X. Chen

Self-report pain and symptom measures for primary dysmenorrhoea: A critical review

Primary dysmenorrhoea (PD) is highly prevalent among women of reproductive age and it can have significant short‐ and long‐term consequences for both women and society as a whole. Validated symptom measures are fundamental for researchers to understand womens symptom experience of PD and to test symptom interventions. The objective of this paper was to critically review the content and psychometric properties of self‐report tools to measure symptoms of PD. Databases including PubMed, PsychoINFO, Cumulative Index of Nursing and Allied Health Literature, and Health and Psychosocial Instruments were searched for self‐report symptom measures that had been used among women with either PD or perimenstrual symptoms. A total of 15 measures met inclusion criteria and were included in the final analysis. The measures were categorized into generic pain measures, dysmenorrhoea‐specific measures, and tools designed to measure perimenstrual symptoms. These measures had varying degrees of comprehensiveness of symptoms being measured, relevance to PD, multidimensionality and psychometric soundness. No single measure was found to be optimal for use, but some dysmenorrhoea‐specific measures could be recommended if revised and further tested. Key issues in symptom measurement for PD are discussed. Future research needs to strengthen dysmenorrhoea‐specific symptom measures by including a comprehensive list of symptoms based on the pathogenesis of PD, exploring relevant symptom dimensions beyond symptom severity (e.g., frequency, duration, symptom distress), and testing psychometric properties of the adapted tools using sound methodology and diverse samples.

Estimating minimally important differences for the PROMIS pain interference scales: results from 3 randomized clinical trials

Abstract Minimally important difference (MID) refers to the smallest meaningful difference that carries implications for patient care. Minimally important differences are necessary to help interpret patient-reported pain outcomes in research and clinical practice. The PROMIS pain interference scales were validated across diverse samples; however, more information about their MIDs could improve their interpretability. The purpose of this study was to estimate MIDs for 4 fixed-length PROMIS pain interference scales, including the 6-item Pain Short Form and the 4-, 6-, and 8-item pain interference scales used in the PROMIS profile instruments. Data were analyzed from 3 randomized controlled trials (N = 759). The 3 samples, respectively, consisted of patients with chronic low back pain (n = 261), chronic back pain or hip/knee osteoarthritis pain (n = 240), and a history of stroke (n = 258). For each sample, anchor- and distribution-based approaches were used to estimate MIDs. Standard error of measurement and effect sizes were used as distribution-based MID estimates. Anchor-based MID estimates were established by mapping PROMIS pain interference scores onto established anchor measures, including the Brief Pain Inventory, and retrospective and prospective global ratings of change. The distribution- and anchor-based MID estimates showed convergence. For the pain samples, MID estimates ranged from 2 to 3 T-score points. For the nonpain sample, MID estimates ranged from 3.5 to 4.5 T-score points. The MID estimates were comparable across the 4 fixed-length scales. These MIDs can be used to evaluate treatment effects in research and clinical care and to calculate estimates for powering clinical trials.

Beliefs About Dysmenorrhea and Their Relationship to Self-Management

Dysmenorrhea is highly prevalent and is the leading cause of work and school absences among women of reproductive age. However, self-management of dysmenorrhea is not well understood in the US, and little evidence is available on factors that influence dysmenorrhea self-management. Guided by the Common Sense Model, we examined womens representations of dysmenorrhea (beliefs about causes, symptoms, consequences, timeline, controllability, coherence, and emotional responses), described their dysmenorrhea self-management behaviors, and investigated the relationship between representations and self-management behaviors. We conducted a cross-sectional, web-based survey of 762 adult women who had dysmenorrhea symptoms in the last six months. Participants had varied beliefs about the causes of their dysmenorrhea symptoms, which were perceived as a normal part of life. Dysmenorrhea symptoms were reported as moderately severe, with consequences that moderately affected daily life. Women believed they understood their symptoms moderately well and perceived them as moderately controllable but them to continue through menopause. Most women did not seek professional care but rather used a variety of pharmacologic and complementary health approaches. Care-seeking and use of self-management strategies were associated with common sense beliefs about dysmenorrhea cause, consequences, timeline, and controllability. The findings may inform development and testing of self-management interventions that address dysmenorrhea representations and facilitate evidence-based management.

Symptoms-Based Phenotypes Among Women With Dysmenorrhea: A Latent Class Analysis

Dysmenorrhea is highly prevalent and may increase women’s risk for developing other chronic pain conditions. Although it is highly variable, symptom-based dysmenorrhea phenotypes have not been identified. The aims of the study were to identify symptom-based dysmenorrhea phenotypes and examine their relationships with demographic and clinical characteristics. In a cross-sectional study, 762 women with dysmenorrhea rated severity of 14 dysmenorrhea-related symptoms. Using latent class analysis, we identified three distinctive phenotypes. Women in the “mild localized pain” phenotype (n = 202, 26.51%) had mild abdominal cramps and dull abdominal pain/discomfort. Women in the “severe localized pain” phenotype (n = 412, 54.07%) had severe abdominal cramps. Women in the “multiple severe symptoms” phenotype (n = 148, 19.42%) had severe pain at multiple locations and multiple gastrointestinal symptoms. Race, ethnicity, age, and comorbid chronic pain conditions were significantly associated with phenotypes. Identification of these symptom-based phenotypes provides a foundation for research examining genotype–phenotype associations, etiologic mechanisms, and/or variability in treatment responses.

Validity, cut-points, and minimally important differences for two hot flash-related daily interference scales

Objectives: To conduct psychometric analyses to condense the Hot Flash-Related Daily Interference Scale (HFRDIS) into a shorter form termed the Hot Flash Interference (HFI) scale; evaluate cut-points for both scales; and establish minimally important differences (MIDs) for both scales. Methods: We analyzed baseline and postrandomization patient-reported data pooled across three randomized trials aimed at reducing vasomotor symptoms (VMS) in 899 midlife women. Trials were conducted across five MsFLASH clinical sites between July 2009 and October 2012. We eliminated HFRDIS items based on experts’ content validity ratings and confirmatory factor analysis, and evaluated cut-points and established MIDs by mapping HFRDIS and HFI to other measures. Results: The three-item HFI (interference with sleep, mood, and concentration) demonstrated strong internal consistency (alphas of 0.830 and 0.856), showed good fit to the unidimensional “hot flash interference factor,” and strong convergent validity with HFRDIS scores, diary VMS, and menopausal quality of life. For both scales, cut-points of mild (0-3.9), moderate (4-6.9), and severe (7-10) interference were associated with increasing diary VMS ratings, sleep, and anxiety. The average MID was 1.66 for the HFRDIS and 2.34 for the HFI. Conclusions: The HFI is a brief assessment of VMS interference and will be useful in busy clinics to standardize VMS assessment or in research studies where response burden may be an issue. The scale cut-points and MIDs should prove useful in targeting those most in need of treatment, monitoring treatment response, and interpreting existing and future research findings.

Postdoctoral Opportunities for Nursing PhD Graduates: A Resource Guide

Before completing a nursing PhD program, doctoral students are encouraged to seek out and apply for a position in one of many, often highly competitive postdoctoral programs. These programs include the more traditional National Institutes of Health (NIH) funded experiences, such as the T32, as well as the nontraditional institution funded positions, including the associate faculty role. Graduates often need guidance on which postdoctoral programs are available, the resources each program offers to promote development of the applicant’s program of research, the disadvantages of each program, and what each program uses as benchmarks for success. This article summarizes both traditional and nontraditional postdoctoral positions including the T32, F32, F99/K00, T90/R90, research supplements, associate faculty, research associate, and hospital-affiliated postdoctoral positions. This article updates previous papers describing postdoctoral opportunities and offers a starting place to aide PhD students planning their postgraduate activities in seeking and evaluating these positions.

What women say about their dysmenorrhea: a qualitative thematic analysis

BackgroundDysmenorrhea is highly prevalent and is the leading cause of absence from school and work among women of reproductive age. Evidence suggests that dysmenorrhea may also be a risk factor for other chronic pain conditions. Limited research has examined women’s experience with dysmenorrhea using qualitative data. Research is warranted to address issues and needs that are important from women’s own perspectives. Therefore, the purpose of this study was to describe women’s salient thoughts about their experiences of dysmenorrhea.MethodsWe analyzed data collected from an open-ended question within a cross-sectional survey study conducted in the United States. Using qualitative thematic analysis, free text responses to a question asking women to share their experience with dysmenorrhea were analyzed.ResultsThe sample consisted of 225 women who provided valid responses to the open-ended question. Six themes were identified: (1) The dysmenorrhea symptom experience varied among women; (2) The dysmenorrhea symptom experience varied across time, (3) A variety of factors influenced the dysmenorrhea symptom experience, (4) Dysmenorrhea symptoms could have a negative impact on the women’s daily lives, (5) Dysmenorrhea was not seen as a legitimate health issue by the women, health care providers, or society, and (6) Treatment for women with dysmenorrhea varied in acceptability and effectiveness.ConclusionsThe findings of this study have important implications for dysmenorrhea symptom assessment and the development of personalized interventions to support dysmenorrhea management.

Menopause and big data: Word Adjacency Graph modeling of menopause-related ChaCha data

Objective: To detect and visualize salient queries about menopause using Big Data from ChaCha. Methods: We used Word Adjacency Graph (WAG) modeling to detect clusters and visualize the range of menopause-related topics and their mutual proximity. The subset of relevant queries was fully modeled. We split each query into token words (ie, meaningful words and phrases) and removed stopwords (ie, not meaningful functional words). The remaining words were considered in sequence to build summary tables of words and two and three-word phrases. Phrases occurring at least 10 times were used to build a network graph model that was iteratively refined by observing and removing clusters of unrelated content. Results: We identified two menopause-related subsets of queries by searching for questions containing menopause and menopause-related terms (eg, climacteric, hot flashes, night sweats, hormone replacement). The first contained 263,363 queries from individuals aged 13 and older and the second contained 5,892 queries from women aged 40 to 62 years. In the first set, we identified 12 topic clusters: 6 relevant to menopause and 6 less relevant. In the second set, we identified 15 topic clusters: 11 relevant to menopause and 4 less relevant. Queries about hormones were pervasive within both WAG models. Many of the queries reflected low literacy levels and/or feelings of embarrassment. Conclusions: We modeled menopause-related queries posed by ChaCha users between 2009 and 2012. ChaCha data may be used on its own or in combination with other Big Data sources to identify patient-driven educational needs and create patient-centered interventions.

Validating the Postdischarge Surgical Recovery Scale 13 as a Measure of Perceived Postoperative Recovery after Laparoscopic Sacrocolpopexy

Objectives No postoperative recovery measurement tools have been validated among women undergoing laparoscopic sacrocolpopexy for pelvic organ prolapse, which impedes development and testing of strategies to improve recovery. The purpose of this study was to evaluate the performance of the Postdischarge Surgical Recovery Scale (PSR) as a measure of perceived recovery in laparoscopic sacrocolpopexy patients. Methods Women (N = 120) with stage 2 or higher pelvic organ prolapse undergoing laparoscopic sacrocolpopexy completed a 15-minute postoperative survey (days 7, 14, 42, and 90 [each ± 3 days]) which included the 15-item PSR. A confirmatory factor analysis was conducted using data from 14 days postsurgery, when patients would have begun to recover, but there was likely to be substantial variability in recovery across patients. We also assessed validity and explored sensitivity to change over time and minimally important difference values. Results Confirmatory factor analysis indicated a good fitting model for a reduced version of the PSR (ie, PSR13). Regressions showed that the PSR13 prospectively predicted single-item recovery scores. The PSR13 recovery significantly improved from days 7 to 42, suggesting the PSR13 is sensitive to change. Descriptive statistics including minimally important differences are reported. The minimally important difference was estimated to be around 5 points. Conclusions The PSR13 is a psychometrically sound tool for measuring recovery over time in this population. Its short length makes it an ideal postoperative recovery measure in clinical practice or research.