Exploring disparities of teleconsultation readiness: A comparative analysis of healthcare facilities in Indonesia.

Objectives: To investigate the implementation of teleconsultation and assess the level of readiness for its adoption among various types of healthcare facilities.

Methods: This cross-sectional study involved medical doctors working in a public hospital, a private hospital, and community health centers in Yogyakarta, Indonesia. We recruited 29 medical specialists from various departments in two hospitals and 27 heads of community health centers. The readiness items were categorized into sections that encompassed various readiness areas such as core, technological, motivational, learning, work culture, and policy readiness. Data were analyzed using a one-way analysis of variance and the Kruskal-Wallis test to evaluate differences in levels of readiness across healthcare facilities. A logistic regression analysis was conducted to further assess factors predicting the implementation of teleconsultation.

Results: Variations in technological readiness were observed between the community health centers and the public hospital (= 0.006) and the private hospital (= 0.007). Differences in learning readiness were found between the public hospitals and private hospitals (= 0.01). There were also disparities in cultural readiness between the public hospital and the private hospital (= 0.04) and between public hospital and community health centers (= 0.01). Logistic regression revealed an association between technological readiness and the use of video teleconsultation (OR= 1.13; = 0.017). The private hospital was more likely to implement video-based teleconsultation than was the public hospital (OR= 2.68; = 0.003) or community health centers (OR= 3.13; ≤ 0.001).

Conclusion: Significant differences in technology readiness were identified among community health centers, public hospitals, and private hospitals. Future policy implementation should focus on customizing technology use and providing cultural training to help healthcare institutions with different technological readiness levels.