Dissertation Topics in Nursing.

BACKGROUND: Few quantitative studies have documented the types of research topics most commonly employed by nursing PhD students and whether they differ by program delivery (in-person vs. online/hybrid programs). OBJECTIVES: We examined a large set of publicly available PhD dissertation abstracts to (a) describe the relative prevalence of different research topics and methods and (b) test whether the primary topics and methods used differed between online or hybrid and in-person PhD programs. A secondary goal was to introduce the reader to modern text-mining approaches to generate insights from a document corpus. METHODS: Our database consisted of 2,027 dissertation abstracts published between 2015 and 2019. We used a structural topic modeling text-mining approach to explore PhD students' research topics and methods in United States-based doctoral nursing programs. RESULTS: We identified 24 different research topics representing a wide range of research activities. Most of the research topics identified did not differ in prevalence between online/hybrid and in-person programs. However, online/hybrid programs were more likely to engage students in research focused on nursing education, professional development, work environment, simulation, and qualitative analysis. Pediatrics, sleep science, older adults and aging, and chronic disease management were more prevalent topics in in-person-only programs. DISCUSSION: The range of topics identified highlights the breadth of research nursing PhD students' conduct. Both in-person and online/hybrid programs offer a range of research opportunities, although we did observe some differences in topic prevalence. These differences could be due to the nature of some types of research (e.g., research that requires an in-person presence) or differences in research intensity between programs (e.g., amount of grant funding or proximity to a medical center). Future research should explore why research topic prevalence may vary by program delivery. We hope that this text-mining application serves as an illustrative example for researchers considering how to draw inferences from large sets of text documents. We are particularly interested in seeing future work that might combine traditional qualitative approaches and large-scale text mining to leverage the advantages of each.

Chronic Pain Clinical and Prescriptive Practices in the Cannabis Era.

BACKGROUND: To explore how health care providers in the United States are adapting clinical recommendations and prescriptive practices in response to patient use of medical cannabis (MC) for chronic pain symptoms. DESIGN: Literature searches queried MeSH/Subject terms "chronic pain," "clinician," "cannabis," and Boolean text words "practice" and "analgesics" in EBSCOHost, EMBASE, PubMed, and Scopus, published 2010-2021 in the United States. Twenty-one primary, peer-reviewed studies met criteria. METHODS: Studies are synthesized under major headings: recommending MC for chronic pain; MC and prescription opioids; and harm reduction of MC. RESULTS: MC is increasingly utilized by patients for chronic pain symptoms. Clinical recommendations for or against MC are influenced by scopes of practice, state or federal laws, institutional policies, education, potential patient harm (or indirect harm of others), and perceived confidence. Epidemiologic and cohort studies show downward trajectories of opioid prescribing and consumption in states with legal cannabis. However, clinicians' recommendations and prescription practices are nonuniform. Impacts of cannabis laws are clear between nongovernmental and governmental institutions. Strategies addressing MC and opioid use include frequent visits, and, to reduce harm, suggesting alternative therapies and treating substance use disorders. CONCLUSIONS: MC use for chronic pain is increasing with cannabis legalization. Provider practices are heterogenous, demonstrating a balance of treating chronic pain using available evidence, while being aware of potential harms associated with MC and opioids.

Validating the revised Symptom Impact Questionnaire with a proposed fibromyalgia phenotype using experimentally-induced pain and patient self-reports.

OBJECTIVES: The Symptom Impact Questionnaire (SIQR), now used for over a decade, has strong psychometric properties based on patients' subjective questionnaire data and correlations with other general measures of severity. However, the construct validity of the SIQR in assessing the central features of fibromyalgia (FM) has not been tested specifically with more objective measures. This study examined the construct validity of the SIQR using clinical examination of prominent features of FM, as well as patient questionnaire data. METHODS: We determined if SIQR severity groups (low, moderate, high severity) in 158 chronic pain patients (50 FM, 108 Pain/No FM) predicted four central features of FM tenderness and pain: digital palpation tenderness, blood pressure cuff evoked pain, widespread pain locations, and a persistent deep ache question. RESULTS: Low, moderate, and high SIQR severity groups showed concomitant increases in tenderness in response to digital evoked palpation (F=23.5; p<0.0000; ηp2=0.23; MR=.54), blood pressure cuff evoked pain (F=17.0; p<0.0000; ηp2=0.18; MR=0.48) and number of pain location (F=38.8; p<0.0000; ηp2=0.33; MR.59). Strongest differences in SIQR severity were found in response to the question, "I have a persistent deep aching over most of my body" (F=87.5; p<0.0000; ηp2=0.53; MR=0.74). CONCLUSIONS: The SIQR strongly predicts the central features of FM tenderness and pain including its widespreadness and its multifaceted character. We propose that tenderness, both locally and over most of the body, attendant to the SIQR is the hallmark of the FM phenotype: tenderness is focal, diffuse, deep, and superficial.

Fibromyalgia: A clinical update.

ABSTRACT: Fibromyalgia (FM) is a chronic pain disorder commonly encountered by advanced practice registered nurses in primary and specialty care. Knowing how to recognize FM and its multiple pain and nonpain symptoms facilitates diagnosis. We propose a four-step approach to diagnosis that can reduce costly referrals and treatment delays, and describe evidence-based interventions.

Which symptoms best distinguish fibromyalgia patients from those with other chronic pain disorders?

RATIONALE, AIMS AND OBJECTIVES: The primary purpose of this study was to test both classic and novel FM pain and non-pain symptoms to determine their practical efficacy in aiding clinicians to distinguish FM pain from other chronic pain disorders. METHODS: 158 pain patients from two primary care clinics were evaluated with history, physical exam, chart review, and a questionnaire containing 26 exploratory symptoms (10 from the Symptom Impact Questionnaire (SIQR) and 16 from the FM literature)). The symptoms were rated on a 0-10 VAS for severity by those patients reporting pain over the past week. Somers' D and mean severity differences between FM and chronic pain patients without FM were used to rank the discriminatory and diagnostic contributions of symptoms. RESULTS: Fifty patients (14.2%) carried a chart diagnosis of FM, 108 (30.7%) had pain but not FM, and 192 (54.5%) who had neither pain nor FM. Comparing means between the two pain groups, the 5 best differentiating symptoms (all, P < .0001) were: a persistent deep aching over most of my body, poor balance (7.4 vs 3.1), environmental sensitivity (6.8 vs 3.0), tenderness to touch (6.8 vs 3.6) and pain after exercise (8.1 vs 4.1). Notably, VAS pain though significantly higher for FM was least discriminatory (6.5 vs 5.1, P < .001). The five best symptoms generated a ROC = 0.85 and Somers' D = 0.69, an accuracy of 81%, and an odd's ratio of 14.4. CONCLUSIONS: Our results herein suggest that clinicians may be well-served to consider symptoms in addition to those contained in current diagnostic criteria when recognizing FM in their chronic pain patients.

A simple screening test to recognize fibromyalgia in primary care patients with chronic pain.

RATIONALE, AIMS, AND OBJECTIVES: Primary care providers are increasingly expected to recognize and treat fibromyalgia (FM) without significant interaction with rheumatologists. The purpose of this study was to evaluate the potential usefulness of 3 simple measures (tenderness to digital pressure, BP cuff-evoked pain, and a single patient question) as a screening test for possible FM in a patient with chronic pain. METHODS: A total of 352 patients (mean age 50 ± 16.3 years, 70% female) scheduled for routine examination in 2 primary care practices were studied. They were comprised of 52 patients (14.8%) who carried a chart diagnosis of FM, 108 (30.7%) with chronic pain but not FM, and 192 who had neither pain nor FM (54.5%). Subjects were assessed for tenderness to digital pressure at 10 locations, BP cuff-evoked pain, and a single question, "I have a persistent deep aching over most of my body" (0-10). RESULTS: FM patients endorsed the single deep ache question substantially more than those with chronic pain but without FM (7.4 ± 2.9 vs 3.2 ± 3.4; P < .0001) and exhibited greater bilateral digital evoked tenderness (6.1 ± 3.1 vs 2.4 ± 2.4, P < 0.0001), and BP-evoked pressure pain (132.6 mmHg ±45.5 vs 169.2 mmHg ±48.0, P < 0.0001). However, on multivariate logistic regressions, the BP cuff-evoked pain became non-significant. On further analyses, a useful screening test was provided by: (1) pain on pinching the Achilles tendon at 4 kg/pressure over 4 seconds, and (2) and positive endorsement of the question "I have a persistent deep aching over most of my body". CONCLUSION: These results suggest that 2 tests, taking less than 1 minute, can indicate a probable diagnosis of FM in a chronic pain patient. In the case of a positive screen, a follow-up examination is required for confirmation or refutation.