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Distress in the radiology waiting room.

ABSTRACT: To assess the level of distress in women awaiting radiologic procedures.In this institutional review board-approved and HIPAA-compliant study, 214 women between 18 and 86 (mean, 47.9) years of age completed the State Trait Anxiety Inventory (STAI), Impact of Events Scale (IES), Center for Epidemiologic Studies Depression Scale (CES-D), and Perceived Stress Scale (PSS) immediately prior to their procedures. One hundred twelve women awaited breast biopsy; 42, hepatic chemoembolization for cancer; and 60, uterine fibroid embolization. Data were analyzed with multivariate analysis of variance and post hoc Tukey tests. Results are reported as means and 95% confidence intervals (CIs).All three patient groups experienced abnormally high mean PSS, IES, and CES-D scores, but only the breast biopsy group had highly abnormal anxiety levels. Breast biopsy patients had a significantly higher mean STAI score of 48 (95% CI: 45, 50) than did women awaiting hepatic chemoembolization (mean score, 26; 95% CI: 22, 29; P < .001) and fibroid embolization (mean score, 24; 95% CI: 21, 27; P < .001). IES ratings did not differ significantly among the groups, with a mean score of 26 (95% CI: 23, 29) for breast biopsy patients, 23 (95% CI: 18, 28) for hepatic chemoembolization patients, and 23 (95% CI: 18, 27) for fibroid embolization patients. The CES-D score did not differ significantly among breast biopsy (mean score, 15; 95% CI: 13, 17), hepatic chemoembolization (mean score, 14; 95% CI: 11, 18), and fibroid embolization (mean score, 12; 95% CI: 9, 15) patients. PSS ratings of breast biopsy patients were significantly higher (mean score, 18; 95% CI: 16, 19) than those of hepatic chemoembolization patients (mean, 15; 95% CI: 13, 17; P < .01), but they were not significantly different from those of women awaiting fibroid embolization (mean, 16; 95% CI: 14, 18; P = .23).Uncertainty of diagnosis can be associated with greater stress than is awaiting more invasive and potentially risky treatment.

SUBMITTER: Flory N

PROVIDER: S-EPMC3121015 | biostudies-other | 2011 Jul

REPOSITORIES: biostudies-other

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Project description:IntroductionPatients with cardiovascular disease (CVD) frequently attend outpatient clinics and spend a significant amount of time in waiting rooms. Currently, this time is poorly used. This study aims to investigate whether providing CVD and cardiopulmonary resuscitation (CPR) education to waiting patients in a cardiology clinic of a large referral hospital improves motivation to change health behaviours, CPR knowledge, behaviours and clinic satisfaction post clinic, and whether there is any impact on reported CVD lifestyle behaviours or relevant CPR outcomes at 30 days.Methods and analysisRandomised controlled trial with parallel design to be conducted among 330 patients in the waiting room of a chest pain clinic in a tertiary referral hospital. Intervention (n=220) participants will receive a tablet-delivered series of educational videos catered to self-reported topics of interest (physical activity, blood pressure, diet, medications, smoking and general health) and level of health knowledge. Control (n=110) participants will receive usual care. In a substudy, intervention participants will be randomised 1:1 to receive an extra video on CPR or no extra video. The primary outcome will be the proportion of intervention and control participants who report high motivation to improve physical activity, diet and blood pressure monitoring at end of clinic. The primary outcome of the CPR study will be confidence to perform CPR post clinic. Secondary analysis will examine impact on clinic satisfaction, lifestyle behaviours, CPR knowledge and willingness to perform CPR post clinic and at 30-day follow-up.Ethics and disseminationEthics approval has been received from the Western Sydney Local Health District Human Research Ethics Committee. All patients will provide informed consent via a tablet-based eConsent framework. Study results will be disseminated via the usual channels including peer-reviewed publications and presentations at national and international conferences.Trial registration numberANZCTR12618001725257.

Project description:ObjectivesAcute respiratory distress syndrome is frequently under recognized and associated with increased mortality. Previously, we developed a model that used machine learning and natural language processing of text from radiology reports to identify acute respiratory distress syndrome. The model showed improved performance in diagnosing acute respiratory distress syndrome when compared to a rule-based method. In this study, our objective was to externally validate the natural language processing model in patients from an independent hospital setting.DesignSecondary analysis of data across five prospective clinical studies.SettingAn urban, tertiary care, academic hospital.PatientsAdult patients admitted to the medical ICU and at-risk for acute respiratory distress syndrome.InterventionsNone.Measurements and main resultsThe natural language processing model was previously derived and internally validated in burn, trauma, and medical patients at Loyola University Medical Center. Two machine learning models were examined with the following text features from qualifying radiology reports: 1) word representations (n-grams) and 2) standardized clinical named entity mentions mapped from the National Library of Medicine Unified Medical Language System. The models were externally validated in a cohort of 235 patients at the University of Chicago Medicine, among which 110 (47%) were diagnosed with acute respiratory distress syndrome by expert annotation. During external validation, the n-gram model demonstrated good discrimination between acute respiratory distress syndrome and nonacute respiratory distress syndrome patients (C-statistic, 0.78; 95% CI, 0.72-0.84). The n-gram model had a higher discrimination for acute respiratory distress syndrome when compared with the standardized named entity model, although not statistically significant (C-statistic 0.78 vs 0.72; p = 0.09). The most important features in the model had good face validity for acute respiratory distress syndrome characteristics but differences in frequencies did occur between hospital settings.ConclusionsOur computable phenotype for acute respiratory distress syndrome had good discrimination in external validation and may be used by other health systems for case-identification. Discrepancies in feature representation are likely due to differences in characteristics of the patient cohorts.

Project description:IntroductionDiet-related disease is disproportionately concentrated in low-income communities where fruit and vegetable consumption is far below guidelines. To address financial barriers, Double Up Food Bucks (DUFB)-a statewide healthy food incentive-matches Supplemental Nutrition Assistance Program (SNAP) funds spent at farmers markets. However, incentive use is limited. This study examined the impact of a brief waiting room-based intervention about DUFB on program utilization and produce consumption.Study designLongitudinal, repeated measures, quasi-experimental trial.Setting/participantsSNAP-enrolled adults at a health center in a low-income, racially and ethnically diverse area of Southeast Michigan.InterventionParticipants received a brief explanation of DUFB, written program materials, a map highlighting market locations and hours, and an initial $10 market voucher. DUFB use and produce consumption were measured through four surveys over 5 months (August 2014-January 2015).Main outcome measuresOutcome measures included DUFB use and fruit and vegetable consumption (analyses conducted in 2015-2016).ResultsA total of 302 eligible adults were identified, and 177 (59%) enrolled. One hundred twenty-seven (72%) completed all surveys. At baseline, 57% of participants reported shopping at a farmers market within the last year; 18% had previously used DUFB. By the end of the DUFB season, participants were significantly more likely to report DUFB use than at baseline (AOR=19.2, 95% CI=10.3, 35.5, p<0.001), with 69% of participants reporting use of DUFB at least once, and 34% reporting use of DUFB three or more times. Adjusted fruit and vegetable consumption increased from baseline by 0.65 servings/day (95% CI=0.37, 0.93, p<0.001) at 3 months, and remained 0.62 servings/day (95% CI=0.32, 0.92, p<0.001) higher than baseline 2 months post-DUFB season.ConclusionsA brief clinic-based intervention was associated with a nearly fourfold increase in uptake of a SNAP incentive program, as well as clinically and statistically significant increases in produce consumption. Results suggested sustained behavior change even once the financial incentive was no longer available. Providing information about healthy food incentives is a low-cost, easily implemented intervention that may increase produce consumption among low-income patients.

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Distress in the radiology waiting room.

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