Evidence map›Paper›PMID 41983104›Full record

SynthesisFrontiers in public health2025

A digital transformation and consumption patterns of the "New older adults" in China: a systematic review of technological adaptation and learning mechanisms.

Baowen Shao, Muhammad Inshal, Mirza Amin Ul Haq, Syed Taha, Najmonnisa Khan, Jing Wang

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

6 authors.

Baowen ShaoShandong Huayu University of Technology, Dezhou, China.
Muhammad InshalIndus Hospital & Health Network, Karachi, Pakistan.
Mirza Amin Ul HaqZiauddin University, Karachi, Pakistan.
Syed TahaUniversity Canada West, Vancouver, BC, Canada.
Najmonnisa KhanSZABIST University Pakistan, Karachi, Pakistan.
Jing WangSchool of Culture and Communication, Putian University, Putian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China is experiencing a profound demographic shift which is mainly marked by rapid population aging. This systematic review explores the key domains, market segments, and technological innovations targeting China's new older adults population, employing thematic analysis to synthesize findings from diverse studies. The review identifies multifaceted market segmentation approaches, including demographic, geographic, psychographic, health, and economic channels, which highlights the heterogeneity of older adults consumers. Technological advancements span health and wellness, living environment safety, social inclusion, data infrastructure, and support services, providing benefits such as enhanced health monitoring, independent living, social connectivity, and resource optimization. But current research is constrained by narrow geographic coverage, limited representation of non-digital users, and reliance on theoretical or macro-level analyses, restricting understanding of real-world adoption and long-term outcomes, and future strategies should focus on user-centered technology design, differentiated market segmentation, inclusive digital literacy initiatives, and integrated, AI-enabled service delivery. Also, robust, multi-sector longitudinal studies are needed to evaluate adoption, effectiveness, and scalability of interventions, and this review provides actionable insights for policymakers, industry, and researchers to develop inclusive, efficient, and sustainable support systems for China's diverse and evolving older adults population.

Indexed as

Digital TechnologyAgedChinaHumansaging populationChinamarket segmentationnew older adultstechnology

Identifiers

PMID41983104
PMCPMC13070757

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.