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. Author manuscript; available in PMC: 2022 Jun 1.
Published in final edited form as: Female Pelvic Med Reconstr Surg. 2021 Jun 1;27(6):337–343. doi: 10.1097/SPV.0000000000001069

Generic Health-Related Quality of Life in Patients Seeking Care for Pelvic Organ Prolapse

Catherine S Bradley 1, Heidi W Brown 2, Stuart S Shippey 3, Robert E Gutman 4, Uduak U Andy 5, Ladin A Yurteri-Kaplan 6, Bela Kudish 7, Allen Mehr 8, Amy O’Boyle 9, Raymond T Foster 10, Jennifer T Anger 11, Galen Conti 12, Patrick Ten Eyck 13, Pamela A Moalli 14
PMCID: PMC9039983  NIHMSID: NIHMS1794613  PMID: 34080581

Abstract

Objective:

Using the American Urogynecologic Society (AUGS) multicenter Pelvic Floor Disorder Registry for Research (PFDR-R), we 1) compared generic quality of life (QOL) in women planning pelvic organ prolapse (POP) treatment (surgery vs. pessary), 2) correlated generic and condition-specific QOL scores, and 3) identified associations between generic QOL and other factors.

Methods:

This cross-sectional analysis assessed generic physical and mental QOL using the PROMIS Global Health Scale at baseline. Global Physical and Mental T scores center on a representative US population sample (mean=50, SD=10; higher scores=better health). Condition-specific QOL was assessed with Pelvic Floor Distress Inventory (PFDI-20), Pelvic Floor Impact Questionnaire (PFIQ-7), and POP/Urinary Incontinence Sexual Function Questionnaire (PISQ-12). Linear regression models identified associations between clinical factors and Global Physical/Mental scores.

Results:

568 women (419 surgery, 149 pessary) were included. Surgery patients were younger, heavier and more often sexually active (all P≤0.01). Global Physical scores were lower in the surgery vs pessary group, but not likely clinically meaningful (mean (SD) 48.8 (8.1) vs. 50.4 (8.5), P=0.035); Global Mental scores were similar (51.4 (8.4) vs. 51.9 (9.5), P=0.56). Global Health scores correlated with PFDI-20, PFIQ-7 and PISQ-12 scores (all P<0.0001). In multivariable models, menopause was associated with better physical QOL, and constipation, coronary artery disease, pelvic pain, and increased body mass index with worse physical QOL. Age was associated with better mental QOL, and constipation, fecal incontinence, pelvic pain, and coronary artery disease with worse mental QOL.

Conclusions:

Women choosing POP surgery vs pessary had similar physical and mental generic QOL.

Keywords: pelvic organ prolapse, pessary, surgery, generic health-related quality of life, condition-specific quality of life, mental health status, physical health status, multicenter registry study

Introduction

The American Urogynecologic Society’s (AUGS) Pelvic Floor Disorder Registry for Research (PFDR-R) is a volunteer, multi-centered, 3-year, prospective cohort of patients undergoing treatment for pelvic organ prolapse (POP).1,2 The PFDR-R is designed to evaluate the effectiveness, quality of life (QOL) impact, and safety associated with surgical and non-surgical (pessary) management of POP.

The concept of health-related QOL encompasses physical, mental, and social aspects of health and well-being. Assessing QOL outcomes is particularly important when studying POP treatments, as POP has a major negative impact on patients’ lives but does not typically cause severe morbidity or mortality. Quality of life instruments include both generic and disease-specific or condition-specific measures.3 Generic QOL measures assess broad levels of function and well-being in physical and social domains of life and can be obtained in populations that differ in disease and co-morbidity. Disease-specific QOL instruments are designed to quantify the impact of specific diseases or conditions in affected populations.

Although most POP research assesses disease-specific or condition-specific QOL, we know less about generic QOL status in women with POP. Few studies have included generic QOL outcomes, and it is unclear whether generic QOL scores improve after POP treatment.47 Information about generic QOL in women with POP will help us to better understand the overall health status of women seeking care for POP and allow comparisons of overall physical and mental health between women with POP and the general U.S. female population or with subsets of women with specific diseases or conditions.

The PFDR-R provides an opportunity to study generic health-related QOL in a broad population of care-seeking POP patients. Thus, our objectives were to 1) compare generic health-related QOL in patients seeking surgical and pessary POP treatment in the PFDR-R, 2) assess correlations between generic and condition-specific QOL scores, and 3) identify associations between generic QOL and other patient health characteristics. Our primary hypothesis was that generic QOL would be worse in patients planning pessary compared with surgery for POP.

Materials and Methods

This cross-sectional study used baseline data collected in the PFDR-R. The PFDR-R had central institutional review board approval, and all sites received approval from their local institutional review board. All participants completed informed consent prior to enrollment. These results are reported as recommended by the STROBE Guidelines for Reporting Observational Studies.8

Registry recruitment occurred between October 2015 and June 2018. PFDR-R methods have been previously reported and are reviewed briefly.2 Adult women seeking treatment of prolapse with surgery or pessary at 1 of the 11 PFDR-R sites were enrolled. They were excluded if pregnant, unable to complete questionnaires in English, or anticipated that they would be unable to physically or mentally participate for 36 months after treatment. Participant baseline information included demographics, education level, parity (including delivery mode), menopausal status, systemic and topical estrogen use, comorbidities, current and former tobacco use, prior prolapse treatment, surgical history, clinical diagnosis of prolapse, and pelvic organ prolapse quantification (POP-Q) stage. Participants were dichotomized into two groups (pessary vs surgery) according to plan made at the baseline visit. Surgical patients were further categorized into 6 mutually exclusive groups based upon abdominal or vaginal approach (or combined approach) and mesh/graft use in the procedure to address POP.

Enrolled participants agreed to complete patient-reported assessments, using a web-link sent by email, or if preferred, on paper. The 10-item National Institutes of Health Patient-Reported Outcomes Measurement Information System (PROMIS) Global Health Scale (v. 1.1) was administered to assess generic health-related QOL.9 Advantages of this measure is its brevity (10 items) and scoring metric, in which raw scores are converted to a T-score metric, allowing comparisons to “normal” populations and to populations with other conditions. Global Physical Health and Global Mental Health scores (primary outcomes for this study) were generated by summing responses to 8 of the 10 items. Raw scores were converted to T-score values using PROMIS score conversion tables such that a score of 50 represents the mean for the U.S. general population with SD of 10. A higher score represents better health.9 Participants who did not complete the Global Health Scale at baseline or had missing items from those required for score calculations were excluded. More details about the PROMIS Global Health Scale items, versions and scoring can be found in Supplemental Table 1.

The Pelvic Floor Distress Inventory Short Form (PFDI-20) is a 20-item, condition-specific QOL questionnaire with 3 subscales, that evaluates distress caused by pelvic floor symptoms including bowel, urinary and POP complaints.10 PFDI items ask whether each symptom is experienced and the degree of bother. The Pelvic Floor Impact Questionnaire (PFIQ-7) is a condition-specific QOL questionnaire also with bladder, bowel and POP subscales.10 PFIQ items assess the impact of symptoms on ability to do household chores, physical activities, entertainment activities, travel, social activities, emotional health, and frustration. Scores on the PFDI-20 and PFIQ-7 range from 0–300, with higher scores indicating worse symptoms and QOL. The Pelvic Organ Prolapse/Urinary Incontinence Sexual Questionnaire Short Form (PISQ-12) evaluates sexual function in women with prolapse and incontinence.11 The PISQ-12 total score ranges from 0 to 48, and higher scores indicate better sexual function. The PISQ-12 was only administered if the participant reported that they were “sexually active with or without a partner.” The International Consultation on Incontinence Questionnaire-Urinary Incontinence–short form (ICIQ-UI-SF) assesses urinary incontinence and its impact on QOL.12 Total score ranges from 0 to 21, with higher scores indicating more severe and/or bothersome incontinence. A pain questionnaire was administered, modified from an instrument developed for the Trial of Midurethral Slings.13 The questionnaire asks about pain occurring in the past 24 hours in 7 locations in the pelvic region and lower extremities, rated from 0 (no pain) to 10 (most intense pain). A summative score ranges from 0 to 70 (higher scores indicate more pain).

Participant characteristics were summarized using counts and percentages for categorical variables and means with SD or medians with interquartile range (IQR) for continuous variables. Comparisons between pessary and surgery groups were tested using Pearson’s chi-squared, Fisher’s exact, unpaired t- and/or Wilcoxon rank sum tests as indicated by variable type and distributions. Global Physical Health and Global Mental Health scores were compared between surgery and pessary groups using unpaired t tests and between surgical categories using ANOVA. Associations between PROMIS Global Health Scores and other QOL scores were tested using Spearman correlations. Multivariable analyses were performed using linear regression models predicting Global Physical Health and Global Mental Health (separate models), adding treatment group as the primary predictor and other covariates. Covariates considered for inclusion were those collected in the entire cohort and associated with the primary outcomes at p≤0.10 in univariate analyses. Models were used to assess the most ideal collection of predictor variables (including treatment plan) to predict the continuous outcomes. The selection criterion used to compare model fits and select the optimal predictor set for reporting was the Akaike Information Criterion (AIC; a lower AIC suggests a better “fitting” model).14 Statistical analysis was performed using SAS 9.4 (SAS Institute Inc., Cary, NC). Statistical significance was defined as P<0.05.

Prior to completing PFDR-R enrollment, we conservatively estimated an available sample size of approximately 500 participants for this analysis. Assuming 500 participants with available data, α = 0.05 and with score SD = 10, we would have power of 0.85 and 0.99 to detect a 3- and 5-point difference, respectively, between mean Global Health scores in surgery vs. pessary groups. The minimal clinically important difference (MCID) for the PROMIS Global Health Scale has not been empirically tested, but MCID in other PROMIS short-form scales, assessing fatigue, pain interference, physical function, gastrointestinal symptoms, and emotional well-being, have been estimated at 3–6 points.15,16

Results

Among 1,148 PFDR-R participants, 580 were excluded because of missing questionnaire data (557 did not complete baseline questionnaires and 23 had incomplete Global Health Scale data). Among the remaining 568 patients, 419 planned surgery and 149 planned pessary treatment (Figure 1). Thirty-one patients planned but did not complete surgery. Surgeries performed (n= 388) included: vaginal native tissue (n=249, 64.2%), vaginal graft augmented (mesh/biologic) (n=3, 0.8%), sacrocolpopexy (n=104, 26.8%), combined approach graft augmented (mesh/biologic) (n=1, 0.3%), abdominal native tissue (n=8, 2.1%) and obliterative (n=23, 5.9%).

Figure 1.

Figure 1.

Participant Flow Diagram

Those PFDR-R participants who were included differed from those excluded, although differences were small. Included participants were older (62.5 vs. 60.8 years, P=0.014), had lower body mass index (BMI) (27.9 vs. 28.5, P=0.03), were more likely to report higher education (68.1% vs. 57.6%, P=0.016) and less likely to report smoking (3.5% vs. 7.2%, P=0.005) than those excluded. Women included were more likely to have had cancer (7.2% vs. 4.5%, P=0.048) and vaginal atrophy (19.2% vs. 11%, P<0.001), and less likely to take medication for pelvic pain (2.3% vs. 9.1%, P<0.001). They were more likely to have apical prolapse (74.8% vs. 68.8%, P=0.023) and less likely cystocele (65.5% vs. 71.7%, P=0.023), stress urinary incontinence (SUI; 34.3% vs. 41.2%, p=0.016), and urinary urgency (25.4% vs. 31.6%, P=0.02). Other patient characteristics were similar between included and excluded participants (data not shown).

Patients undergoing surgery were younger, less educated, and had higher BMI than patients treated with a pessary (Table 1). More patients undergoing surgery were sexually active and had SUI, rectocele, and inflammatory bowel disease compared to those electing pessary treatment. There were no differences between surgery and pessary groups in race, ethnicity, insurance, smoking status, menopausal status, medical comorbidities, POP-Q stage, or prior prolapse or incontinence surgery.

Table 1:

Baseline patient characteristics in the Pelvic Floor Disorder Registry for Research (PFDR-R) by surgery and pessary treatment groups

Total n=568 Surgery (n=419) Pessary (n=149) p-value

Age (yrs) 61.6 (10.5) 65.1 (12.2) <0.001

Race (missing=1) 0.536*
 Black or African American 12 (2.9) 7 (4.7)
 White 386 (92.3) 136 (91.3)
 American Indian/Alaska native 1 (0.2) 0
 Asian 4 (1.0) 1 (0.6)
 Native Hawaiian/Pacific Islander 0 0
 Other/Multi-race 15 (3.6) 5 (3.4)

Hispanic Ethnicity (missing=4) 11 (2.7) 3 (2.0) > 0.999

Education (missing=198) 0.002
 High school or less 101 (35.7) 17 (19.5)
 College 127 (44.9) 39 (44.8)
 Graduate school 55 (19.4) 31 (35.6)

Insurance
 Blue Cross/Blue Shield 106 (25.3) 31 (20.8) 0.271
 Medicare/Medicaid 120 (28.6) 45 (30.2) 0.718
 Other 246 (58.7) 89 (59.7) 0.828

Current Smoker (missing=2) 17 (4.1) 2 (1.4) 0.181

Vaginal Parity (median (IQR)) 2 (2,3) 2 (2,3) 0.035
(missing=31) Range 0–9 Range 1–7

Postmenopausal (missing=8) 347 (84.0) 124 (84.4) 0.924

Clinical diagnosis of prolapse
 Cystocele 28 (66.8) 92 (61.7) 0.263
 Rectocele 243 (58.0) 44 (29.5) <.001
 Uterine prolapse 237 (56.6) 82 (55.0) 0.747
 Post-hysterectomy vault prolapse 81 (19.3) 25 (16.8) 0.492
 Enterocele

Urinary Symptoms/Conditions
 Stress incontinence 157 (37.5) 38 (25.5) 0.008
 Urgency incontinence 129 (30.8) 43 (28.9) 0.660
 Mixed incontinence 67 (16.0) 18 (12.1) 0.251
 Frequency 58 (13.8) 21 (14.1) 0.939
 Urgency 111 (26.5) 33 (22.2) 0.295
 Hematuria 9 (2.19) 5 (3.42) 0.375
 Interstitial cystitis 1 (0.2) 1 (0.7) 0.456
 Recurrent urinary tract infection 15 (3.6) 9 (6.0) 0.200

Bowel Symptoms/Conditions
 Chronic constipation 68 (16.2) 16 (10.7) 0.105
 Fecal incontinence 38 (9.1) 13 (8.7) 0.900
 Irritable bowel syndrome 19 (4.62) 7 (4.79) 0. 681

Sexually Active (missing=4) 232 (55.8) 65 (43.9) 0.013

Dyspareunia (if sexually active) (missing=12) 71 (32.1) 15 (23.4) 0.182

Other pelvic symptoms/conditions 76 (18.1) 33 (22.2) 0.286
 Vaginal atrophy 21 (5.0) 6 (4.0) 0.627
 Pelvic pain

General medical history
 Diabetes 33 (7.9) 11 (7.4) 0.847
 Coronary artery disease 16 (3.8) 7 (4.17) 0.640
 Cancer 29 (6.9) 12 (8.1) 0.646
 Pulmonary disease (COPD, asthma) 36 (8.6) 14 (9.4) 0.766
 Back/neck surgery 13 (3.1) 4 (2.7) > 0.999
 Chronic pain/fibromyalgia 5 (1.2) 6 (4.0) 0.041
 Other 170 (40.6) 57 (38.3) 0.620

Current medications
 Pain medication for pelvic pain 12 (2.9) 1 (0.7) 0.200
 Steroids 10 (2.4) 4 (2.7) 0.767
 Chemotherapeutic agents 5 (1.2) 3 (2.0) 0.438
 Anti-rejection medication 5 (1.2) 0 0.333
 Medication for overactive bladder 16 (3.8) 1 (0.7) 0.054
 Estrogen treatment 140 (33.7) 52 (34.9) 0.841

Hysterectomy 130 (31.0) 38 (25.5) 0.212

Prior prolapse surgery 59 (14.1) 15 (10.1) 0.257

Prior incontinence surgery 26 (6.2) 8 (5.4) 0.712

Prior bowel/intestinal surgery 24 (5.7) 6 (4.0) 0.425

Prior pelvic surgery, other/unknown 135 (32.2) 32 (21.5) 0.013

Body mass index (kg/m2) (missing=2) 28.3 (5.7) 26.7 (4.6) 0.003

POP-Q stage (missing=19) 0.333
 I 3 (0.7) 2 (2.1)
 II 171 (41.0) 59 (41.0)
 III 214 (51.3) 76 (52.8)
 IV 29 (7.0) 6 (4.2)
*

For p-value calculation, American Indian/Alaska native, Asian, Native Hawaiian/Pacific Islander, and Other/Multi-race categories were grouped and compared with Black/African American and White categories.

Data presented as mean (SD) or n (column %) unless otherwise indicated; % may not add to 100% because of rounding.

COPD, chronic obstructive pulmonary disease; POP-Q, pelvic organ prolapse quantification

Surgery patients had slightly lower Global Physical Health scores (difference = 1.6), indicating worse generic physical health, than pessary patients, but this difference is likely not clinically significant (Table 2). Global Mental Health scores were not different between the two groups. Apart from the ICIQ-UI-SF, condition-specific QOL scores reflected more bothersome symptoms and impact (worse condition-specific QOL) in patients planning surgery versus pessary treatment. Among surgery patients, there were no differences in generic and condition-specific QOL scores between surgery types (vaginal native tissue, sacrocolpopexy, and colpocleisis), except for the POPIQ-7 which showed less impact in those who planned colpocleisis and more in those planning sacrocolpopexy (median (IQR) 9.5 (0, 38.1) vs. 14.3 (4.8, 38.1) vs. 0 (0, 19) for vaginal native tissue, sacrocolpopexy and colpocleisis, respectively; P=0.046; other data not shown).

Table 2:

Baseline health-related quality of life and other patient-reported measures in the PFDR-R: surgery and pessary treatment groups

Surgery (n=419) Pessary (n=149) p-value

Global Health
 Physical T-score 48.8 (8.1) 50.4 (8.5) 0.035*
 Mental T-score 51.4 (8.4) 51.9 (9.5) 0.556*

PFDI-20 93.9 (58.9, 137.5) 63.5 (38.5, 102.6) < .001
 POPDI-6 33.3 (16.7, 54.2) 25 (8.3, 41.7) < .001
 UDI-6 40.8 (22.9, 58.3) 25 (11.3, 41.7) < .001
 CRADI-8 18.8 (7.7, 34.4) 12.5 (0, 25) < .001

PFIQ-7 42.9 (14.3, 85.7) 19 (7.5, 57.1) < .001
 POPIQ-7 9.5 (0, 33.3) 0 (0, 19) < .001
 IIQ-7 19 (4.8, 38.1) 9.5 (0, 23.8) < .001
 CRAIQ-7 4.8 (0, 23) 0 (0, 9.5) 0.002

PISQ-12 32 (28, 37) 35 (31, 38) 0.033

ICIQ-UI-SF 5 (3, 9) 3 (0, 8) 0.353

Pain 5 (0, 11) 3 (0, 8) 0.014
*

p-value calculated using student t test; other p-values from Wilcoxon rank sum test.

Data presented as mean (SD) or median (interquartile range).

PFDR-R, Pelvic Floor Disorder Registry for Research; PFDI-20, Pelvic Floor Distress Inventory short form, missing = 16; POPDI-6, Pelvic Organ Prolapse Distress Inventory short form, missing = 4; UDI-6, Urinary Distress Inventory short form, missing =4; CRADI-8, Colorectal Anal Distress Inventory short form, missing = 10; PFIQ-7, Pelvic Floor Impact Questionnaire short form, missing = 24; POPIQ-7, Pelvic Organ Prolapse Impact Questionnaire short form, missing = 21; IIQ-7, Incontinence Impact Questionnaire short form, missing = 12; CRAIQ-7, Colorectal Anal Distress Impact Questionnaires short form, missing = 24; PISQ-12, Pelvic Organ Prolapse/Urinary Incontinence Sexual Function Questionnaire short form, reported for those participants who reported sexual activity, missing = 11; ICIQ-UI-SF, International Consultation on Incontinence Questionnaire-Urinary Incontinence–short form, missing = 26

Generic physical and mental QOL scores correlated in the direction expected with all condition-specific QOL and pain scores (Table 3). Correlations with condition-specific measures were weak to moderate (range: 0.3–0.6; all P<0.001) for generic physical QOL and weak (range: 0.2–0.4; all P<0.001) for generic mental QOL.

Table 3.

Correlations between PROMIS Global Health Scale scores (generic health related quality of life) and condition-specific quality of life measures.

Global Physical Health Score Global Mental Health Score
PFDI-20 −0.485 −0.297
PFIQ-7 −0.521 −0.380
PISQ-12 0.315 0.226
Pain −0.594 −0.317
ICIQ-UI-SF −0.252 −0.154

Spearman’s correlations presented. p-values all <0.001

PROMIS, Patient-Reported Outcomes Measurement Information System; PFDI-20, Pelvic Floor Distress Inventory short form, missing = 16; PFIQ-7, Pelvic Floor Impact Questionnaire short form, missing = 24; PISQ-1, Pelvic Organ Prolapse/Urinary Incontinence Sexual Function Questionnaire short form, reported for those participants who reported sexual activity, missing = 11; ICIQ-UI-SF = International Consultation on Incontinence Questionnaire-Urinary Incontinence–short form, missing = 26

Bivariable and multivariable models suggested several patient characteristics were associated with global physical and mental health status (Table 4, Supplemental Table 2). In multivariable linear regression models, menopause was associated with higher Global Physical Health score (mean score difference (95%CI) = 2.3 (0.6, 4.0)). Constipation, pelvic pain, and coronary artery disease (mean score difference (95%CI) = −2.6 (−4.4, −0.8), −6.6 (−9.6, −3.7) and −5.6 (−8.8, −2.4), respectively) and BMI (mean score difference (95%CI) −4.6 (−5.8, −3.4) per 10 kg/m2) were associated with lower Global Physical Health score. Age was associated with higher Global Mental Health score (mean score difference (95%CI)=1.8 (1.2, 2.5) per decade) and constipation, fecal incontinence, pelvic pain and coronary artery disease with lower Global Mental Health score (−3.1 (−5.1, −1.1), −3.6 (−6.1,−1.1), −5.5 (−8.8, −2.3) and −5.9 (−9.5,−2.3) per 10 kg/m2, respectively). The decision to pursue surgery versus pessary treatment for prolapse in PFDR-R participants was not associated with generic physical or mental QOL scores in adjusted models.

Table 4:

Linear regression models predicting PROMIS Global Physical Health (4a) and Mental Health (4b) quality of life scores

4a. Global Physical Health
Dependent Outcome Predictor Mean difference (95% CI) p-value AIC
Global Physical Health Surgery vs. pessary −1.11 (−2.58, 0.36) 0.140 3643.2
Menopause* 2.30 (0.56, 4.04) 0.010
Constipation −2.63 (−4.43, −0.83) 0.004
Pelvic pain −6.63 (−9.58, −3.68) <0.001
Coronary artery disease −5.60 (−8.79, −2.41) <0.001
Body mass index
(per 10 kg/m2)
−4.60 (−5.82, −3.39) <0.001
4b. Global Mental Health
Dependent Outcome Predictor Mean difference (95% CI) p-value AIC
Global Mental Health Surgery vs. pessary 0.163 (−1.47, 1.80) 0.845 3751.65
Age (per decade)  1.82 (1.15, 2.49) <0.001
Constipation −3.06 (−5.05, −1.07) 0.003
Fecal incontinence −3.62 (−6.14, −1.10) 0.005
Pelvic pain −5.52 (−8.79, −2.25) <0.001
Coronary artery disease −5.91 (−9.50, −2.32) 0.001
*

A similar model also performed well that included age rather than menopause; in this model, increasing age (per decade) was associated with mean difference (95%CI) of 0.70 (0.10, 1.13; p=0.023), with minimal changes in the other predictor results (AIC 3644.7).

PROMIS, Patient-Reported Outcomes Measurement Information System; AIC, Akaike Information Criterion

Individual Global Health Scale item responses demonstrated small differences in surgery vs. pessary groups (Supplemental Table 1). Patients undergoing surgery were less frequently able to carry out every day physical activities, had more fatigue and more pain than patients planning pessary (median (IQR) 4 (3,5) vs. 5 (4,5), p=0.036); 2 (2,3) vs. 2 (2,3), P=0.02; and 2 (0,4) vs. 2 (0,3), P=0.01, respectively). Surgical patients also were more often bothered by emotional problems than pessary patients (median (IQR) 2 (2,3) vs. 2 (1,3), P=0.03).

Discussion

We present a comprehensive description of QOL outcomes in participants in a real-world, national registry of women seeking POP treatment. Approximately half of registry participants provided patient-reported data and were included. Our hypothesis was that women who chose pessary would have worse generic QOL. However, women who underwent surgery for POP had slightly worse physical generic QOL and similar mental generic QOL relative to those who selected a pessary. The small difference in physical health status between these groups was statistically significant but is likely too small to represent a meaningful clinical difference. The PROMIS Global Health Scale scores correlated with condition-specific QOL scores. In multivariable models, age and menopause were associated with better generic health-related QOL, whereas pelvic pain, defecatory disorders, and other medical comorbidities were associated with worse generic health-related QOL.

To our knowledge, this is the first study to use the PROMIS Global Health Scale to assess generic QOL in POP patients. One prior study of women undergoing surgery for POP tested a longer PROMIS generic QOL instrument, the PROMIS-57.17 Similar to our findings, the PROMIS-57 domains correlated with preoperative PFDI-20 and PFIQ-7 scores. The PROMIS −57 does not provide summary scores, thus inhibiting comparison of our Global Health summary scores with that population.

The women seeking POP treatment in the PFDR-R had baseline Global Physical Health and Global Mental Health scores just above or below 50, suggesting generic QOL (mental/physical health status) similar to the overall U.S. population. The U.S. norms specific to women include means of 49.1 and 49.4 for Global Physical Health and Global Mental Health scores, respectively. Age-specific mean values range from 48.2 to 51.0 for Global Physical Health and 48.2 to 53.1 for Global Mental Health in adults 45–75 years.18 Considering these subpopulation norms, the PFDR-R Global Physical Health scores are similar to the women-specific U.S. mean. The PFDR-R Global Mental Health scores of 51.4 and 51.9 for surgery and pessary groups, respectively, appear slightly higher (better mental health) than the women-specific U.S. population mean. Our study population (women presenting for POP treatment) was older on average than the overall U.S. population. Interestingly, in the PFDR-R we found increasing age was associated with better general physical and mental health status. Age-specific scores for Global Mental Health from the general U.S. population are also highest in the oldest age group (75 years and older) suggesting this phenomenon (better mental status scores in older people) is not unique to women with POP.18 This finding may also result from healthy subject bias, if older patients with better physical and/or mental health were more likely to participate in the PFDR-R than those with poorer health.

In the PFDR-R, coronary artery disease and other medical co-morbidities were associated with poorer generic QOL. Pelvic pain and constipation were also associated with worse physical and mental QOL scores; fecal incontinence was associated with worse mental QOL. Previous research has demonstrated the negative impact of fecal incontinence on generic QOL,19 but studies on the generic QOL impact of co-occurring pelvic floor disorders are sparse. Richter et al,20 studied women with POP planning sacrocolpopexy with and without SUI, and reported women with co-occurring pelvic floor disorders (SUI and POP) had poorer physical and mental component scores on the SF-36 than women with only POP. In the PFDR-R, urinary incontinence (stress, mixed and urgency urinary incontinence) were not associated with reduced generic QOL.

We rejected our hypothesis that patients selecting pessary treatment would have poorer generic QOL scores. Pessary treatment was historically recommended for elderly women and those with high surgical risk, but today pessaries are considered a viable, long-term, non-surgical option for all women. Although the difference was small, PFDR-R participants who elected surgery had lower physical generic QOL scores. Surgical patients were more likely to report difficulty in carrying out every day physical activities, fatigue and pain, and they had greater functional impact from their prolapse symptoms than women who elected pessary. This suggests they may have elected surgery to achieve greater (or more definitive) resolution of symptom bother.

Our results demonstrate the utility of including a generic QOL assessment in POP research both to better describe a study population and to more broadly assess treatment impact. Use of condition-specific QOL assessments limits comparisons with outcomes in other surgical fields or across other health conditions. A recent study combining data from 4 large multicenter POP surgical trials concluded that assessments of generic QOL are valid and responsive to POP treatment and recommended inclusion of generic health-related QOL measures in future trials.21

The PFDR-R is the first multicenter national registry of patients seeking POP treatment. It was built to supplement real-world patient care with additional patient-reported and clinical data to support rigorous characterization of the impact of POP treatment on objective outcomes, subjective symptoms, and QOL. Because strict inclusion criteria in many controlled randomized studies often exclude a true heterogeneous population, registry data can inform decision-making across a broader patient population. Our study is also strengthened by the robust sample size, including women from 11 different U.S. sites, as well as the use of validated, self-administered instruments, including the new PROMIS Global Health Scale, a generic QOL instrument that allows comparison with results from other populations. We also acknowledge study limitations. Although only 57% of PFDR-R patients provided baseline questionnaire data, differences between those who did and did not provide these data were small. We performed many analyses in this study and did not adjust statistically for multiple comparisons. Thus, our secondary results should be considered exploratory. Lastly and importantly, our study population lacked racial and ethnic diversity, potentially limiting generalizability of our results.

Generic health-related QOL provides important information about a population’s overall mental and physical health status. Our results improve understanding of generic QOL in women seeking POP care by providing data from a generalizable cohort. We did not identify major differences in generic physical and mental health QOL in patients seeking surgery versus pessary treatment, but we did find that associated pelvic pain and constipation were associated with poorer physical and mental health status. Future investigations in this rich patient registry will examine generic and condition-specific QOL changes following POP treatment.

Supplementary Material

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Funding:

This research was supported by the American Urogynecologic Society (AUGS). This study was also supported in part by the University of Iowa Institute for Clinical and Translational Science, which is granted with Clinical and Translational Science Award funds from the National Institutes of Health (UL1TR002537).

Conflicts:

Bradley – no conflict

Brown – Career development award support (K12 DK100022, PI Bjorling). Consultant for Grand Rounds, Inc. Royalties from Wolters-Kluwer (UpToDate, Inc. author)

Shippey – no conflict

Gutman – consultant and research (unrestricted grant plus site PI Uphold LITE FDA trial) Boston Scientific; expert witness sling class action cases Johnson & Johnson

Andy- no conflict

Yurteri-Kaplan – no conflict

Kudish – consultant for Intuitive Surgical Company

Mehr – no conflict

O’Boyle-no conflict

Foster – no conflict

Anger – no conflict

Conti – no conflict

Ten Eyck – no conflict

Moalli – received unrestricted research grant from Boston Scientific 2017–2019

Footnotes

Disclaimer:

The views expressed in this manuscript are those of the authors and do not reflect the official policy or position of the Department of the Army, the Department of Defense, or the US government.

Contributor Information

Catherine S. Bradley, University of Iowa Carver College of Medicine, Iowa City, IA.

Heidi W. Brown, University of Wisconsin School of Medicine & Public Health, Madison, WI.

Stuart S. Shippey, Riverside Health System, Newport News, VA.

Robert E. Gutman, Georgetown University/MedStar Washington Hospital Center, Washington, DC.

Uduak U. Andy, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.

Ladin A. Yurteri-Kaplan, Columbia University Irving Medical Center, New York, NY.

Bela Kudish, University of Central Florida, Orlando, FL.

Allen Mehr, Department of Obstetrics and Gynecology, Tripler Army Medical Center, Honolulu, Hawaii.

Amy O’Boyle, Providence Medical Group, Olympia, WA.

Sr Raymond T. Foster, University of Missouri School of Medicine, Columbia, MO.

Jennifer T. Anger, Cedars-Sinai Medical Center, Los Angeles, CA.

Galen Conti, American Urogynecologic Society, Silver Spring, MD.

Patrick Ten Eyck, University of Iowa Institute for Clinical and Translational Science, Iowa City, IA.

Pamela A. Moalli, Magee Women’s Hospital of the University of Pittsburgh, Magee Women’s Research Institute, Pittsburgh, PA.

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