Health-related social needs information in the emergency department: clinician and patient perspectives on availability and use.

BACKGROUND: Patient health-related social needs (HRSN) complicate care and drive poor outcomes in emergency department (ED) settings. This study sought to understand what HRSN information is available to ED physicians and staff, and how HRSN-related clinical actions may or may not align with patient expectations. METHODS: We conducted a qualitative study using in-depth semi-structured interviews guided by HRSN literature, the 5 Rights of Clinical Decision Support (CDS) framework, and the Contextual Information Model. We asked ED providers, ED staff, and ED patients from one health system in the mid-Western United Stated about HRSN information availability during an ED encounter, HRSN data collection, and HRSN data use. Interviews were recorded, transcribed, and analyzed using modified thematic approach. RESULTS: We conducted 24 interviews (8 per group: ED providers, ED staff, and ED patients) from December 2022 to May 2023. We identified three themes: (1) Availability: ED providers and staff reported that HRSNs information is inconsistently available. The availability of HRSN data is influenced by patient willingness to disclose it during an encounter. (2) Collection: ED providers and staff preferred and predominantly utilized direct conversation with patients to collect HRSNs, despite other methods being available to them (e.g., chart review, screening questionnaires). Patients' disclosure preferences were based on modality and team member. (3) Use: Patients wanted to be connected to relevant resources to address their HRSNs. Providers and staff altered clinical care to account for or accommodate HRSNs. System-level challenges (e.g., limited resources) limited provider and staff ability to address patients HRSNs. CONCLUSIONS: In the ED, HRSNs information was inconsistently available, collected, or disclosed. Patients and ED providers and staff differed in their perspectives on how HSRNs should be collected and acted upon. Accounting for such difference in clinical and administrative decisions will be critical for patient acceptance and effective usage of HSRN information.

Tele-Oncology Use During the COVID-19 Pandemic: Patient Experiences and Communication Behaviors with Clinicians.

Background: Tele-oncology became a widely used tool during the COVID-19 pandemic, but there was limited understanding of how patient-clinician communication occurred using the technology. Our goal was to identify how communication transpired during tele-oncology consultations compared with in-person appointments. Methods: A convergent parallel mixed-method design was utilized for the web-based survey, and follow-up interviews were conducted with cancer patients from March to December 2020. Participants were recruited from the University of Florida Health Cancer Center and two national cancer organizations. During the survey, participants rated their clinician's patient-centered communication behaviors. Open-ended survey responses and interview data were combined and analyzed thematically using the constant comparative method. Results: A total of 158 participants completed the survey, and 33 completed an interview. Ages ranged from 19 to 88 years (mean = 64.2; standard deviation = 13.0); 53.2% identified as female and 44.9% as male. The majority of respondents (76%) considered communication in tele-oncology equal to in-person visits. Preferences for tele-oncology included the ability to get information from the clinician, with 13.5% rating tele-oncology as better than in-person appointments. Tele-oncology was considered worse than in-person appointments for eye contact (n = 21, 12.4%) and virtual waiting room times (n = 50, 29.4%). The following qualitative themes corresponded with several quantitative variables: (1) commensurate to in-person appointments, (2) uncertainty with the digital platform, (3) lack of a personal connection, and (4) enhanced patient experience. Conclusion: Patient-centered communication behaviors were mostly viewed as equally prevalent during tele-oncology and in-person appointments. Addressing the challenges of tele-oncology is necessary to improve the patient experience.

New insights about community benefit evaluation: Using the Community Health Implementation Evaluation Framework to assess what hospitals are measuring.

BACKGROUND: Nonprofit hospitals are required to conduct community health needs assessments (CHNA) every 3 years and develop corresponding implementation plans. Implemented strategies must address the identified community needs and be evaluated for impact. PURPOSE: Using the Community Health Implementation Evaluation Framework (CHIEF), we assessed whether and how nonprofit hospitals are evaluating the impact of their CHNA-informed community benefit initiatives. METHODOLOGY: We conducted a content analysis of 83 hospital CHNAs that reported evaluation outcomes drawn from a previously identified 20% random sample ( n = 613) of nonprofit hospitals in the United States. Through qualitative review guided by the CHIEF, we identified and categorized the most common evaluation outcomes reported. RESULTS: A total of 485 strategies were identified from the 83 hospitals' CHNAs. Evaluated strategies most frequently targeted behavioral health ( n = 124, 26%), access ( n = 83, 17%), and obesity/nutrition/inactivity ( n = 68, 14%). The most common type of evaluation outcomes reported by CHIEF category included system utilization ( n = 342, 71%), system implementation ( n = 170, 35%), project management ( n = 164, 34%), and social outcomes ( n = 163, 34%). PRACTICE IMPLICATIONS: CHNA evaluation strategies focus on utilization (the number of individuals served), with few focusing on social or health outcomes. This represents a missed opportunity to (a) assess the social and health impacts across individual strategies and (b) provide insight that can be used to inform the allocation of limited resources to maximize the impact of community benefit strategies.

Recent tapering from long-term opioid therapy and odds of opioid-related hospital use.

PURPOSE: The number of patients tapered from long-term opioid therapy (LTOT) has increased in recent years in the United States. Some patients tapered from LTOT report improved quality of life, while others face increased risks of opioid-related hospital use. Research has not yet established how the risk of opioid-related hospital use changes across LTOT dose and subsequent tapering. Our objective was to examine associations between recent tapering from LTOT with odds of opioid-related hospital use. METHODS: Case-crossover design using 2014-2018 health information exchange data from Indiana. We defined opioid-related hospital use as hospitalizations, and emergency department (ED) visits for a drug overdose, opioid abuse, and dependence. We defined tapering as a 15% or greater dose reduction following at least 3 months of continuous opioid therapy of 50 morphine milligram equivalents (MME)/day or more. We used conditional logistic regression to estimate odds ratios (OR) with 95% confidence intervals (CI). RESULTS: Recent tapering from LTOT was associated with increased odds of opioid-related hospital use (OR: 1.50, 95%CI: 1.34-1.63), ED visit (OR: 1.52; 95%CI: 1.35-1.72), and inpatient hospitalization (OR: 1.40; 95%CI: 1.20-1.65). We found no evidence of heterogeneity of the effect of tapering on opioid-related hospital use by gender, age, and race. Recent tapering among patients on a high baseline dose (>300 MME) was associated with increased odds of opioid-related hospital use (OR: 2.95, 95% CI: 2.12-4.11, p < 0.001) compared to patients on a lower baseline doses. CONCLUSIONS: Recent tapering from LTOT is associated with increased odds of opioid-related hospital use.

Secure Messaging and COVID-19: A Content Analysis of Patient-Clinician Communication During the Pandemic.

Background: Coronavirus disease 2019 (COVID-19) immediately impacted patient-clinician communication, particularly in the oncology setting. Relatedly, secure messaging (SM) usage greatly increased, yet it is unknown what was discussed and whether the technology was utilized to disseminate information. Aims: This study aimed at identifying the most frequently discussed topics using SM as well as at understanding how the communication process transpired during the early stages of the pandemic. Materials and Methods: A mixed-methods design was utilized, consisting of a content analysis of more than 4,200 secure messages, aggregated into 1,454 patient-clinician discussions. Data were collected from February 2020 to May 2020. Discussions were from various oncology departments and included physicians, physician assistants, and nurses. Based on the identified categories, a thematic analysis was conducted to understand the nuances occurring within discussions. Results: Out of the 1,454 discussions, 26% (n = 373) related to COVID-19. Of the COVID-19 discussion, the most frequently coded category was "changes, adjustments, and re-arranging care" (65%, n = 241), followed by "risk for COVID-19" (24%, n = 90), "precautions inside the hospital" (18%, n = 66), and "precautions outside the hospital" (14%, n = 52). Natural language processing techniques were used to confirm the validity of the results. Thematic analysis revealed that patients were proactive in rescheduling appointments, expressed anxiety about being immunocompromised, and clinicians were uncertain about providing recommendations related to COVID-19. Conclusions: The COVID-19 outbreak revealed the need for responsive and effective public health communication. The SM can disseminate information from trusted sources, clinicians, but can be better utilized to deliver tailored information for specific patient populations.

Student perceptions of a teaching electronic medical record in Health Administration education.

Given the ubiquity of electronic health records (EHR), health administrators should be formally trained on the use and evaluation of EHR data for common operational tasks and managerial decision-making. A teaching electronic medical record (tEMR) is a fully operational electronic medical record that uses de-identified electronic patient data and provides a framework for students to familiarize themselves with the data, features, and functionality of an EHR. Although purported to be of value in health administration programs, specific benefits of using a tEMR in health administration education is unknown. We sought to examine Master of Health Administration (MHA) students' perceptions of the use, challenges, and benefits of a tEMR. We analyzed qualitative data collected from a focus group session with students who were exposed to the tEMR during a semester MHA course. We also administered pre- and post-survey questions on students' self-efficacy and perceptions of the ease of use, usefulness, and intention to use health care data analysis in their future jobs. We found several MHA students valued their exposure to the tEMR, as this provided them a realistic environment to explore de-identified patient data. Scores for students' perceived ease of using healthcare data analysis in their future job significantly increased following use of the tEMR (pre-test score M=3.31, SD=0.21; post-test score M=3.71, SD=0.18; p=0.01). Student exposure and use of a tEMR may positively affect perceptions of using EHR data for strategic and managerial tasks typical of health administrators.

An Electronic Tool to Support Patient-Centered Broad Consent: A Multi-Arm Randomized Clinical Trial in Family Medicine.

PURPOSE: Patients are frequently asked to share their personal health information. The objective of this study was to compare the effects on patient experiences of 3 electronic consent (e-consent) versions asking patients to share their health records for research. METHODS: A multi-arm randomized controlled trial was conducted from November 2017 through November 2018. Adult patients (n = 734) were recruited from 4 family medicine clinics in Florida. Using a tablet computer, participants were randomized to (1) a standard e-consent (standard), (2) an e-consent containing standard information plus hyperlinks to additional interactive details (interactive), or (3) an e-consent containing standard information, interactive hyperlinks, and factual messages about data protections and researcher training (trust-enhanced). Satisfaction (1 to 5), subjective understanding (0 to 100), and other outcomes were measured immediately, at 1 week, and at 6 months. RESULTS: A majority of participants (94%) consented to future uses of their health record information for research. No differences in study outcomes between versions were observed at immediate or 1-week follow-up. At 6-month follow-up, compared with the standard e-consent, participants who used the interactive e-consent reported greater satisfaction (B = 0.43; SE = 0.09; P <.001) and subjective understanding (B = 18.04; SE = 2.58; P <.001). At 6-month follow-up, compared with the interactive e-consent, participants who used the trust-enhanced e-consent reported greater satisfaction (B = 0.9; SE = 1.0; P <.001) and subjective understanding (B = 32.2; SE = 2.6, P <.001). CONCLUSIONS: Patients who used e-consents with interactive research details and trust-enhancing messages reported higher satisfaction and understanding at 6-month follow-up. Research institutions should consider developing and further validating e-consents that interactively deliver information beyond that required by federal regulations, including facts that may enhance patient trust in research.

Assessing Variation in State Opioid Tapering Laws: Comparing State Laws with the CDC Guideline.

OBJECTIVE: In 2016, the Center for Disease Control and Prevention released an opioid prescribing guideline for primary care in response to opioid overdose deaths. Despite efforts to encourage safer prescribing practices, experts and federal agencies suspect prescribing guidelines may be misapplied in clinical practice, resulting in abrupt tapering from opioid therapy. Although state laws likely influence prescriber behavior, little is known about state tapering laws. Thus, we examined the scope and variation of state tapering laws compared with federal opioid guidelines. METHODS: We conducted a comprehensive review of state laws through December 31, 2019, using keyword searches in LexisNexus. Identified laws were coded based on the inclusion of attributes derived from federal opioid guidelines and an expert consensus panel report. We examined whether law attributes were associated with state characteristics, including region, population, governor's political affiliation, opioid prescribing rates, and opioid overdose rates. RESULTS: We found 27 states and one federal district had law(s) mentioning tapering. Most laws were authored by medical boards or workers' compensation groups (65.6%) while some laws included a penalty (32.8%). Approximately half of guideline attributes (54.2%) were included in state laws; however, only two state's laws cautioned against abrupt tapering. States with higher overdose death rates were more likely to enact a tapering law (P < 0.001) and have a penalty (P = 0.007). CONCLUSIONS: State tapering laws incorporate some federal guideline attributes but most lack attributes deemed critical by experts. Without clear instruction, patients risk inappropriate tapering and discontinuation of opioid therapy. Given these findings, policymakers should consider addressing this gap.

Perceptions and Knowledge About the MenB Vaccine Among Parents of High School Students.

Serogroup B meningococcal disease (MenB) causes almost 60% of meningitis cases among adolescents and young adults. Yet, MenB vaccine coverage among adolescents remains below 10%. Since parents are the primary medical decision makers for adolescents, we examined MenB vaccination rates and parent attitudes about meningitis and the MenB vaccine. In 2018, in conjunction with a county-wide, school-based immunization campaign, we conducted a mixed methods study among parents of 16- to 17-year-olds. We facilitated focus groups asking parents about their knowledge of meningitis and reactions to educational materials and sent behavioral surveys based on Health Belief Model constructs to parents through the county high school system. Parents in three focus groups (n = 8; participation rate = 13%) expressed confusion about their child's need to receive the MenB vaccine in addition to the meningococcal conjugate vaccine (MenACWY), but conveyed strong trust in their physicians' recommendation. Among survey participants (n = 170), 70 (41%) had heard of the MenB vaccine. Among those 70 parents, the most common barriers to vaccination were concerns about side effects (55%) and uncertainty of susceptibility due to receipt of the MenACWY vaccine (30%). The percentage of teens that received at least one dose of the MenB vaccine was 50% (n = 35) by parent report and 23% (n = 16) by state vaccination records. Parents demonstrated uncertainty and confusion about the MenB vaccine particularly due to the existence of another meningitis vaccine and limited health care provider recommendations. Confirmatory studies of parent confusion about the MenB vaccine are needed to develop interventions.

Consumer Perspectives on Maternal and Infant Health Apps: Qualitative Content Analysis.

BACKGROUND: Despite the popularity of maternal and infant health mobile apps, ongoing consumer engagement and sustained app use remain barriers. Few studies have examined user experiences or perceived benefits of maternal and infant health app use from consumer perspectives. OBJECTIVE: This study aims to assess users' self-reported experiences with maternal and infant health apps, perceived benefits, and general feedback by analyzing publicly available user reviews on two popular app stores-Apple App Store and Google Play Store. METHODS: We conducted a qualitative assessment of publicly available user reviews (N=2422) sampled from 75 maternal and infant health apps designed to provide health education or decision-making support to pregnant women or parents and caregivers of infants. The reviews were coded and analyzed using a general inductive qualitative content analysis approach. RESULTS: The three major themes included the following: app functionality, where users discussed app features and functions; technical aspects, where users talked about technology-based aspects of an app; and app content, where users specifically focused on the app content and the information it provides. The six minor themes included the following: patterns of use, where users highlighted the frequency and type of use; social support, where users talked about receiving social support from friends, family and community of other users; app cost, where users talked about the cost of an app within the context of being cost-effective or a potential waste of money; app comparisons, where users compared one app with others available in app stores; assistance in health care, where users specifically highlighted the role of an app in offering clinical assistance; and customer care support, where users specifically talked about their interaction with the app customer care support team. CONCLUSIONS: Users generally tend to value apps that are of low cost and preferably free, with high-quality content, superior features, enhanced technical aspects, and user-friendly interfaces. Users also find app developer responsiveness to be integral, as it offers them an opportunity to engage in the app development and delivery process. These findings may be beneficial for app developers in designing better apps, as no best practice guidelines currently exist for the app environment.

Primary Care Clinicians' Beliefs and Strategies for Managing Chronic Pain in an Era of a National Opioid Epidemic.

BACKGROUND: Little is known about how primary care clinicians (PCCs) approach chronic pain management in the current climate of rapidly changing guidelines and the growing body of research about risks and benefits of opioid therapy. OBJECTIVE: To better understand PCCs' approaches to managing patients with chronic pain and explore implications for technological and administrative interventions. DESIGN: We conducted adapted critical decision method interviews with 20 PCCs. Each PCC participated in 1-5 interviews. PARTICIPANTS: PCCs interviewed had a mean of 14 years of experience. They were sampled from 13 different clinics in rural, suburban, and urban health settings across the state of Indiana. APPROACH: Interviews included discussion of participants' general approach to managing chronic pain, as well as in-depth discussion of specific patients with chronic pain. Interviews were audio recorded. Transcripts were analyzed thematically. KEY RESULTS: PCCs reflected on strategies they use to encourage and motivate patients. We identified four associated strategic themes: (1) developing trust, (2) eliciting information from the patient, (3) diverting attention from pain to function, and (4) articulating realistic goals for the patient. In discussion of chronic pain management, PCCs often explained their beliefs about opioid therapy. Three themes emerged: (1) Opioid use tends to reduce function, (2) Opioids are often not effective for long-term pain treatment, and (3) Response to pain and opioids is highly variable. CONCLUSIONS: PCC beliefs about opioid therapy generally align with the clinical evidence, but may have some important gaps. These findings suggest the potential value of interventions that include improved access to research findings; organizational changes to support PCCs in spending time with patients to develop rapport and trust, elicit information about pain, and manage patient expectations; and the need for innovative clinical cognitive support.

Clinical perspectives on hospitals' role in the opioid epidemic.

BACKGROUND: Policymakers, legislators, and clinicians have raised concerns that hospital-based clinicians may be incentivized to inappropriately prescribe and administer opioids when addressing pain care needs of their patients, thus potentially contributing to the ongoing opioid epidemic in the United States. Given the need to involve all healthcare settings, including hospitals, in joint efforts to curb the opioid epidemic, it is essential to understand if clinicians perceive hospitals as contributors to the problem. Therefore, we examined clinical perspectives on the role of hospitals in the opioid epidemic. METHODS: We conducted individual semi-structured interviews with 23 clinicians from 6 different acute care hospitals that are part of a single healthcare system in the Midwestern United States. Our participants were hospitalists (N = 12), inpatient registered nurses (N = 9), and inpatient adult nurse practitioners (N = 2). In the interviews, we asked clinicians whether hospitals play a role in the opioid epidemic, and if so, how hospitals may contribute to the epidemic. We used a qualitative thematic analysis approach to analyze coded text for patterns and themes and examined potential differences in themes by respondent type using Dedoose software. RESULTS: The majority of clinicians believed hospitals contribute to the opioid epidemic. Multiple clinicians cited Center for Medicare and Medicaid Services' (CMS) reimbursement policy and the Joint Commission's report as drivers of inappropriate opioid prescribing in hospitals. Furthermore, numerous clinicians stated that opioids are inappropriately administered in the emergency department (ED), potentially as a mechanism to facilitate discharge and prevent re-admission. Many clinicians also described how overreliance on pre-populated pain care orders for surgical (orthopedic) patients, may be contributing to inappropriate opioid use in the hospital. Finally, clinicians suggested the following initiatives for hospitals to help address the crisis: 1) educating patients about negative consequences of using opioids long-term and setting realistic pain expectations; 2) educating medical staff about appropriate opioid prescribing practices, particularly for patients with complex chronic conditions (chronic pain; opioid use disorder (OUD)); and 3) strengthening the hospital leadership efforts to decrease inappropriate opioid use. CONCLUSIONS: Our findings can inform efforts at decreasing inappropriate opioid use in hospitals.

CYP2D6-guided opioid therapy improves pain control in CYP2D6 intermediate and poor metabolizers: a pragmatic clinical trial.

PURPOSE: CYP2D6 bioactivates codeine and tramadol, with intermediate and poor metabolizers (IMs and PMs) expected to have impaired analgesia. This pragmatic proof-of-concept trial tested the effects of CYP2D6-guided opioid prescribing on pain control. METHODS: Participants with chronic pain (94% on an opioid) from seven clinics were enrolled into CYP2D6-guided (n = 235) or usual care (n = 135) arms using a cluster design. CYP2D6 phenotypes were assigned based on genotype and CYP2D6 inhibitor use, with recommendations for opioid prescribing made in the CYP2D6-guided arm. Pain was assessed at baseline and 3 months using PROMIS® measures. RESULTS: On stepwise multiple linear regression, the primary outcome of composite pain intensity (composite of current pain and worst and average pain in the past week) among IM/PMs initially prescribed tramadol/codeine (n = 45) had greater improvement in the CYP2D6-guided versus usual care arm (-1.01 ± 1.59 vs. -0.40 ± 1.20; adj P = 0.016); 24% of CYP2D6-guided versus 0% of usual care participants reported ≥30% (clinically meaningful) reduction in the composite outcome. In contrast, among normal metabolizers prescribed tramadol or codeine at baseline, there was no difference in the change in composite pain intensity at 3 months between CYP2D6-guided (-0.61 ± 1.39) and usual care (-0.54 ± 1.69) groups (adj P = 0.540). CONCLUSION: These data support the potential benefits of CYP2D6-guided pain management.

WORKPLACE INCIVILITY EXPERIENCED BY HEALTH ADMINISTRATION FACULTY.

Workplace incivility is low-intensity, nonspecific, discourteous behavior towards others and may negatively affect employee and organizational outcomes. This exploratory study sought to examine the prevalence of and factors related to experiencing several different types of workplace incivility using a national sample of Health Administration full-time faculty members in the United States. We found that 27-36% of respondents have experienced at least one type of uncivil behavior from students, coworkers, or supervisors. Further, 4-9% of faculty respondents experience such incidents frequently. Faculty respondents who experienced workplace incivility were significantly more likely to report lower job satisfaction and indicated an intention to leave their position within the next three years. Academic leaders should work to foster an environment where incivility towards others is actively discouraged, as it may contribute to dissatisfaction and turnover.

Analgesic Management of Pain in Elite Athletes: A Systematic Review.

OBJECTIVE: To identify the prevalence, frequency of use, and effects of analgesic pain management strategies used in elite athletes. DESIGN: Systematic literature review. DATA SOURCES: Six databases: Ovid/Medline, SPORTDiscus, CINAHL, Embase, Cochrane Library, and Scopus. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Empirical studies involving elite athletes and focused on the use or effects of medications used for pain or painful injury. Studies involving recreational sportspeople or those that undertake general exercise were excluded. MAIN RESULTS: Of 70 articles found, the majority examined the frequency with which elite athletes use pain medications, including nonsteroidal anti-inflammatory drugs (NSAIDs), corticosteroids, anesthetics, and opioids. A smaller set of studies assessed the effect of medications on outcomes such as pain, function, and adverse effects. Oral NSAIDs are reported to be the most common medication, being used in some international sporting events by over 50% of athletes. Studies examining the effects of pain medications on elite athletes typically involved small samples and lacked control groups against which treated athletes were compared. CONCLUSIONS: Existing empirical research does not provide a sufficient body of evidence to guide athletes and healthcare professionals in making analgesic medication treatment decisions. Based on the relatively robust evidence regarding the widespread use of NSAIDs, clinicians and policymakers should carefully assess their current recommendations for NSAID use and adhere to a more unified consensus-based strategy for multidisciplinary pain management in elite athletes. In the future, we hope to see more rigorous, prospective studies of various pain management strategies in elite athletes, thus enabling a shift from consensus-based recommendations to evidence-based recommendations.

Accuracy of Electronic Health Record Food Insecurity, Housing Instability, and Financial Strain Screening in Adult Primary Care.

This study assesses the accuracy of electronic health record­based screening questionnaires about social risk factors using external single-domain questionnaires as a comparator.

Measuring Patient Satisfaction's Relationship to Hospital Cost Efficiency: Can Administrators Make a Difference?

OBJECTIVE: The aim of this study was to assess the ability and means by which hospital administrators can influence patient satisfaction and its impact on costs. DATA SOURCES: Data are drawn from the American Hospital Association's Annual Survey of Hospitals, federally collected Hospital Cost Reports, and Medicare's Hospital Compare. STUDY DESIGN: Stochastic frontier analyses (SFA) are used to test the hypothesis that the patient satisfaction-hospital cost relationship is primarily a latent "management effect." The null hypothesis is that patient satisfaction measures are main effects under the control of care providers rather than administrators. PRINCIPLE FINDINGS: Both SFA models were superior to the standard regression analysis when measuring patient satisfaction's relationship to hospitals' cost efficiency. The SFA model with patient satisfaction measures treated as main effects, rather than "latent, management effects," was significantly better comparing the log-likelihood statistics. Higher patient satisfaction scores on the environmental quality and provider communication dimensions were related to lower facility costs. Higher facility costs were positively associated with patients' overall impressions (willingness to recommend and overall satisfaction), assessments of medication and discharge instructions, and ratings of caregiver responsiveness (pain control and help when called). CONCLUSIONS: In the short term, managers have a limited ability to influence patient satisfaction scores, and it appears that working through frontline providers (doctors and nurses) is critical to success. In addition, results indicate that not all patient satisfaction gains are cost neutral and there may be added costs to some forms of quality. Therefore, quality is not costless as is often argued.

Teaching a Machine to Feel Postoperative Pain: Combining High-Dimensional Clinical Data with Machine Learning Algorithms to Forecast Acute Postoperative Pain.

BACKGROUND: Given their ability to process highly dimensional datasets with hundreds of variables, machine learning algorithms may offer one solution to the vexing challenge of predicting postoperative pain. METHODS: Here, we report on the application of machine learning algorithms to predict postoperative pain outcomes in a retrospective cohort of 8,071 surgical patients using 796 clinical variables. Five algorithms were compared in terms of their ability to forecast moderate to severe postoperative pain: Least Absolute Shrinkage and Selection Operator (LASSO), gradient-boosted decision tree, support vector machine, neural network, and k-nearest neighbor (k-NN), with logistic regression included for baseline comparison. RESULTS: In forecasting moderate to severe postoperative pain for postoperative day (POD) 1, the LASSO algorithm, using all 796 variables, had the highest accuracy with an area under the receiver-operating curve (ROC) of 0.704. Next, the gradient-boosted decision tree had an ROC of 0.665 and the k-NN algorithm had an ROC of 0.643. For POD 3, the LASSO algorithm, using all variables, again had the highest accuracy, with an ROC of 0.727. Logistic regression had a lower ROC of 0.5 for predicting pain outcomes on POD 1 and 3. CONCLUSIONS: Machine learning algorithms, when combined with complex and heterogeneous data from electronic medical record systems, can forecast acute postoperative pain outcomes with accuracies similar to methods that rely only on variables specifically collected for pain outcome prediction.

Decision support for chronic pain care: how do primary care physicians decide when to prescribe opioids? a qualitative study.

BACKGROUND: Primary care physicians struggle to treat chronic noncancer pain while limiting opioid misuse, abuse, and diversion. The objective of this study was to understand how primary care physicians perceive their decisions to prescribe opioids in the context of chronic noncancer pain management. This question is important because interventions, such as decision support tools, must be designed based on a detailed understanding of how clinicians use information to make care decisions. METHODS: We conducted in-depth qualitative interviews with family medicine and general internal medicine physicians until reaching saturation in emergent themes. We used a funneling approach to ask a series of questions about physicians' general decision making challenges and use of information when considering chronic opioids. We then used an iterative, open-coding approach to identify and characterize themes in the data. RESULTS: We interviewed fifteen physicians with diverse clinical experiences, demographics, and practice affiliations. Physicians said that general decision making challenges in providing pain management included weighing risks and benefits of opioid therapies and time and resource constraints. Also, some physicians described their active avoidance of chronic pain treatment due to concerns about opioid risks. In their decision making, physicians described the importance of objective and consistent information, the importance of identifying "red flags" related to risks of opioids, the importance of information about physical function as an outcome, and the importance of information that engenders trust in patients. CONCLUSIONS: This study identified and described primary care physicians' struggles to deliver high quality care as they seek and make decisions based on an array of incomplete, conflicting, and often untrusted patient information. Decision support systems, education, and other interventions that address these challenges may alleviate primary care physicians' struggles and improve outcomes for patients with chronic pain and other challenging conditions.