Outcomes Measurement Information System Global-10 Research Articles

Patterns of Social Needs Predict Quality-of-Life and Healthcare Utilization Outcomes in Patients from a Large Hospital System.

Unmet social needs (SNs) often coexist in distinct patterns within specific population subgroups, yet these patterns are understudied. To identify patterns of social needs (PSNs) and characterize their associations with health-related quality-of-life (HRQoL) and healthcare utilization (HCU). Observational study using data on SNs screening, HRQoL (i.e., low mental and physical health), and 90-day HCU (i.e., emergency visits and hospital admission). Among patients with any SNs, latent class analysis was conducted to identify unique PSNs. For all patients and by race and age subgroups, compared with no SNs, we calculated the risks of poor HRQoL and time to first HCU following SNs screening for each PSN. Adult patients undergoing SNs screening at the Mass General Brigham healthcare system in Massachusetts, United States, between March 2018 and January 2023. SNs included: education, employment, family care, food, housing, medication, transportation, and ability to pay for household utilities. HRQoL was assessed using the Patient-Reported Outcomes Measurement Information System Global-10. Six unique PSNs were identified: "high number of social needs," "food and utility access," "employment needs," "interested in education," "housing instability," and "transportation barriers." In 14,230 patients with HRQoL data, PSNs increased the risks of poor mental health, with risk ratios ranging from 1.07(95%CI:1.01-1.13) to 1.80(95%CI:1.74-1.86). Analysis of poor physical health yielded similar findings, except that the "interested in education" showed a mild protective effect (0.97[95%CI:0.94-1.00]). In 105,110 patients, PSNs increased the risk of 90-day HCU, with hazard ratios ranging from 1.09(95%CI:0.99-1.21) to 1.70(95%CI:1.52-1.90). Findings were generally consistent in subgroup analyses by race and age. Certain SNs coexist in distinct patterns and result in poorer HRQoL and more HCU. Understanding PSNs allows policymakers, public health practitioners, and social workers to identify at-risk patients and implement integrated, system-wide, and community-based interventions.

Establishing the Minimally Important Difference for the KOOS-Joint Replacement and PROMIS Global-10 in Patients After Total Knee Arthroplasty.

Despite the overall prevalence and success of total knee arthroplasty (TKA), a significant portion of patients are dissatisfied with their outcomes. To assess the responsiveness and determine the minimally important difference (MID) of 2 patient-reported outcome measures (PROMs)-the Knee injury and Osteoarthritis Outcome Score-Joint Replacement (KOOS-JR) and the Patient-Reported Outcomes Measurement Information System Global-10 (PROMIS 10)-in patients after TKA. Cohort study (diagnosis); Level of evidence, 3. Included were patients who underwent TKA from August 2015 through August 2019 and completed baseline and postoperative KOOS-JR and PROMIS 10 surveys. The PROMIS 10 consists of 2 domains: physical health and mental health. Estimates for the reliable change index (RCI) and MID, using anchor-based and distribution-based methods, were calculated for each PROM. Regression modeling was used to determine whether patient and clinical factors predicted MID thresholds or MID achievement. A total of 1315 patients were included. Distribution-based MIDs, calculated using various methods from baseline scores, ranged from 19.3 to 31 for the KOOS-JR, and the RCI was 4.38. Of these patients, 293 (22.3%) demonstrated small or moderate improvement, and this cohort was included in the calculation of anchor-based MIDs. The anchor-based MIDs were 16.9 and 24.3 at 3-month and 1-year follow-up, respectively, and 66% of patients achieved the MID at 12 months. Higher preoperative PROM score, male sex, non-White race, and current smoker status were predictive of failing to achieve the anchor-based MID for KOOS-JR at 1 year postoperatively (P < .05). Higher preoperative PROM score and any 90-day adverse event predicted lower thresholds of important change in anchor-based MIDs. Higher baseline PROM scores, younger age, male sex, non-White ethnicity, higher American Society of Anesthesiologists classification, preoperative narcotics use, not smoking, and longer hospital stay were all associated with lower odds of achieving the MID on the KOOS-JR or either of the PROMIS 10 subscales. The study results demonstrated relevant values for interpretation of the KOOS-JR and PROMIS 10. While patient demographics did not accurately predict which patients would achieve the MID, some potential factors predicting successful patient-reported outcomes after TKA were identified.

Patient factors related to patient engagement technology (PET) usage in thoracic surgery

BackgroundWe evaluated using Patient Engagement Technology (PET) to capture Patient Reported Outcomes (PROs) in thoracic surgery patients. Methodsyatients using a PET received surveys including the Patient-Reported Outcomes Measurement Information System Global-10 (PROMIS-10) and a health literacy (HL) screen. The relationship of patient-level factors with survey completion was assessed through univariate and logistic regression analyses. Results703 patients enrolled in a PET. 52 ​% were female and 83 ​% were white with a median age of 63.72 ​% had adequate HL. 81 ​% completed the PROMIS-10 survey. Univariate analysis found lower rates of PROMIS-10 completion in male patients and those with inadequate HL. Logistic regression analysis showed adequate HL (OR 1.76) and white race (OR 1.72) were associated with PROMIS-10 survey completion, while male gender (OR 0.65) had the opposite effect. ConclusionsPETs are an effective means of collecting PROs, but use is affected by gender, race, and health literacy.

Robotic-Assisted Total Knee Arthroplasty Can Increase Frequency of Achieving Target Limb Alignment in Primary Total Knee Arthroplasty for Preoperative Valgus Deformity.

Robotic-assisted total knee arthroplasty (rTKA) has been shown to reduce the number of alignment outliers and to improve component positioning compared to manual TKA (mTKA). The primary purpose of this investigation was to compare the frequency of achieving target postoperative limb alignment and component positioning for rTKA vs mTKA. A retrospective comparative study was performed on 250 patients undergoing primary TKA by 2 fellowship-trained arthroplasty surgeons. Surgeon A performed predominantly rTKA (103 cases) with the ROSA system (Zimmer Biomet, Warsaw, IN) and less frequently mTKA (44 cases) with conventional instrumentation. Surgeon B performed only mTKA (103 cases). Target limb alignment for surgeon A was 0° for all cases and for surgeon B was 2° varus for varus knees and 0° for valgus knees. Radiographic measurements were determined by 2 reviewers. Target zone was set at ± 2 degrees from the predefined target. When comparing rTKA to mTKA performed by different surgeons, there were no differences in the percentage within the target zone (57.28% vs 53.40%, P= .575), but rTKA did result in a greater percentage for cases with preoperative valgus (71.42% vs 44.12%, P= .031). Patient-reported Outcomes Measurement Information System Global-10 physical scores were statistically higher at both 3 (P= .016) and 6 months (P= .001) postoperatively for rTKA compared to mTKA performed by different surgeons. Although experienced surgeons can achieve target limb alignment correction with similar frequency when comparing rTKA to mTKA for all cases, rTKA may achieve target limb alignment with more accuracy for preoperative valgus deformity. Retrospective Cohort Study, Level III.

Total hip and knee arthroplasty after lower extremity amputation in a military population

IntroductionThe military includes lower extremity amputees requiring arthroplasty; however, there is little literature on this population. The primary aim of this study was to report demographics and clinical factors in...

Factors Associated With Health-Related Quality of Life Among Cancer Survivors in the United States.

With increasing prevalence of cancer survivors in the United States, health-related quality of life (HRQOL) has become a major priority. We describe HRQOL in a nationally representative sample of cancer survivors and examine associations with key sociodemographic, clinical, and lifestyle characteristics. Cancer survivors, defined as individuals ever diagnosed with cancer (N = 877), were identified from the 2016 Medical Expenditure Panel Survey-Experiences with Cancer Survivorship Supplement, a nationally representative survey. Physical and mental health domains of HRQOL were measured by the Global Physical Health (GPH) and Global Mental Health (GMH) subscales of the Patient-Reported Outcomes Measurement Information System Global-10. Multivariable linear regression was used to examine associations of sociodemographic, clinical, and lifestyle factors with GPH and GMH scores. All statistical tests were 2-sided. Cancer survivors' mean GPH (49.28, SD = 8.79) and mean GMH (51.67, SD = 8.38) were similar to general population means (50, SD = 10). Higher family income was associated with better GPH and GMH scores, whereas a greater number of comorbidities and lower physical activity were statistically significantly associated with worse GPH and GMH. Survivors last treated 5 years ago and longer had better GPH than those treated during the past year, and current smokers had worse GMH than nonsmokers (all β > 3 and all P < .001). Cancer survivors in the United States have generally good HRQOL, with similar physical and mental health scores to the general US population. However, comorbidities, poor health behaviors, and recent treatment may be risk factors for worse HRQOL. Multimorbidity management and healthy behavior promotion may play a key role in maximizing HRQOL for cancer survivors.

Creating a Value Dashboard for Orthopaedic Surgical Procedures.

Value-based health-care delivery is a framework for restructuring our health-care systems with the goal of providing better outcomes for patients at lower cost. Value is determined by patient health outcomes per dollar spent on health services. We sought to develop a value dashboard that could be used to easily track and improve the value of total hip and knee arthroplasty (THA and TKA). We created a value dashboard for TKAs and THAs at our institution. Value was defined as quality of outcomes per dollar spent. The dashboard for each procedure displayed the average value by surgeon, compared with institutional averages for physical function scores and cost. Quality metrics were determined by weighted surgeon ranking using a modified Delphi process and included both clinical and patient-reported outcomes, as measured by the mean change in the Patient-Reported Outcomes Measurement Information System Global-10 (PROMIS-10) physical function score, mean change in the Hip disability and Osteoarthritis Outcome Score-Joint Replacement (HOOS-JR) or the Knee injury and Osteoarthritis Outcome Score-Joint Replacement (KOOS-JR), mean change in the modified Single Assessment Numeric Evaluation (SANE) score, complication rate, periprosthetic joint infection (PJI) rate, and 30-day readmission rate. Average direct costs per surgeon were used. Data from January 2017 through April 2018 were included to ensure 1-year follow-up. Six surgeons were included in the value dashboard for TKA, and 5 were included in the THA dashboard. The value for TKA by surgeon ranged from 7% below to 12% above the institutional benchmark. The value for THA by surgeon ranged from 12% below to 7% above the institutional benchmark. The proposed dashboard utilizes value in a health-care framework and could be used for comparing and improving value for THA and TKA. This dashboard successfully combined patient outcome metrics and direct costs of surgical procedures. Future studies should focus on involving patients in this process and using national data to create benchmarks, which could provide a more accurate representation of value than using institutional averages.

Using Electronic Data Collection Platforms to Assess Complementary and Integrative Health Patient-Reported Outcomes: Feasibility Project.

BackgroundThe Veteran Administration (VA) Office of Patient-Centered Care and Cultural Transformation is invested in improving veteran health through a whole-person approach while taking advantage of the electronic resources suite available through the VA. Currently, there is no standardized process to collect and integrate electronic patient-reported outcomes (ePROs) of complementary and integrative health (CIH) into clinical care using a web-based survey platform. This quality improvement project enrolled veterans attending CIH appointments within a VA facility and used web-based technologies to collect ePROs.ObjectiveThis study aimed to (1) determine a practical process for collecting ePROs using patient email services and a web-based survey platform and (2) conduct analyses of survey data using repeated measures to estimate the effects of CIH on patient outcomes.MethodsIn total, 100 veterans from one VA facility, comprising 11 cohorts, agreed to participate. The VA patient email services (Secure Messaging) were used to manually send links to a 16-item web-based survey stored on a secure web-based survey storage platform (Qualtrics). Each survey included questions about patient outcomes from CIH programs. Each cohort was sent survey links via Secure Messaging (SM) at 6 time points: weeks 1 through 4, week 8, and week 12. Process evaluation interviews were conducted with five primary care providers to assess barriers and facilitators to using the patient-reported outcome survey in usual care.ResultsThis quality improvement project demonstrated the usability of SM and Qualtrics for ePRO collection. However, SM for ePROs was labor intensive for providers. Descriptive statistics on health competence (2-item Perceived Health Competence Scale), physical and mental health (Patient-Reported Outcomes Measurement Information System Global-10), and stress (4-item Perceived Stress Scale) indicated that scores did not significantly change over time. Survey response rates varied (18/100, 18.0%-42/100, 42.0%) across each of the 12 weekly survey periods. In total, 74 of 100 participants provided ≥1 survey, and 90% (66/74) were female. The majority, 62% (33/53) of participants, who reported the use of any CIH modality, reported the use of two or more unique modalities. Primary care providers highlighted specific challenges with SM and offered solutions regarding staff involvement in survey implementation.ConclusionsThis quality improvement project informs our understanding of the processes currently available for using SM and web-based data platforms to collect ePROs. The study results indicate that although it is possible to use SM and web-based survey platforms for ePROs, automating scheduled administration will be necessary to reduce provider burden. The lack of significant change in ePROs may be due to standard measures taking a biomedical approach to wellness. Future work should focus on identifying ideal ePRO processes that would include standardized, whole-person measures of wellness.

Preoperative Opioid Use Negatively Affects Patient-reported Outcomes After Primary Total Hip Arthroplasty.

Opioid use is a public health crisis in the United States and an area of increased focus in orthopaedic surgery. The aim of this study is to investigate whether preoperative opioid use had any effect on patient-reported outcome measures (PROMs) before and after total hip arthroplasty (THA). A total of 389 patients with THA with both preoperative and postoperative PROMs were reviewed: (1) 76 patients with preoperative opioid use (24%) and (2) 237 patients without preoperative opioid use (76%). Patient demographics and clinical information including opioid use, length of stay, and implant information. Preoperative opioid users were more likely to stay in the hospital longer (P = 0.004) and be discharged to a rehabilitation facility (P = 0.038). Postoperatively, the Physical Function Short Form 10a (P = 0.021) and Patient-Reported Outcomes Measurement Information System Global-10 (P < 0.001 physical, P = 0.001, mental) were significantly lower in the preoperative opioid users. Within groups, both nonusers and preoperative opioid users saw improvements after THA in Hip Disability and Osteoarthritis Outcome Score-Physical Function Short Form (P < 0.001), Short Form 10a (P < 0.001), and Patient-Reported Outcomes Measurement Information System Global-10 (P < 0.001, physical and P = 0.008, mental). Although all patients reported improvements after THA regardless of preoperative opioid use, preoperative opioid users undergoing THA had significantly lower patient-reported outcome scores, longer hospital stays, and a more likely discharge to rehabilitation.

Technology-enabled comprehensive characterization of multiple sclerosis in clinical practice

BackgroundObjective and longitudinal measurements of disability in patients with multiple sclerosis (MS) are desired in order to monitor disease status and response to disease-modifying and symptomatic therapies. Technology-enabled comprehensive assessment of MS patients, including neuroperformance tests (NPTs), patient-reported outcome measures (PROMs), and MRI, is incorporated into clinical care at our center. The relationships of each NPT with PROMs and MRI measures in a real-world setting are incompletely studied, particularly in larger datasets. ObjectivesTo demonstrate the utility of comprehensive neurological assessment and determine the association between NPTs, PROMs, and quantitative MRI measures in a large MS clinical cohort. MethodsNPTs (processing speed [PST], contrast sensitivity [CST], manual dexterity [MDT], and walking speed [WST]) and physical disability-related PROMs (Quality of Life in Neurological Disorders [Neuro-QoL], Patient Determined Disease Steps [PDDS], and Patient-Reported Outcomes Measurement Information System Global-10 [PROMIS-10] physical) were collected as part of routine clinical care. Fully-automated MRI analysis calculated T2-lesion volume (T2LV), whole brain fraction (WBF), thalamic volume (TV), and cervical spinal cord cross-sectional area (CA) for brain MRIs completed within 3 months of a clinic visit during which NPTs and PROMs were assessed. Spearman's rank correlation coefficients evaluated the cross-sectional associations of NPTs with PROMs and MRI measures. Linear regression was utilized to determine which combination of clinical characteristics, patient demographics, MRI measures, and PROMs best cross-sectionally explained each NPT result. Results997 unique patients (age 47.7 ± 11.4 years, 71.8% female) who underwent assessments over a 2-year period were included. Correlations among NPTs and PROMs were moderate. PST correlations were strongest for Neuro-QoL upper extremity (NQ-UE) (Spearman's rho = 0.43) and lower extremity (NQ-LE) (0.47). CST correlations were strongest for NQ-UE (0.33), NQ-LE (0.36), and PDDS (-0.31). MDT correlations were strongest for NQ-UE (-0.53), NQ-LE (-0.54), and PDDS (0.53). WST correlations were strongest for PDDS (0.64) and NQ-LE (-0.65). NPTs also had moderate correlations with MRI metrics, the strongest of which were observed with PST (with T2LV (-0.44) and WBF (0.49)). Spearman's rho for other NPT-MRI correlations ranged from 0.23 to 0.36. Linear regression identified age, disease duration, PROMIS-10 physical, NQ-UE, NQ-LE, T2LV and WBF as significant cross-sectional explanatory variables for PST (adjusted R2=0.46). For CST, significant variables included age and NQ-LE (adjusted R2 = 0.30). For MDT, significant variables included PDDS, PROMIS-10 physical, NQ-UE, NQ-LE, T2LV, and WBF (adjusted R2=0.37). For WST, significant variables included sex, PDDS, NQ-LE, T2LV, and CA (adjusted R2=0.39). ConclusionsImpaired performance on NPTs correlated with worse physical disability-related PROMs and MRI disease severity, but the strongest cross-sectional explanatory variables for each NPT component varied. This study supports the use of comprehensive, objective quantification of MS status in clinical and research settings. Future longitudinal analyses can determine predictors of treatment response and disability worsening.