Evidence map›Paper›PMID 40918073›Full record

ReviewDigital health

Technophobia in digital health contexts: A systematic review and meta-analysis with a focus on older adults.

Xiaofang Song, Shasha Li, Liying Dong, Yue Li, Xinyu Yang, Jianyi Bao, Shufang Liao, Yingxue Xi, Guojing Guo

Abstract readReview
In one paragraph

Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Xiaofang SongDepartment of Nursing, College of Medical Science, Huzhou University, Zhejiang, China.ORCID https://orcid.org/0009-0000-4974-2177
Shasha LiDepartment of Nursing, College of Medical Science, Huzhou University, Zhejiang, China.ORCID https://orcid.org/0000-0003-4198-2314
Liying DongDepartment of Nursing, The First People's Hospital of Huzhou, Huzhou City, China.ORCID https://orcid.org/0009-0009-5350-0205
Yue LiDepartment of Nursing, College of Medical Science, Huzhou University, Zhejiang, China.ORCID https://orcid.org/0009-0002-5274-9761
Xinyu YangDepartment of Nursing, College of Medical Science, Huzhou University, Zhejiang, China.ORCID https://orcid.org/0009-0002-8340-9890
Jianyi BaoDepartment of Nursing, College of Medical Science, Huzhou University, Zhejiang, China.ORCID https://orcid.org/0009-0000-1139-7072
Shufang LiaoDepartment of Nursing, College of Medical Science, Huzhou University, Zhejiang, China.ORCID https://orcid.org/0009-0001-8554-1556
Yingxue XiDepartment of Nursing, College of Medical Science, Huzhou University, Zhejiang, China.ORCID https://orcid.org/0009-0003-5332-1510
Guojing GuoDepartment of Nursing, College of Medical Science, Huzhou University, Zhejiang, China.ORCID https://orcid.org/0009-0001-9069-1321

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: With the rapid integration of digital technologies into healthcare, technophobia has become a key barrier to digital health adoption, especially among older adults. This study aimed to evaluate technophobia levels and identify associated factors within a multidimensional ecological framework. Methods: A systematic search was conducted across 10 electronic databases for studies published until April 30, 2025. Meta-analysis was conducted to estimate pooled effect sizes. Technophobia levels were assessed using mean differences (MDs) or standardized mean differences (SMDs), each accompanied by a 95% confidence interval (CI). Summary correlation coefficients ( Results: Nineteen studies were included. The findings indicate that older adults demonstrated significantly elevated technophobia levels (MD = 39.90, 95% CI: 35.87-43.94) compared to non-older adults, with privacy and security concerns scoring the highest among the three dimensions (MD = 3.29, 95% CI: 2.94-3.64). Additionally, several factors showed significant correlations with technophobia ( Conclusions: Technophobia is notably high among older adults in digital health contexts, especially regarding privacy and security concerns. Its roots span individual, social, and systemic dimensions. These findings highlight the need for targeted, multilevel interventions to reduce technophobia and ensure equitable access to digital health technologies.

Indexed as

associated factorsdigital healthmeta-analysisreviewTechnophobia

Identifiers

PMID40918073
PMCPMC12409025

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.