Research data supporting "Quality of care for undifferentiated symptoms of non-communicable diseases in three African urban areas: A Standardised Patient Study"

1626 36 8176 5 47629 document 8176 rep_results_code.R text/plain 29db330e28714686a80ece7385f86841 MD5 11572 2026-04-27 13:54:34 http://edata.bham.ac.uk/1626/1/rep_results_code.R 1626 1 3 text/plain text public cc_public_domain

rep_results_code.R

documentation 8177 6 47632 document 8177 SP data dictionary.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 85e755ecb3f14104b0f55239a8ce2b14 MD5 12351 2026-04-27 13:54:48 http://edata.bham.ac.uk/1626/2/SP%20data%20dictionary.xlsx 1626 2 2 application/vnd.openxmlformats-officedocument.spreadsheetml.sheet spreadsheet public cc_public_domain

SP data dictionary.xlsx

readme 8178 5 47636 document 8178 NIHR SP data.csv text/plain 097a0f0f089a67cec89d107b8f28b7ff MD5 151982 2026-04-27 14:17:48 http://edata.bham.ac.uk/1626/3/NIHR%20SP%20data.csv 1626 3 1 text/plain text restricted cc_public_domain

NIHR SP data.csv

data export_control archive 771 disk0/00/00/16/26 2026-05-07 09:03:45 2026-05-07 09:24:55 2026-05-07 09:03:45 data_collection show Scandrett Katie k.e.scandrett@bham.ac.uk 0000-0001-6111-2805 Watson Samuel s.i.watson@bham.ac.uk 0000-0002-8972-769X Deeks Oscar o.deeks@bham.ac.uk 0009-0000-9995-3730 Dhuldhoya Yash ynd3@georgetown.edu Das Jishnu jishnu.das@georgetown.edu Georgetown University Research data supporting "Quality of care for undifferentiated symptoms of non-communicable diseases in three African urban areas: A Standardised Patient Study" 10col_mede primary healthcare, quality of care, standardised patients, non-communicable diseases, health services research, LMIC, Sub-Saharan Africa This dataset contains the necessary data needed to replicate the main results in "Quality of care for undifferentiated symptoms of non-communicable diseases in three African urban areas: A Standardised Patient Study". We include the code needed to replicate our results, and a "README" file containing documentation on each of the variables within this dataset in the form of a data dictionary. 2026-05-07 published University of Birmingham https://doi.org/10.25500/edata.bham.00001626 Dataset research-data@contacts.bham.ac.uk Department of Applied Health Sciences other National Institute of Health Research (NIHR) NIHR158242 yes yes yes TRUE Watson Samuel s.i.watson@bham.ac.uk The data was processed directly data collection source, with all identifying information either removed or anonymised to comply to the data sharing agreement, funder contract requirements and data protection laws. We include variables (e.g. scores) directly formed from other variables in the original dataset. Verbal interview, with data inputted onto an electronic tablet by the supervisor conducting the interview. Sub-Saharan Africa 2025-06-16 2025-08-13