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. 2021 May 19;14(1):32.
doi: 10.1186/s12245-021-00347-8.

Calibrating a chief complaint list for low resource settings: a methodologic case study

B Hansoti  1   2 , E Hahn #  3 , A Rao #  3 , J Harris  4 , A Jenson  4 , N Markadakis  4 , S Moonat  4 , V Osula  4 , A Pousson  4
Affiliations

Calibrating a chief complaint list for low resource settings: a methodologic case study

B Hansoti et al. Int J Emerg Med. .

Abstract

Background: The chief or presenting complaint is the reason for seeking health care, often in the patient's own words. In limited resource settings, a diagnosis-based approach to quantifying burden of disease is not possible, partly due to limited availability of an established lexicon or coding system. Our group worked with colleagues from the African Federation of Emergency Medicine building on the existing literature to create a pilot symptom list representing an attempt to standardize undifferentiated chief complaints in emergency and acute care settings. An ideal list for any setting is one that strikes a balance between ease of use and length, while covering the vast majority of diseases with enough detail to permit epidemiologic surveillance and make informed decisions about resource needs.

Methods: This study was incorporated as a part of a larger prospective observational study on human immunodeficiency virus testing in Emergency Departments in South Africa. The pilot symptom list was used for chief complaint coding in three Emergency Departments. Data was collected on 3357 patients using paper case report forms. Chief complaint terms were reviewed by two study team members to determine the frequency of concordance between the coded chief complaint term and the selected symptom(s) from the pilot symptom list.

Results: Overall, 3537 patients' chief complaints were reviewed, of which 640 were identified as 'potential mismatches.' When considering the 191 confirmed mismatches (29.8%), the Delphi process identified 6 (3.1%) false mismatches and 185 (96.9%) true mismatches. Significant chief-complaint clustering was identified with 9 sets of complaints frequently selected together for the same patient. "Pain" was used 2076 times for 58.7% of all patients. A combination of user feedback and expert-panel modified Delphi analysis of mismatched complaints and clustered complaints resulted in several substantial changes to the pilot symptom list.

Conclusions: This study presented a systematic methodology for calibrating a chief complaint list for the local context. Our revised list removed/reworded symptoms that frequently clustered together or were misinterpreted by health professionals. Recommendations for additions, modifications, and/or deletions from the pilot chief complaint list we believe will improve the functionality of the list in low resource environments.

Keywords: Chief complaint; Emergency department; Symptom list.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Free-text chief complaint and pilot symptom list tick box matching algorithm
Fig. 2
Fig. 2
Revised symptom or complaint list
Fig. 3
Fig. 3
Known injury classification
Fig. 4
Fig. 4
Pilot symptom list
See this image and copyright information in PMC

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