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Dataset Information

Derivation and validation of a chief complaint shortlist for unscheduled acute and emergency care in Uganda.


ABSTRACT:

Objectives

Derive and validate a shortlist of chief complaints to describe unscheduled acute and emergency care in Uganda.

Setting

A single, private, not-for profit hospital in rural, southwestern Uganda.

Participants

From 2009 to 2015, 26 996 patient visits produced 42 566 total chief complaints for the derivation dataset, and from 2015 to 2017, 10 068 visits produced 20 165 total chief complaints for the validation dataset.

Methods

A retrospective review of an emergency centre quality assurance database was performed. Data were abstracted, cleaned and refined using language processing in Stata to produce a longlist of chief complaints, which was collapsed via a consensus process to produce a shortlist and turned into a web-based tool. This tool was used by tw

SUBMITTER: Rice BT 

PROVIDER: S-EPMC6020949 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature