FreshRSS

🔒
❌ Acerca de FreshRSS
Hay nuevos artículos disponibles. Pincha para refrescar la página.
AnteayerTus fuentes RSS

Changes and contributions to the gender pay gap in surgery in Canada: a repeated cross-sectional analysis from 1996 to 2020

Por: Cohen · M. · Dossa · F. · Moineddin · R. · Kiran · T.
Objectives

Occupational gender segregation is a contributing factor to gender pay inequity in medicine but has not been thoroughly characterised. We assessed the historical relationship between surgeon sex, type of work and value of procedural payments. We hypothesised that female surgeons perform lower-paying procedures as a group, and that this could be seen both with broad historical overview and with focused analysis of major operative procedures in a specific year.

Design

We conducted repeated cross-sectional studies using public payment data from the Canadian Institute for Health Information. We calculated average payment per service by sex and service category and used linear regression to assess the association between proportion of female surgeons performing a procedure and payment value per procedure for 41 major procedures in 2019–2020.

Participants

Surgeons in 10 Canadian jurisdictions from 1996 to 1997 (5459) to 2019–2020 (8069).

Results

The proportion of female surgeons increased over the study period from 10.5% (n=575) in 1996–1997 to 28.7% (n=2314) in 2019–2020. The sex gap in the average payment per service narrowed but persisted. A greater proportion of women’s earnings came from non-procedural work in consultation and visits (43% for women vs 36% for men in 2019–2020) while a greater proportion of men’s earnings was from procedural work in major surgery (23% for women vs 38% for men in 2019–2020). There was an inverse relationship between proportion of women performing a procedure and payment value such that for one percent increase in female proportion, the procedural payment was CAD$1.77 lower.

Conclusions

Our findings suggest that women receive fewer procedural payments than men and tend to perform lower paying procedures. Reforms to referral systems and billing codes can help address root causes for the gender pay gap in surgery.

Cut‐off scores of the Depression Anxiety Stress Scale‐8: Implications for improving the management of chronic pain

Abstract

Aim

Mental distress, non-specific symptoms of depression and anxiety, is common in chronic pelvic pain (CPP). It contributes to poor recovery. Women's health nurses operate in multidisciplinary teams to facilitate the assessment and treatment of CPP. However, valid cut-off points for identifying highly distressed patients are lacking, entailing a gap in CPP management.

Design

This instrumental cross-sectional study identified a statistically derived cut-off score for the Depression Anxiety Stress Scale-8 (DASS-8) among 214 Australian women with CPP (mean age = 33.3, SD = 12.4, range = 13–71 years).

Methods

Receiver operator characteristic curve, decision trees and K-means clustering techniques were used to examine the predictive capacity of the DASS-8 for psychiatric comorbidity, pain severity, any medication intake, analgesic intake and sexual abuse. The study is prepared according to the STROBE checklist.

Results

Cut-off points resulting from the analysis were ordered ascendingly. The median (13.0) was chosen as an optimal cut-off score for predicting key outcomes. Women with DASS-8 scores below 15.5 had higher analgesic intake.

Conclusion

CPP women with a DASS-8 score above 13.0 express greater pain severity, psychiatric comorbidity and polypharmacy. Thus, they may be a specific target for nursing interventions dedicated to alleviating pain through the management of associated co-morbidities.

Implications for patient care

At a cut-off point of 13.0, the DASS-8 may be a practical instrument for recommending a thorough clinician-based examination for psychiatric comorbidity to facilitate adequate CPP management. It may be useful for evaluating patients' response to nursing pain management efforts. Replications of the study in different populations/countries are warranted.

❌