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Determinants of Telemedicine Adoption among Patients

Devin Revilla, Nenita Prado
Psychology and Education: A Multidisciplinary Journal · 2025-02-06 · DOI 10.5281/zenodo.14814733
Token #4416
✓ Verified on SciChain. The record below hashes to exactly the content hash stored on chain for token #4416.
Token#4416 of SciMatic Articles (ERC-1155), fixed supply 1,000,000
Contract0x0E596B4bb924937aA35D9b342A90347ed6F05eF8
Mint transaction0xd620155f27764581734f97e0807512d48abd26114f0c5b0a15286d578b379f7e · block 12103237
Minted2026-10-02 02:05 UTC
Hash on chain0xc5565a93252f6dd63e684c7d28a925f30378d8c48b9307a93e519969204a293d
SHA-256 of the record0xc5565a93252f6dd63e684c7d28a925f30378d8c48b9307a93e519969204a293d
Article today Matches the anchored record.

Allocation at minting

HolderWalletMintedHolds now
SciMatic (10%) 0xc35709AB…277732 100,000 100,000
Devin Revilla 0xAf730fFA…2A10FB 450,000 450,000
Nenita Prado 0x22625b1E…2b515D 450,000 450,000

The anchored record

Canonical JSON (keys sorted, no spaces, UTF-8). Its SHA-256 is the hash on chain.

{"abstract":"The rapid advancement of technology has positioned telemedicine as a vital tool for enhancing healthcare accessibility, particularly for underserved populations. This study aims to identify the key determinants influencing telemedicine adoption from the patient's perspective, focusing on three critical factors: patient satisfaction, technology usability, and healthcare accessibility. Utilizing a quantitative research design, the study was conducted in the Davao Region, Philippines, employing descriptive-correlational and causal-comparative methodologies to analyze relationships and potential predictors of telemedicine adoption. Data were collected through four adapted questionnaires measuring the aforementioned variables, ensuring a reliable assessment of patient experiences. The findings reveal that healthcare accessibility is the most significant predictor of telemedicine adoption (p < 0.05), explaining 67.5% of the variance in usage, while patient satisfaction and technology usability did not demonstrate statistical significance. These results emphasize the importance of improving access to telemedicine services to enhance patient engagement and overall satisfaction. Furthermore, they indicate that while usability and satisfaction are relevant, they must be accompanied by increased accessibility to drive adoption effectively. This study contributes to the existing literature by shifting the focus from purely technical aspects of telemedicine to more patient-centered factors, highlighting the need for ongoing research into the barriers and facilitators affecting telemedicine utilization. Addressing these insights can aid healthcare providers and policymakers in developing strategies that better meet the needs of diverse patient populations, ensuring equitable access to healthcare services through telemedicine.","abstract_source":"original","authors":["Devin Revilla","Nenita Prado"],"date":"2025-02-06","doi":"10.5281/zenodo.14814733","id":4416,"issue":6,"journal":{"issn":"2822-4353","name":"Psychology and Education: A Multidisciplinary Journal"},"pdf_sha256":"510a19432887a4ca380edad28a8830083fa2bf4ab93482551aad1e69f9d9fd18","schema":"scimatic-article/1","title":"Determinants of Telemedicine Adoption among Patients","volume":31}

Check it yourself

1. The record, from the token's own metadata:

printf '%s' "$(curl -s https://scimatic.org/nft/articles/4416.json | jq -r .canonical_record)" | sha256sum

2. The hash stored on chain (contentHash(4416)):

curl -s https://rpc.scimatic.net -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"eth_call","params":[{"to":"0x0E596B4bb924937aA35D9b342A90347ed6F05eF8","data":"0xf3e0c2900000000000000000000000000000000000000000000000000000000000001140"},"latest"]}'

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