Download presentation
Presentation is loading. Please wait.
1
A Comparison of Treatment Rates for Dyspareunia Amongst Language Groups
Natalie Eisenach MD, MS-CR Candidate Department of Preventive Medicine and Public Health University of Kansas Medical Center
2
Outline Background Purpose Methods Results Discussion
3
Background Dyspareunia: Type of female sexual dysfunction
Recurrent or persistent pain with sexual activity that causes marked distress or interpersonal conflict. (Seehuesen, 2014) Affects 8-22% of women (Steege,2009) Not just menopausal women (Sobghol,2007) Numerous etiologies for pain: Anatomic Physiologic Psychologic
4
Background Continued Frequently underreported and undertreated
Tools like the Female Sexual Function Index aid in diagnosis Treatment options: Pharmaceuticals Pelvic Floor Physical Therapy Trigger Point Injections Surgical Counseling and Therapy
5
Purpose Current literature is lacking
Few studies published from America Limited knowledge on treatment rates Limited understanding on language’s impact on patient care Greater support and treatment for chronic muscular pain when health care provider showed proficiency in patient's language (Riffin, 2016) Dyspareunia greatly impacts quality of life Missing opportunities to diagnosis/treat dyspareunia
6
Purpose Continued Aims
Utilize data from the EMR to identify treatment rates for dyspareunia between different language groups Hypothesis Women who speak English will have higher rates of treatment for dyspareunia compared to Non-English speaking women
7
Methods Retrospective cohort study of all women diagnosed w/ dyspareunia at KUMC since 2007 Steps: Collection of EMR data through HERON (Healthcare Enterprise Repository for Ontological Narration) Data cleaning and organization with SQL-Lite Calculation of final treatment rates in Excel Statistical analysis completed with SAS
8
Collection of Data LANGUAGE and INTERPRETER USE
SETTING: OB/GYN (IDX and UHC) DX CODES: ICD9 – 625.0 ICD10 – N80-N98 TX CODES: ESTROGENS, PT REFERRAL ORDER, INJECTIONS and MESH INSERTION (CPT-4)
9
Data Timeline Initial Dyspareunia Diagnosis First of Treatment X
OB/GYN CLINIC Initial Dyspareunia Diagnosis First of Treatment X First of Treatment Y First of Treatment Z Record of Interpreter Use (Any Point in Record) * Treatment types not required in a specific order or at time interval.
10
Women w/ diagnosis of dyspareunia (n= 3,106)
Excluded (n=53): - ICD : Psychogenic dyspareunia Diagnosis w/ ICD or ICD10 N80-98 only (n=3,053) Diagnosis starting 1/1/2007 (n =2,463) History of Interpreter Use (n=33) Treatment Date ≥ Dx Date (n= 584) Treatment w/ Surgical Mesh Placement (n=4) Treatment w/ Estrogen (n=262) Treatment w/ Trigger Pt. Injection (n=110) Treatment w/ PT Referral (n=208)
11
Results
12
Interpreter Use: Count
Final Data Summary Treatment Type Counts Language Pt Count Avg. Age at Diagnosis Interpreter Use: Count Estrogen PT Trigger Mesh English 2360 42 2 256 207 108 3 Spanish 45 40 21 5 1 Not Entered 28 35 Burmese 8 33 Other 6 Russian 47 Chinese 54 Chinese (Mandarin) 43 Unknown 32 Arabic 38 Chin 29 Danish 24 Laotian 27 Nepali Somali 50 Vietnamese
13
Language Breakdown
14
Age Analysis Range for all languages: 13-87
15
Comparison of Age at Diagnosis
T-test results : English: (mean age at diagnosis) Not English: (mean age at diagnosis) Statistically Significant: p=0.0007, Non-English speakers diagnosed at younger age
16
Comparison of Treatment Rates
17
Association of Language and Treatment
Summary Chi-Square Test: Low frequency for many cells, use exact test p=0.0222, supports an association between language and treatment
18
Association Continued
Applied standard residuals Mesh treatments > | 2| Fewer subjects were observed in Language/Mesh combinations than what we would expect under independence Surgical options contribute to overall significance of Chi-Sq
19
Discussion Aim: Use EMR data to identify treatment rates for dyspareunia amongst different language groups 2,360 English speaking women and 103 Non-English speaking women diagnosed w/ dyspareunia Non-English speaking women diagnosed on average ~4 years earlier when compared to English speaking women Higher rates of treatment in English speaking cohort, but still small (all under 12%) Significant association between patient’s language and treatment Strong contribution from surgical treatment
20
Limitations EMR User Error: Not entered and unknown frequency high
Interpreter use recording rates Timeline 100% estrogen use amongst ALL patients when timeline removed Is methods capturing all treatments associated w/ diagnosis?
21
Future Directions This study was able to highlight a disparity in Women’s Health Future Goals: Research barriers to treatment through future survey of all Spanish and English speaking patients in gynecology clinics Improve access to care for all patients through improved healthcare communication
22
References Seehusen, D. A., et al. (2014). "Dyspareunia in women." Am Fam Physician 90(7): Steege, J. F. and D. A. Zolnoun (2009). "Evaluation and treatment of dyspareunia." Obstet Gynecol 113(5): Sobhgol, S. S. and S. M. Alizadeli Charndabee (2006). "Rate and related factors of dyspareunia in reproductive age women: a cross-sectional study." Int J Impot Res 19(1): Riffin, C., Pillemer, K., Reid, M. C., & Lckenhoff, C. E. (2016). Decision Support Preferences Among Hispanic and Non-Hispanic White Older Adults With Chronic Musculoskeletal Pain. J Gerontol B Psychol Sci Soc Sci, 71(5),
23
Questions?
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.