Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Jun 8, 2024
Date Accepted: Nov 7, 2024

The final, peer-reviewed published version of this preprint can be found here:

Factors Associated With Digital Capacity for Health Promotion Among Primary Care Workers: Cross-Sectional Survey Study

Wang Y, Ren H, Xiao S, Meng T, Sun S, Yu S, Liu Q, Wang F

Factors Associated With Digital Capacity for Health Promotion Among Primary Care Workers: Cross-Sectional Survey Study

J Med Internet Res 2024;26:e63054

DOI: 10.2196/63054

PMID: 39705686

PMCID: 11699497

Factors Associated With Digital Capacity for Health Promotion among Primary Care Workers: Cross-Sectional Online Survey Study

  • Yining Wang; 
  • Hui Ren; 
  • Shaotan Xiao; 
  • Tian Meng; 
  • Shuyue Sun; 
  • Siyu Yu; 
  • Qing Liu; 
  • Fan Wang

ABSTRACT

Background:

Health education and promotion are recognized as effective strategies for fostering healthy ageing, reducing the disease burden, and addressing health inequalities, particularly when delivered through digital media. Primary care workers are often regarded as the key providers of these interventions. Despite the strong practical significance and substantial individual demand, the utilization of digital media for delivering health promotion practices was not widespread in China. One of the main challenges identified is the providers’ inadequate capacities. However, little is known about the digital capacity for health promotion among primary care workers.

Objective:

This study aimed to investigate the levels of digital capacity for health promotion and its associated factors among community health workers.

Methods:

A total of 1346 community health workers were recruited from across 47 communities in Shanghai, China, through cluster-stratified random sampling. The digital capacity for health promotion was measured using the revised version of the Digital Literacy Framework (DCF). Online questionnaires were distributed to collect data from March 20–29, 2024. Data were analyzed using descriptive statistics, independent t-tests, one-way ANOVA, and linear hierarchical regression using Stata MP 17.0.

Results:

We included 1199 participants. Among them, 47.5% (570/1199) had high digital media use for over 19.6 hours per week, whereas 31.8% (381/1199) demonstrated high digital media trust. The average level of digital capacity for health promotion was 16.71 (SD 2.94) out of 25 points. Demographics, digital media usage-related characteristics, perceived usefulness and usability, attitudes, and behaviors were significant predictors of the capacities, explaining 44.4% of the total variance. Master’s degree or above (β=.077, P=.013), perceived usability (β=.235, P<.001), attitudes towards digital media health promotion (β=.095, P=.002), and past digital media health promotion practices (β=.377, P<.001) had significantly positive associations with digital capacities for health promotion. However, senior (β=–.076, P=.008) or median (β=–.074, P=.012) titles had a significant negative association with capacity levels.

Conclusions:

A digitally capable workforce is required for primary healthcare systems to take full advantage of digital media health promotion. Therefore, solutions are necessary to achieve enhanced capacities among health professionals, including public health policy-making, community empowerment, and individual practices.


 Citation

Please cite as:

Wang Y, Ren H, Xiao S, Meng T, Sun S, Yu S, Liu Q, Wang F

Factors Associated With Digital Capacity for Health Promotion Among Primary Care Workers: Cross-Sectional Survey Study

J Med Internet Res 2024;26:e63054

DOI: 10.2196/63054

PMID: 39705686

PMCID: 11699497

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.