L. Wandner

A Systematic Review of Technology-assisted Self-Management Interventions for Chronic Pain: Looking Across Treatment Modalities.

Objectives:The use of technology to provide chronic pain self-management interventions has increased in the recent years. Individual studies have primarily focused on a single technology-assisted modality and direct comparisons of different technology-assisted modalities are rare. Thus, little is known about the relative strengths and weaknesses of each technology-assisted modality. Materials and Methods:This article is a systematic review of technology-assisted self-management interventions for chronic nonheadache, noncancer pain in adults. We examined 3 treatment modalities: telephone, interactive voice response, and Internet. Electronic searches of OVID MEDLINE, OVID PsychINFO, and the Cochrane Database of Systematic Reviews were conducted. Forty-four articles including 9890 participants were reviewed. Results:Across modalities, the existing evidence suggests that technology-assisted psychological interventions are efficacious for improving self-management of chronic pain in adults. All modalities have been shown to provide benefit and no clearly superior modality has emerged. The primary gaps in the literature are lack of in-person comparison groups, lack of direct comparison among technology-assisted modalities, and heterogeneity of methods and interventions that limit comparability across studies and modalities. Discussion:Future trials should focus on direct comparisons of technology-assisted interventions with in-person treatment and head to head comparisons of different technology-assisted modalities. Additional areas of focus include quantifying the cost of technology-assisted interventions, examining the effect of treatment “dose” on outcomes, and establishing guidelines for developing treatments for the technology-assisted environment.

The musculoskeletal diagnosis cohort: Examining pain and pain care among veterans

Abstract Musculoskeletal disorders (MSDs) are highly prevalent, painful, and costly disorders. The MSD Cohort was created to characterize variation in pain, comorbidities, treatment, and outcomes among patients with MSD receiving Veterans Health Administration care across demographic groups, geographic regions, and facilities. We searched electronic health records to identify patients treated in Veterans Health Administration who had ICD-9-CM codes for diagnoses including, but not limited to, joint, back, and neck disorders, and osteoarthritis. Cohort inclusion criteria were 2 or more outpatient visits occurring within 18 months of one another or one inpatient visit with an MSD diagnosis between 2000 and 2011. The first diagnosis is the index date. Pain intensity numeric rating scale (NRS) scores, comorbid medical and mental health diagnoses, pain-related treatments, and other characteristics were collected retrospectively and prospectively. The cohort included 5,237,763 patients; their mean age was 59, 6% were women, 15% identified as black, and 18% reported severe pain (NRS ≥ 7) on the index date. Nontraumatic joint disorder (27%), back disorder (25%), and osteoarthritis (21%) were the most common MSD diagnoses. Patients entering the cohort in recent years had more concurrent MSD diagnoses and higher NRS scores. The MSD Cohort is a rich resource for collaborative pain-relevant health service research.

Virtual human technology: patient demographics and healthcare training factors in pain observation and treatment recommendations

Background Patients’ sex, race, and age have been found to affect others’ perception of their pain. However, the influence of these characteristics on treatment recommendations from laypersons and healthcare providers is understudied. Design To address this issue, 75 undergraduates and 107 healthcare trainees (HTs) used a web-based delivery system to view video clips of virtual human (VH) patients presenting with different standardized levels of pain. Subjects then rated the VHs’ pain intensity and recommended the amount of medical treatment the VHs should receive. Results Results indicated that, compared with undergraduates, HTs perceived African Americans and older adults as having less pain but were more willing to recommend medical treatment for these patients than were undergraduate participants. HTs and undergraduates rated female, African American, older, and high-pain-expressing adults as having greater pain intensity than male, Caucasian, younger, and lower-pain-expressing adults. Moreover, they also recommended that female, older, and high-pain-expressing adults receive more medical treatment than male, younger, and lower-pain-expressing adults. Conclusions This study found that the characteristics of the VHs and whether the participants were undergraduates or HTs influenced the ratings of pain assessment and treatment recommendations. The findings are consistent with the previous VH literature showing that VH characteristics are important cues in the perception and treatment of pain. However, this is the first study to identify differences in pain-related decisions between individuals who are pursuing healthcare careers and those who are not. Finally, not only does this study serve as further evidence for the validity and potential of VH technology but also it confirms prior research that has shown that biases regarding patient sex, race, and age can affect pain assessment and treatment.

Using Virtual Human Technology to Capture Dentists’ Decision Policies about Pain

Healthcare professionals use race, gender, and age cues when making pain management decisions. Use of these demographic cues, therefore, is an important topic in the study of healthcare disparities. This study used virtual human (VH) technology to investigate the effects of VH patients’ demographic cues on dentists’ pain management decisions. Eighty-nine dentists viewed patients with different demographic cues. Analyses revealed that dentists rated pain intensity higher and were more willing to prescribe opioids to female, African-American, and younger patients than to their demographic counterparts. Results also found significant 2-way interactions between race and age for both pain assessment and treatment decisions. The interaction results suggest that the race difference (Caucasian < African American) was more pronounced for younger than for older patients. This is the first study to examine demographic cue use in dentists’ decision-making for pain. The study found that dentists used demographic cues when making pain management decisions. Currently, there are no guidelines for decision- making practices for gender-, race-, or age-related pain. Since dentists see thousands of patients during their careers, the use of demographic cues could affect a substantial portion of the population. The findings could improve future training programs for dentists and dental students.

The influence of sex, race, and age on pain assessment and treatment decisions using virtual human technology: a cross-national comparison

Purpose Studies in the United States have found that patients’ sex, race, and age influence the pain assessment and treatment decisions of laypeople and medical professionals. However, there is limited research as to whether people of other nationalities make pain management decisions differently based on demographic characteristics. Therefore, the purpose of the following study was to compare pain assessment and treatment decisions of undergraduate students in Jordan and the United States as a preliminary examination of nationality as a potential proxy for cultural differences in pain decisions. Methods Virtual human (VH) technology was used to examine the influences of patients’ sex (male or female), race (light-skinned or dark-skinned), and age (younger or older) on students’ pain management decisions. Seventy-five American and 104 Jordanian undergraduate students participated in this web-based study. Results American and Jordanian students rated pain intensity higher in females and older adults and were more likely to recommend medical help to these groups, relative to males and younger adults. Furthermore, Jordanian participants rated pain intensity higher and were more likely to recommend medical help for all patient demographic groups (ie, sex, race, age) than American participants. Conclusion This is the first cross-national study that compares pain decisions between undergraduate students. The results suggest that sex, race, and age cues are used in pain assessment and treatment by both Americans and Jordanians, with Jordanians more likely to rate pain higher and recommend medical help to patients. Additional research is needed to determine the cultural determinants of these differences.

effect of a perspective-taking intervention on the consideration of pain assessment and treatment decisions

Objectives Pain is often poorly managed, highlighting the need to better understand and treat patients’ pain. Research suggests that pain is assessed and treated differently depending on patient sex, race, and/or age. Perspective-taking, whereby one envisions the perspective of another, has been found to reduce racial disparities in pain management. This study used virtual human (VH) technology to examine whether a perspective-taking intervention impacts pain management decisions. Methods Ninety-six participants were randomized to an online treatment or control group and viewed 16 video clips of VHs with standardized levels of pain. Participants provided ratings on the VHs’ pain intensity and their willingness to administer opioids to them. The intervention group received a brief perspective-taking intervention that consisted of having participants imagine how the patient’s suffering could affect his/her life, whereas the control group was asked to wait for the next VH videos to load. A LENS model analysis was used to investigate both group level (nomothetic) and individual level (idiographic) decision policies. A LENS model of analysis is typically used as an analog method for capturing how groups of people and individuals use information in their environment to form judgments. Results Nomothetic results found that participants rated pain higher and were more likely to prescribe opioids to VHs postintervention, irrespective of group. Idiographic results, however, found that the use of cues to make pain management decisions was mitigated by the perspective-taking group. The participants in the perspective-taking group were more likely to think about pain and the patients’ perspective during the intervention, while control participants were more likely to reflect on the VHs’ sex, race, or age. Conclusion A brief intervention may alter participants’ pain management decisions. These results indicate that a brief intervention might be an initial step toward aligning observers’ pain management ratings with those of the patient. Future research is needed to replicate findings in a health care population.

The Role of Anger in Psychosocial Subgrouping for Patients with Low Back Pain

Background:Low back pain (LBP) is a common and costly condition that often becomes chronic if not properly addressed. Recent research has shown that psychosocial symptoms can complicate LBP, necessitating more comprehensive screening measures. Aim:The present study investigated the role of psychosocial factors, including anger regulation, in pain and disability using a screening measure designed for LBP treated with physical therapy. Methods:One hundred three LBP patients initiating physical therapy completed an established screening measure to assess risk for developing chronic pain, and psychosocial measures assessing anger, depression, anxiety, fear-avoidance, and pain-catastrophizing before and after 4 weeks of treatment. Dependent variables were pain intensity, physical impairment, and patient-reported disability. Risk subgrouping based on anger and other psychosocial measures was examined using established screening methods and through using an empirical statistical approach. Results:Analyses revealed that risk subgroups differed according to corresponding levels of negative affect, as opposed to anger alone. General psychosocial distress also predicted disability posttreatment, but, interestingly, did not have a strong relationship to pain. Subsequent hierarchical agglomerative clustering procedures divided patients into overall high-distress and low-distress groups, with follow-up analyses revealing that the high-distress group had higher baseline measures of pain, disability, and impairment. Conclusions:Findings suggest that anger may be part of a generalized negative affect rather than a unique predictor when assessing risk for pain and disability in LBP treatment. Continued research in the area of screening for psychosocial prognostic indicators in LBP may ultimately guide treatment protocols in physical therapy for more comprehensive patient care.

Pain Assessment and Treatment Decisions for Virtual Human Patients

Laypeople and healthcare professionals use demographic cues when making pain management decisions. These decisions can negatively affect patient outcomes. This study examined whether laypeople base their pain management decisions in part on pain-related postures and demographic cues. Virtual human (VH) technology was used to research whether sex and race, as well as body posture, influenced pain management decisions. Ninety-seven laypersons examined VH patients exhibiting low back pain related body postures whose demographic cues varied by VH sex and VH race. T tests validated that participants were able to distinguish between high pain related body postures and low pain related body postures. The participants assessed male VH patients to be experiencing more pain than female VH patients. This study suggests that participants use sex as a cue when assessing pain. Participants may perceive VH male patients as experiencing high pain intensity if the participants are willing to counter male stereotypes and acknowledge that the male VH patients display pain behaviors.

Racial and Ethnic Differences in Total Knee Arthroplasty in the Veterans Affairs Healthcare System (2001 – 2013)

To examine black‐white and Hispanic‐white differences in total knee arthroplasty from 2001 to 2013 in a large cohort of patients diagnosed with osteoarthritis (OA) in the Veterans Affairs (VA) health care system.

Using Virtual Human Technology to Examine Weight Bias and the Role of Patient Weight on Student Assessment of Pediatric Pain

The purpose of the study was to investigate the influence of weight bias and demographic characteristics on the assessment of pediatric chronic pain. Weight status, race, and sex were manipulated in a series of virtual human (VH) digital images of children. Using a web-based platform, 96 undergraduate students with health care-related majors (e.g., Health Science, Nursing, Biology, and Pre-Medicine) read a clinical vignette and provided five ratings targeting the assessment of each VH child’s pain. Students also answered a weight bias questionnaire. Group-based analyses were conducted to determine the influence of the VH child’s weight and demographic cues, as well as greater weight bias on assessment ratings. Male and VH children with obesity were rated as more likely to avoid non-preferred activities due to pain compared to female and healthy weight children, respectively (both p < .001). The pain of VH children with obesity was rated as more likely to be influenced by psychological/behavioral issues compared to the pain of healthy weight VH children (p = .022). African American VH children were rated as experiencing significantly greater pain than Caucasian VH children (p = .037). As child weight increased, low weight bias participants felt more sympathy, while high weight bias participants felt less sympathy (p = .002). Also, low weight bias participants showed increased motivation to help, while high weight bias participants showed less motivation to help, as VH patient weight increased (p = .008). Child weight and evaluator weight bias may be influential in the assessment of pediatric pain. If supported by future research, results highlight the importance of training in evidence-based practice and education on weight bias for students majoring in health-care fields.