villarrealzegarra2026_trif
84,119 responses from 993 respondents to 85 items.
About this table
| Description | TRI-F (Telemedicine Readiness Inventory for Facilities), 1-4 Likert; N=993, 85 items, Peruvian primary care health workers |
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| Reference | Villarreal-Zegarra, D. (2026). Adaptation and Psychometric Validation of a Facility-Level Tool to Assess Telemedicine Readiness in Primary Care. |
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| DOI | 10.64898/2026.07.01.26356790 |
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| Licence | CC BY 4.0 |
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| Source data | https://figshare.com/articles/dataset/Adaptation_and_Psychometric_Validation_of_the_Inventory_to_Assess_the_Telemedicine_Readiness_of_Primary_Care_Facilities/32514540 |
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Size and shape
| Responses | 84,119 |
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| Respondents | 993 |
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| Items | 85 |
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| Response categories | 4 |
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| Responses per respondent | 84.712 |
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| Responses per item | 989.635 |
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| Density | 0.997 |
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| Longitudinal | FALSE |
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Classification
| sample | Program-based, Workplace |
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| measurement tool | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| primary language(s) | spa |
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Columns
cov_age_catcov_facility_categorycov_macro_regioncov_professioncov_regioncov_sexcov_specialtyiditemresp
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("villarrealzegarra2026_trif")
# Python
pip install irw
import irw
df = irw.fetch("villarrealzegarra2026_trif")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_3 v7.0 |
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| Redivis dataset DOI | 10.57761/pqqn-pm43 |
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| Manifest pin for this IRW version | v7.0 |
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| Metadata source | irw_meta v23.0 |
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