gizaw_2023_phq9
5,193 responses from 577 respondents to 9 items.
About this table
| Description | 9-item PHQ-9 depression scale, healthcare providers in Addis Ababa, two COVID-19-period survey waves |
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| Reference | Workneh et al. (2023). Change in depression during the COVID-19 pandemic among healthcare providers in Addis Ababa, Ethiopia. PeerJ. |
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| DOI | 10.7717/peerj.15053 |
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| Licence | CC BY 4.0 |
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| Source data | https://europepmc.org/article/PMC/PMC10100826 |
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Size and shape
| Responses | 5,193 |
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| Respondents | 577 |
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| Items | 9 |
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| Response categories | 4 |
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| Responses per respondent | 9 |
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| Responses per item | 577 |
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| Density | 1 |
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| Longitudinal | TRUE |
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Classification
| age range | Adult (18+) |
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| sample | 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) | amh |
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Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Patient Health Questionnaire-9 (PHQ-9) |
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| Mean words per item | 1 |
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| Mean characters per item | 2 |
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| Mean characters per response | 15.250 |
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| Flesch-Kincaid grade level | -3.400 |
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Columns
cov_agecov_age_groupcov_covid_concerncov_covid_testcov_covid_trainingcov_covid_wp_guidancecov_perceived_riskcov_primary_workplacecov_professioncov_sexiditemrespwave
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("gizaw_2023_phq9")
# Python
pip install irw
import irw
df = irw.fetch("gizaw_2023_phq9")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_4 v7.0 |
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| Redivis dataset DOI | 10.57761/cpj5-vm97 |
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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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