4.4 Article

Sex Differences in Reported Pain Across 11,000 Patients Captured in Electronic Medical Records

期刊

JOURNAL OF PAIN
卷 13, 期 3, 页码 228-234

出版社

CHURCHILL LIVINGSTONE
DOI: 10.1016/j.jpain.2011.11.002

关键词

Electronic medical records; sex differences; pain intensity; data mining

资金

  1. National Library of Medicine [R01 LM009719]
  2. Institute for Immunity Transplantation and Infection
  3. Hewlett Packard Foundation
  4. Lucile Packard Foundation for Children's Health
  5. NSF
  6. Hewlett Family Stanford Graduate Fellowship

向作者/读者索取更多资源

Clinically recorded pain scores are abundant in patient health records but are rarely used in research. The use of this information could help improve clinical outcomes. For example, a recent report by the Institute of Medicine stated that ineffective use of clinical information contributes to undertreatment of patient subpopulations-especially women. This study used diagnosis-associated pain scores from a large hospital database to document sex differences in reported pain. We used de-identified electronic medical records from Stanford Hospital and Clinics for more than 72,000 patients. Each record contained at least 1 disease-associated pain score. We found over 160,000 pain scores in more than 250 primary diagnoses, and analyzed differences in disease-specific pain reported by men and women. After filtering for diagnoses with minimum encounter numbers, we found diagnosis-specific sex differences in reported pain. The most significant differences occurred in patients with disorders of the musculoskeletal, circulatory, respiratory and digestive systems, followed by infectious diseases, and injury and poisoning. We also discovered sex-specific differences in pain intensity in previously unreported diseases, including disorders of the cervical region, and acute sinusitis (P =.01, .017, respectively). Pain scores were collected during hospital encounters. No information about the use of pre-encounter over-the-counter medications was available. To our knowledge, this is the largest data-driven study documenting sex differences of disease-associated pain. It highlights the utility of electronic medical record data to corroborate and expand on results of smaller clinical studies. Our findings emphasize the need for future research examining the mechanisms underlying differences in pain. Perspective: This article highlights the potential of electronic medical records to conduct large-scale pain studies. Our results are consistent with previous studies reporting pain differences between sexes and also suggest that clinicians should pay increased attention to this idea. (C) 2012 by the American Pain Society. Published by Elsevier Inc. All rights reserved

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