Effect of junctional reflux on the venous clinical severity score in patients with insufficiency of the great saphenous vein (JURY study).

OBJECTIVE: Effective treatment options are available for chronic venous insufficiency associated with superficial venous reflux. Although many patients with C2 and C3 disease based on the CEAP (Clinical-Etiological-Anatomical-Pathophysiological) classification have combined great saphenous vein (GSV) and saphenofemoral junction (SFJ) reflux, some may not have concomitant SFJ reflux. Several payors have determined that symptom severity in patients without SFJ reflux does not warrant treatment. In patients planned for venous ablation, we tested whether Venous Clinical Severity Scores (VCSS) are equivalent in those with GSV reflux alone compared with those with both GSV and SFJ reflux. METHODS: This cross-sectional study was conducted at 10 centers. Inclusion criteria were: candidate for endovenous ablation as determined by treating physician; 18 to 80 years of age; GSV reflux with or without SFJ reflux on ultrasound; and C2 or C3 disease. Exclusion criteria were prior deep vein thrombosis; prior vein ablation on the index limb; ilio-caval obstruction; and renal, hepatic, or heart failure requiring prior hospitalization. An a priori sample size was calculated. We used multiple linear regression (adjusted for patient characteristics) to compare differences in VCSS scores of the two groups at baseline, and to test whether scores were equivalent using a priori equivalence boundaries of +1 and -1. In secondary analyses, we tested differences in VCSS scores in patients with C2 and C3 disease separately. RESULTS: A total of 352 patients were enrolled; 64.2% (n = 226) had SFJ reflux, and 35.8% (n = 126) did not. The two groups did not differ by major clinical characteristics. The mean age of the cohort was 53.9 ± 14.3 years; women comprised 74.2%; White patients 85.8%; and body mass index was 27.8 ± 6.1 kg/m2. The VCSS scores in patients with and without SFJ reflux were found to be equivalent; SFJ reflux was not a significant predictor of VCSS score; and mean VCSS scores did not differ significantly (6.4 vs 6.6, respectively, P = .40). In secondary subset analyses, VCSS scores were equivalent between C2 patients with and without SFJ reflux, and VCSS scores of C3 patients with SFJ reflux were lower than those without SFJ reflux. CONCLUSIONS: Symptom severity is equivalent in patients with GSV reflux with or without SFJ reflux. The absence of SFJ reflux alone should not determine the treatment paradigm in patients with symptomatic chronic venous insufficiency. Patients with GSV reflux who meet clinical criteria for treatment should have equivalent treatment regardless of whether or not they have SFJ reflux.

Ability of Caprini and Padua risk-assessment models to predict venous thromboembolism in a nationwide Veterans Affairs study.

OBJECTIVE: Venous thromboembolism (VTE) is a preventable complication of hospitalization. Risk-stratification is the cornerstone of prevention. The Caprini and Padua are two of the most commonly used risk-assessment models (RAMs) to quantify VTE risk. Both models perform well in select, high-risk cohorts. Although VTE RAMs were designed for use in all hospital admissions, they are mostly tested in select, high-risk cohorts. We aim to evaluate the two RAMs in a large, unselected cohort of patients. METHODS: We analyzed consecutive first hospital admissions of 1,252,460 unique surgical and non-surgical patients to 1298 Veterans Affairs facilities nationwide between January 2016 and December 2021. Caprini and Padua scores were generated using the Veterans Affairs' national data repository. We determined the ability of the two RAMs to predict VTE within 90 days of admission. In secondary analyses, we evaluated prediction at 30 and 60 days, in surgical vs non-surgical patients, after excluding patients with upper extremity deep vein thrombosis, in patients hospitalized ≥72 hours, after including all-cause mortality in a composite outcome, and after accounting for prophylaxis in the predictive model. We used area under the receiver operating characteristic curves (AUCs) as the metric of prediction. RESULTS: A total of 330,388 (26.4%) surgical and 922,072 (73.6%) non-surgical consecutively hospitalized patients (total N = 1,252,460) were analyzed. Caprini scores ranged from 0 to 28 (median, 4; interquartile range [IQR], 3-6); Padua scores ranged from 0-13 (median, 1; IQR, 1-3). The RAMs showed good calibration and higher scores were associated with higher VTE rates. VTE developed in 35,557 patients (2.8%) within 90 days of admission. The ability of both models to predict 90-day VTE was low (AUCs: Caprini, 0.56; 95% confidence interval [CI], 0.56-0.56; Padua, 0.59; 95% CI, 0.58-0.59). Prediction remained low for surgical (Caprini, 0.54; 95% CI, 0.53-0.54; Padua, 0.56; 95% CI, 0.56-0.57) and non-surgical patients (Caprini, 0.59; 95% CI, 0.58-0.59; Padua, 0.59; 95% CI, 0.59-0.60). There was no clinically meaningful change in predictive performance in any of the sensitivity analyses. CONCLUSIONS: Caprini and Padua RAM scores have low ability to predict VTE events in a cohort of unselected consecutive hospitalizations. Improved VTE RAMs must be developed before they can be applied to a general hospital population.

Growing Deficit in New Cancer Diagnoses 2 Years Into the COVID-19 Pandemic: A National Multicenter Study.

BACKGROUND: Large decreases in cancer diagnoses were seen early in the COVID-19 pandemic. However, the evolution of these deficits since the end of 2020 and the advent of widespread vaccination is unknown. METHODS: This study examined data from the Veterans Health Administration (VA) from 1 January 2018 through 28 February 2022 and identified patients with screening or diagnostic procedures or new cancer diagnoses for the four most common cancers in the VA health system: prostate, lung, colorectal, and bladder cancers. Monthly procedures and new diagnoses were calculated, and the pre-COVID era (January 2018 to February 2020) was compared with the COVID era (March 2020 to February 2022). RESULTS: The study identified 2.5 million patients who underwent a diagnostic or screening procedure related to the four cancers. A new cancer was diagnosed for 317,833 patients. During the first 2 years of the pandemic, VA medical centers performed 13,022 fewer prostate biopsies, 32,348 fewer cystoscopies, and 200,710 fewer colonoscopies than in 2018-2019. These persistent deficits added a cumulative deficit of nearly 19,000 undiagnosed prostate cancers and 3300 to 3700 undiagnosed cancers each for lung, colon, and bladder. Decreased diagnostic and screening procedures correlated with decreased new diagnoses of cancer, particularly cancer of the prostate (R = 0.44) and bladder (R = 0.27). CONCLUSION: Disruptions in new diagnoses of four common cancers (prostate, lung, bladder, and colorectal) seen early in the COVID-19 pandemic have persisted for 2 years. Although reductions improved from the early pandemic, new reductions during the Delta and Omicron waves demonstrate the continued impact of the COVID-19 pandemic on cancer care.

Prediction of bleeding in patients being considered for venous thromboembolism prophylaxis.

BACKGROUND: Venous thromboembolism (pulmonary embolism and deep vein thrombosis) is an important preventable cause of in-hospital death. Prophylaxis with low doses of anticoagulants reduces the incidence of venous thromboembolism but can also cause bleeding. It is, therefore, important to stratify the risk of bleeding for hospitalized patients when considering pharmacologic prophylaxis. The IMPROVE (international medical prevention registry on venous thromboembolism) and Consensus risk assessment models (RAMs) are the two tools available for such patients. Few studies have evaluated their ability to predict bleeding in a large, unselected cohort of patients. We assessed the ability of the IMPROVE and Consensus bleeding RAMs to predict bleeding within 90 days of hospitalization in a comprehensive analysis encompassing all hospitalized patients, regardless of surgical vs nonsurgical status. METHODS: We analyzed consecutive first hospital admissions of 1,228,448 unique surgical and nonsurgical patients to 1298 Veterans Affairs facilities nationwide between January 2016 and December 2021. IMPROVE and Consensus scores were generated using data from a repository of their common electronic medical records. We assessed the ability of the two RAMs to predict bleeding within 90 days of admission. We used area under the receiver operating characteristic curves to determine the prediction of bleeding by each RAM. RESULTS: Of 1,228,448 hospitalized patients, 324,959 (26.5%) were surgical and 903,489 (73.5%) were nonsurgical. Of these patients, 68,372 (5.6%) had a bleeding event within 90 days of admission. The Consensus RAM scores ranged from -5.60 to -1.21 (median, -4.93; interquartile range, -5.60 to -4.93). The IMPROVE RAM scores ranged from 0 to 22 (median, 3.5; interquartile range, 2.5-5). Both showed good calibration, with higher scores associated with higher bleeding rates. The ability of both RAMs to predict 90-day bleeding was low (area under the receiver operating characteristic curve 0.61 for the IMPROVE RAM and 0.59 for the Consensus RAM). The predictive ability was also low at 30 and 60 days for surgical and nonsurgical patients, patients receiving prophylactic, therapeutic, or no anticoagulation, and patients hospitalized for ≥72 hours. Prediction was also low across different bleeding outcomes (ie, any bleeding, gastrointestinal bleeding, nongastrointestinal bleeding, and bleeding or death). CONCLUSIONS: In this large, unselected, nationwide cohort of surgical and nonsurgical hospital admissions, increasing IMPROVE and Consensus bleeding RAM scores were associated with increasing bleeding rates. However, both RAMs had low ability to predict bleeding at 0 to 90 days after admission. Thus, the currently available RAMs require modification and rigorous reevaluation before they can be applied universally.

Ability of Caprini and Padua Risk-Assessment Models to Predict Venous Thromboembolism in a Nationwide Study.

Background: Venous thromboembolism (VTE) is a preventable complication of hospitalization. Risk-stratification is the cornerstone of prevention. The Caprini and Padua are the most commonly used risk-assessment models to quantify VTE risk. Both models perform well in select, high-risk cohorts. While VTE risk-stratification is recommended for all hospital admissions, few studies have evaluated the models in a large, unselected cohort of patients. Methods: We analyzed consecutive first hospital admissions of 1,252,460 unique surgical and non-surgical patients to 1,298 VA facilities nationwide between January 2016 and December 2021. Caprini and Padua scores were generated using the VA's national data repository. We first assessed the ability of the two RAMs to predict VTE within 90 days of admission. In secondary analyses, we evaluated prediction at 30 and 60 days, in surgical versus non-surgical patients, after excluding patients with upper extremity DVT, in patients hospitalized ≥72 hours, after including all-cause mortality in the composite outcome, and after accounting for prophylaxis in the predictive model. We used area under the receiver-operating characteristic curves (AUC) as the metric of prediction. Results: A total of 330,388 (26.4%) surgical and 922,072 (73.6%) non-surgical consecutively hospitalized patients (total n=1,252,460) were analyzed. Caprini scores ranged from 0-28 (median, interquartile range: 4, 3-6); Padua scores ranged from 0-13 (1, 1-3). The RAMs showed good calibration and higher scores were associated with higher VTE rates. VTE developed in 35,557 patients (2.8%) within 90 days of admission. The ability of both models to predict 90-day VTE was low (AUCs: Caprini 0.56 [95% CI 0.56-0.56], Padua 0.59 [0.58-0.59]). Prediction remained low for surgical (Caprini 0.54 [0.53-0.54], Padua 0.56 [0.56-0.57]) and non-surgical patients (Caprini 0.59 [0.58-0.59], Padua 0.59 [0.59-0.60]). There was no clinically meaningful change in predictive performance in patients admitted for ≥72 hours, after excluding upper extremity DVT from the outcome, after including all-cause mortality in the outcome, or after accounting for ongoing VTE prophylaxis. Conclusions: Caprini and Padua risk-assessment model scores have low ability to predict VTE events in a cohort of unselected consecutive hospitalizations. Improved VTE risk-assessment models must be developed before they can be applied to a general hospital population.

Mid-term Surgery Outcomes in Patients With COVID-19: Results From a Nationwide Analysis.

OBJECTIVE: Determine mid-term postoperative outcomes among coronavirus disease 2019 (COVID-19)-positive (+) patients compared with those who never tested positive before surgery. BACKGROUND: COVID-19 is thought to be associated with prohibitively high rates of postoperative complications. However, prior studies have only evaluated 30-day outcomes, and most did not adjust for demographic, clinical, or procedural characteristics. METHODS: We analyzed data from surgeries performed at all Veterans Affairs hospitals between March 2020 and 2021. Kaplan-Meier curves compared trends in mortality and Cox proportional hazards models estimated rates of mortality and pulmonary, thrombotic, and septic postoperative complications between patients with a positive preoperative severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) test [COVID (+)] and propensity score-matched COVID-negative (-) patients. RESULTS: Of 153,741 surgical patients, 4778 COVID (+) were matched to 14,101 COVID (-). COVID (+) status was associated with higher postoperative mortality ( P <0.0001) with a 6-month survival of 94.2% (95% confidence interval: 93.2-95.2) versus 96.0% (95% confidence interval: 95.7.0-96.4) in COVID (-). The highest mortality was in the first 30 postoperative days. Hazards for mortality and postoperative complications in COVID (+) decreased with increasing time between testing COVID (+) and date of surgery. COVID (+) patients undergoing elective surgery had similar rates of mortality, thrombotic and septic complications, but higher rates of pulmonary complications than COVID (-) patients. CONCLUSIONS: This is the first report of mid-term outcomes among COVID-19 patients undergoing surgery. COVID-19 is associated with decreased overall and complication-free survival primarily in the early postoperative period, delaying surgery by 5 weeks or more reduces risk of complications. Case urgency has a multiplicative effect on short-term and long-term risk of postoperative mortality and complications.

Systematic review of venous thromboembolism risk categories derived from Caprini score.

OBJECTIVE: Hospital-acquired venous thromboembolism (VTE, including pulmonary embolism [PE] and deep vein thrombosis [DVT]) is a preventable cause of hospital death. The Caprini risk assessment model (RAM) is one of the most commonly used tools to assess VTE risk. The RAM is operationalized in clinical practice by grouping several risk scores into VTE risk categories that drive decisions on prophylaxis. A correlation between increasing Caprini scores and rising VTE risk is well-established. We assessed whether the increasing VTE risk categories assigned on the basis of recommended score ranges also correlate with increasing VTE risk. METHODS: We conducted a systematic review of articles that used the Caprini RAM to assign VTE risk categories and that reported corresponding VTE rates. A Medline and EMBASE search retrieved 895 articles, of which 57 fulfilled inclusion criteria. RESULTS: Forty-eight (84%) of the articles were cohort studies, 7 (12%) were case-control studies, and 2 (4%) were cross-sectional studies. The populations varied from postsurgical to medical patients. There was variability in the number of VTE risk categories assigned by individual studies (6 used 5 risk categories, 37 used 4, 11 used 3, and 3 used 2), and in the cutoff scores defining the risk categories (scores from 0 alone to 0-10 for the low-risk category; from ≥5 to ≥10 for high risk). The VTE rates reported for similar risk categories also varied across studies (0%-12.3% in the low-risk category; 0%-40% for high risk). The Caprini RAM is designed to assess composite VTE risk; however, two studies reported PE or DVT rates alone, and many of the other studies did not specify the types of DVTs analyzed. The Caprini RAM predicts VTE at 30 days after assessment; however, only 17 studies measured outcomes at 30 days; the remaining studies had either shorter or longer follow-ups (0-180 days). CONCLUSIONS: The usefulness of the Caprini RAM is limited by heterogeneity in its implementation across centers. The score-derived VTE risk categorization has significant variability in the number of risk categories being used, the cutpoints used to define the risk categories, the outcome being measured, and the follow-up duration. This factor leads to similar risk categories being associated with different VTE rates, which impacts the clinical and research implications of the results. To enhance generalizability, there is a need for studies that validate the RAM in a broad population of medical and surgical patients, identify standardized risk categories, define risk of DVT and PE as distinct end points, and measure outcomes at standardized follow-up time points.

Partial COVID-19 vaccination associated with reduction in postoperative mortality and SARS-CoV-2 infection.

BACKGROUND: There are currently no data to guide decisions about delaying surgery to achieve full vaccination. METHODS: We analyzed data from patients undergoing surgery at any of the 1,283 VA medical facilities nationwide and compared postoperative complication rates by vaccination status. RESULTS: Of 87,073 surgical patients, 20% were fully vaccinated, 15% partially vaccinated, and 65% unvaccinated. Mortality was reduced in full vaccination vs. unvaccinated (Incidence Rate Ratio 0.77, 95% CI [0.62, 0.94]) and partially vaccinated vs. unvaccinated (0.75 [0.60, 0.94]). Postoperative COVID-19 infection was reduced in fully (0.18 [0.12, 0.26]) and partially vaccinated patients (0.34 [0.24, 0.48]). Fully vaccinated compared to partially vaccinated patients, had similar postoperative mortality (1.02, [0.78, 1.33]), but had decreased COVID-19 infection (0.53 [0.32, 0.87]), pneumonia (0.75 [0.62, 0.93]), and pulmonary failure (0.79 [0.68, 0.93]). CONCLUSIONS: Full and partial vaccination reduces postoperative complications indicating the importance of any degree of vaccination prior to surgery.

Transcarotid revascularization outcomes do not differ by patient age or sex.

BACKGROUND: Transcarotid artery revascularization (TCAR) is a hybrid approach to carotid revascularization. Limited information is available on the differences in periprocedural complications and performance measures of TCAR for men compared with women and for older vs younger adults. METHODS: The patient, lesion, and physician characteristics were collected for all TCAR procedures performed by each physician worldwide in an international quality assurance database between March 3, 2009 and May 7, 2020. Clinical composite (ie, death, stroke, transient ischemic attack, myocardial infarction) and technical composite (ie, aborted procedure, conversion to surgery, bleeding, dissection, cranial nerve injury, device failure) adverse events within 24 hours of the procedure were recorded. Four performance measures were recorded: flow-reversal time, fluoroscopy time, contrast volume, and skin-to-skin time. Poisson regressions were used to assess the effects of age and sex on the incidence of clinical and technical composite adverse events. Linear regressions were used to compare the four performance measures. RESULTS: A total of 18,240 TCARs were performed by 1273 physicians; 34.9% of the patients were women and 37.5% were symptomatic. The overall incidence of clinical and technical composite adverse events was low. The adjusted clinical (1.62% [95% confidence interval (CI), 1.17%-2.23%] vs 1.35% [95% CI, 1.01%-1.79%]; P = .22) and technical (7.84% [95% CI, 6.85%-8.97%] vs 7.80% [95% CI, 6.94%-8.77%]; P = .93) composite adverse event rates did not vary for women vs men. The adjusted clinical (P = .65) and technical (P = .55) composite adverse event rates also did not vary by age. The adjusted skin-to-skin time was shorter for the women (76.6 minutes; 95% CI, 74.6-78.6) than for the men (77.7 minutes; 95% CI, 75.7-79.6; P = .002). Significant differences were found by age group for fluoroscopy time, flow-reversal time, and skin-to-skin time, although the magnitude of these differences was small (<1 minute for each). CONCLUSIONS: The clinical and technical outcomes of TCAR are not affected by age or sex. We found clinically minor differences in the procedural performance measures when stratified by age and sex. In addition to being safe for younger individuals, TCAR could also be the preferred method for performing carotid stenting in women and older patients, in particular, older women.

Learning curve and proficiency metrics for transcarotid artery revascularization.

BACKGROUND: When introduced to a new procedure, physicians improve their performance and reduce their procedural adverse event rates rapidly during the initial cases and then improvement slows, signaling that proficiency has been achieved. Determining when they have acquired proficiency has important implications for procedural innovation, education, credentialing, and patient safety. We analyzed the worldwide experience with transcarotid artery revascularization (TCAR), a hybrid approach to carotid revascularization, to identify the (1) procedural performance measures associated with clinical and technical adverse events; (2) target levels of performance measures that minimize adverse event rates; and (3) number of TCAR cases needed to achieve the target levels for the performance measures. METHODS: The patient, lesion, and physician characteristics were collected for each TCAR procedure performed by each physician worldwide in an international quality assurance database. Four procedural performance measures were recorded for each procedure: flow-reversal time, fluoroscopy time, contrast volume, and total skin-to-skin time. Composite clinical adverse events (ie, transient ischemic attack, stroke, myocardial infarction, death) and composite technical adverse events (ie, aborted procedure, conversion to surgery, bleeding, dissection, cranial nerve injury, device failure), occurring within 24 hours were also recorded. Correlations between each performance measure and the clinical and technical adverse event rates were computed. The inflection points in the performance measures were identified at which no further improvements occurred in the adverse event rates. Finally, the minimum number of TCAR cases required to achieve the target performance measure levels was computed. RESULTS: A total of 18,240 procedures performed by 1273 physicians were analyzed. Of the 18,240 patients, 34.9% were women and 62.5% were asymptomatic. The flow-reversal time correlated with clinical adverse events adjusted for age, sex, and symptomatic status (R2 = 0.91; P < .0001) and adjusted technical adverse events (R2 = 0.86; P < .0001). The skin-to-skin time correlated with adjusted technical adverse events (R2 = 0.92; P < .0001). A reduction in flow-reversal times to <13.1 minutes and the skin-to-skin time to <81 minutes did not translate into further improvements in the adverse event rates. A minimum of 26 TCAR cases was required to achieve the target flow-reversal time, and a minimum of 15 cases was required to achieve the target skin-to-skin time. CONCLUSIONS: The flow-reversal time and skin-to-skin time are appropriate performance measures for establishing the level of expertise of physicians as they acquire skills to perform TCAR. A target time of ≤13.1 minutes for flow-reversal and 81 minutes for skin-to-skin time minimized the adverse event rates. Familiarity with the steps involved in performing TCAR was achieved after ≥15 cases, and minimizing clinical adverse events occurred after ≥26 cases.

Problem-solving in technology-rich environments and cancer screening in later life.

Routine cancer screening is widely recognized as an effective preventive strategy to reduce cancer mortality - the second leading cause of death in the US. However, cancer screening requires a complex array of tasks such as seeking up-to-date guidelines, making appointments, planning hospital visits, and communicating with health care professionals. Importantly, modern health care largely relies on technology to disseminate the latest information and administer the system. Yet, little is known about the technology-related skills that are relevant to regular cancer screening. This study examined the association between problem-solving skills in the technology-rich environment and cancer screening in later life. Using 2012/2014 Program for International Assessment of Adult Competencies data, binary logistic regressions with survey weights were used to estimate the association between problem-solving skills in the technology-rich environment and four cancer screening behaviors among the corresponding target populations aged between 45 and 74 years old (n = 1374 for cervical screening; n = 1373 for breast screening; n = 1166 for prostate screening; n = 2563 for colon screening). Results showed that greater problem-solving skills in the technology-rich environment scores (0-500 points) were significantly and positively associated with prostate cancer screening (odds ratio = 1.005, P < 0.05) among men, but not with colon (men and women) or cervical or breast (women) cancer screenings. Improvement in problem-solving skills in the technology-rich environment may promote specific cancer screening behaviors. Our findings inform future policy discussions and interventions that seek to improve cancer screening among a vulnerable section of older populations.

Literacy skills, language use, and online health information seeking among Hispanic adults in the United States.

OBJECTIVE: Online health information is underutilized among Hispanics with low English proficiency in the U.S. This study examines the association between a unique measure of general English literacy, language use, and online health information seeking among Hispanic adults. METHODS: Data for Hispanics ages 25-65 (N = 700) come from the 2012/2014 Program for International Assessment of Adult Competencies (PIAAC). Binary logistic regression models were used to predict online health information seeking as a function of literacy skill scores (0-500 points) and primary language use (Spanish vs. other). RESULTS: Literacy (Odds-Ratio = 1.012, p <  0.001) was a positive predictor, while speaking Spanish at home (Odds-Ratio = 0.352, p <  0.01) was a negative predictor of online health information seeking. CONCLUSION: Literacy skills and language use appear to be separate contributors of online health information seeking among Hispanic adults. PRACTICE IMPLICATIONS: Online health information providers should be aware of literacy skills and Spanish language use as barriers to online health information seeking among Hispanics, particularly those who have both limited literacy skills and predominantly Spanish language use.

Problem Solving in Technology-Rich Environments and Self-Rated Health Among Adults in the U.S.: An Analysis of the Program for the International Assessment of Adult Competencies.

Problem-solving skills in the context of technologically complex modern societies have become increasingly important to health management in later life. This study is designed to investigate the associations between problem-solving skills in technology-rich environments (PSTRE) and health, and to explore whether age differences exist. Using data from the 2012/2014 Program for the International Assessment of Adult Competencies (PIAAC), we used logistic regression to examine the relationship between PSTRE and self-reported health among a representative sample of American adults aged 35 years and older (N = 3,260). Overall, greater PSTRE (odds ratio [OR] = 1.012, p < .001) was significantly associated with better self-rated health even after adjusting for the sociodemographic characteristics. Yet, PSTRE was only partially predictive of health in some age groups. Our findings highlight the potential of PSTRE to reduce health disparities among middle-aged and older adults living in modern technology and information-rich societies.

The Roles of Education, Literacy, and Numeracy in Need for Health Information during the Second Half of Adulthood: A Moderated Mediation Analysis.

We examine complex pathways that link health information seeking behavior with education and health literacy (decomposed into general literacy and numeracy), and how these pathways differ by perceived health status (need) among a nationally representative sample of Americans age 50 and older (n = 2,750). Data come from the Program for International Assessment of Adult Competencies (PIAAC). Multi-group structural equation models were used to examine the use of eight health information sources (newspapers, magazines, internet, radio, TV, books, friends/family, and health professionals). Findings partially support the long-standing notion that health seeking behaviors are directly linked to educational attainment, and provide some of the first nationally representative evidence for how education functions through distinct health literacy components to shape health information seeking behaviors by health status. Findings from this moderated mediation analysis point to the importance of examining, and addressing, health literacy disparities in access to and use of health information.

Hypothesis Testing of CNA Perceptions of Organizational Culture in Long Term Care.

This commentary for the special issue on research that went wrong describes a study that explored factors that contribute to variability within Certified Nursing Assistants (CNAs) on organizational safety culture. We know from previous research that CNAs provide most direct care in nursing homes and that direct care workers often experience agency culture differently from agency management (Wolf et al., 2014). We were looking for factors that nursing homes could alter to improve the culture for CNAs, and thus, residents. We conducted a secondary analysis of data collected via a multi-component paper survey of CNAs employed in long term care. We used results from the Nursing Home Survey on Patient Safety Culture and primary shift, type of unit, and years as a CNA to identify modifiable characteristics that would explain variability in the perceptions of patient safety culture. The final sample included n = 106 from three nursing homes. Dimension scores were compared using bivariate tests appropriate to the scale and ordinal logistic regression. Despite support in the literature for the hypothesis, we found few significant differences on the total scale within groups. Differences in perceptions have implications for quality of care and the experiences of residents within nursing homes.