- The claim's outcome
- Outcome not yet recorded
- Certainty
- No source states a certainty rating.
- Authors
- Sources share authors: Chiungjung Huang (first author of 2 sources); Chiungjung Huang (senior author of 2 sources).
- How the sources were read
- Some sources are based on abstracts, not full texts.
What each source measured and concluded (15)
- What it measured
- Loneliness and social isolation
- How it was read
- based on the abstract, not the full text
- What the review says it includes
- Systematic review and meta-analysis of RCTs
- Studies and participants, as stated
- N=40 RCTs involving 6062 participants
- What it measured
- Social isolation and social wellbeing (technology use)
- How it was read
- based on the abstract, not the full text
- What the review says it includes
- Systematic review (narrative analysis, PRISMA)
- Studies and participants, as stated
- 25 articles
- What it measured
- Effectiveness of nature-based social prescribing interventions in reducing loneliness
- How it was read
- based on the abstract, not the full text
- What the review says it includes
- Mixed-methods systematic review
- Studies and participants, as stated
- N=38 studies
- What it measured
- Depression (also anxiety, loneliness, social isolation) with ICT-based interventions
- How it was read
- based on the abstract, not the full text
- What the review says it includes
- Systematic review and meta-analysis
- Studies and participants, as stated
- N=13 studies
- What it measured
- Psychosocial well-being (social cohesion, social support, trust).
- How it measured it
- Validated scales and subscales (e.g., UCLA Loneliness Scale).
- How it was read
- read in full text
- What the review says it includes
- Meta-analysis of 7 studies
- Studies and participants, as stated
- N=not reported participants across 7 studies
- Heterogeneity, as stated
- High heterogeneity among studies due to differences in samples, outcomes, sessions, settings, and measures
- What it measured
- Reduction of loneliness and increase in social participation.
- How it measured it
- Various scales and tools (not explicitly mentioned).
- How it was read
- read in full text
- What the review says it includes
- Systematic review of 23 studies
- Heterogeneity, as stated
- Heterogeneous interventions complicate drawing conclusions.
- What it measured
- Mental health and well-being.
- How it measured it
- Warwick-Edinburgh Mental Well-being Scale (validated).
- Its conclusion, in its own words
- “Robust conclusions on the effectiveness of social prescribing for mental health-related outcomes cannot be made.”
- How it was read
- read in full text
- What the review says it includes
- Systematic review
- Studies and participants, as stated
- N=5036 participants across 17 studies
- What it measured
- Mental health and wellbeing.
- How it measured it
- (Short) Warwick Edinburgh Mental Wellbeing Scale (validated), ONS Personal Wellbeing Scale (validated), self-report measures.
- How it was read
- read in full text
- What the review says it includes
- Systematic review of 49 papers (7 qualitative, 17 quantitative, 25 mixed method studies)
- Studies and participants, as stated
- N=18631 participants across 49 studies
- What it measured
- Loneliness.
- How it measured it
- UCLA loneliness scale (validated).
- Its conclusion, in its own words
- “The effectiveness of analogue interventions, particularly community-based interventions such as group meetings, social participation programs, and educational or psychological interventions, tended to be superior to that of technological interventions.”
- How it was read
- read in full text
- What the review says it includes
- Systematic review of 79 studies
- Studies and participants, as stated
- N=not reported participants across 79 studies
- Heterogeneity, as stated
- Limitations: High potential for bias due to self-reporting and lack of blinding, small sample sizes, methodological heterogeneity, limited generalizability due to exclusion criteria.
- What it measured
- Social connectedness and loneliness.
- How it measured it
- Campaign to End Loneliness Measurement Tool, UCLA loneliness Scale, De Jong Gierveld Loneliness Scale.
- Its conclusion, in its own words
- “Overall, this review underscores the importance of SIAH-informed Social Prescribing interventions in enhancing social connectedness, reducing loneliness, and promoting overall health.”
- How it was read
- read in full text
- What the review says it includes
- Systematic review
- Studies and participants, as stated
- N=3,298 participants across 19 studies
- What it measured
- Depression and anxiety in the context of social networking site use
- How it was read
- screened only, not extracted
- What it measured
- Psychological well-being (self-esteem, life satisfaction, loneliness, depression)
- How it was read
- screened only, not extracted
- What the review says it includes
- Meta-analysis
- Studies and participants, as stated
- 61 studies, 67 samples; 19,652 participants
- What it measured
- Mental health (well-being and distress indicators)
- How it was read
- screened only, not extracted
- What the review says it includes
- Meta-analysis
- Studies and participants, as stated
- 133 independent samples; N=244,676
- What it measured
- Health outcomes (general health, mental illness, well-being)
- How it was read
- screened only, not extracted
- What the review says it includes
- Systematic review
- Studies and participants, as stated
- 27 studies
- What it measured
- Health behavior change
- How it was read
- screened only, not extracted
- What the review says it includes
- Systematic review and meta-analysis of prospective studies/RCTs
- Studies and participants, as stated
- 12 studies, 7411 participants (8 RCTs in meta-analysis)
- Heterogeneity, as stated
- Positive effect of SNS interventions on health behavior outcomes (Hedges' g 0.24, 95% CI 0.04-0.43); considerable heterogeneity (I2=84.0%)
Each source below is shown with its study design and a link to the original study, or, where it is not a completed research paper, with what kind of record it is; those are not counted. This is the audit trail.
Why do some records show a record type instead of a study design?
A study design is shown for a completed, peer-reviewed paper. A registered protocol, a preprint, a conference abstract, a referee report or a book chapter has not been through peer review as a finished paper, so it is labelled for what it is, and it is counted in no source count. Where a record could not be confirmed as a completed paper at all, it says so rather than guessing. They all stay in the list, and their DOI still resolves, because the count of what was screened is part of the audit trail.
- Protocol / registration A registered plan for a review or trial, not its results.
- Preprint Posted by its authors before peer review.
- Conference abstract A conference summary rather than a peer-reviewed paper.
- Peer-review report A referee's report on a paper, not the paper itself.
- Guideline / position stand A recommendation derived from evidence, which is a step further from the data than the evidence itself.
- Book chapter A chapter in a scholarly book rather than a journal paper.
- Type not recorded Our record does not say what kind of publication this is, so it is counted in no source count. That is a gap in our data, not a judgement about the research.
“Abstract only” means the review read that paper’s abstract, not its full text; “screened only” means it was included at re-screening and not extracted. Both stay in the trail with their DOI, because how a source was read is part of the audit.