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                    "firstName": "Kevin",
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                    "firstName": "Ronald M.",
                    "lastName": "Epstein"
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                    "lastName": "Griggs"
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                    "lastName": "Marshall"
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            "abstractNote": "Rationale Implicit racial bias affects many human interactions including patient-physician encounters. Its impact, however, varies between studies. We assessed the effects of physician implicit, racial bias on their management of cancer-related pain using a randomized field experiment. Methods We conducted an analysis of a randomized field experiment between 2012 and 2016 with 96 primary care physicians and oncologists using unannounced, Black and White standardized patients (SPs)who reported uncontrolled bone pain from metastatic lung cancer. We assessed implicit bias using a pain-adaptation of the race Implicit Association Test. We assessed clinical care by reviewing medical records and prescriptions, and we assessed communication from coded transcripts and covert audiotapes of the unannounced standardized patient office visits. We assessed effects of interactions of physicians’ implicit bias and SP race with clinical care and communication outcomes. We conducted a slopes analysis to examine the nature of significant interactions. Results As hypothesized, physicians with greater implicit bias provided lower quality care to Black SPs, including fewer renewals for an indicated opioid prescription and less patient-centered pain communication, but similar routine pain assessment. In contrast to our other hypotheses, physician implicit bias did not interact with SP race for prognostic communication or verbal dominance. Analysis of the slopes for the cross-over interactions showed that greater physician bias was manifested by more frequent opioid prescribing and greater discussion of pain for White SPs and slightly less frequent prescribing and pain talk for Black SPs with the opposite effect among physicians with lower implicit bias. Findings are limited by use of an unvalidated, pain-adapted IAT. Conclusion Using SP methodology, physicians’ implicit bias was associated with clinically meaningful, racial differences in management of uncontrolled pain related to metastatic lung cancer. There is favorable treatment of White or Black SPs, depending on the level of implicit bias.",
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            "publisher": "",
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            "date": "Oct 27, 2021",
            "volume": "16",
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            "extra": "Publisher: Public Library of Science",
            "tags": [
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                    "tag": "Cancers and neoplasms",
                    "type": 1
                },
                {
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                    "firstName": "Sadaaki",
                    "lastName": "Fukui"
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                    "creatorType": "author",
                    "firstName": "Brian E.",
                    "lastName": "Etier"
                },
                {
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                    "firstName": "Scott P.",
                    "lastName": "Orr"
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                {
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                    "lastName": "Antonetti"
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                {
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                    "firstName": "Scott B.",
                    "lastName": "Thomas"
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                {
                    "creatorType": "author",
                    "firstName": "Steven M.",
                    "lastName": "Theiss"
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            ],
            "abstractNote": "Background Context\nPatient satisfaction is and will continue to become an important metric in the American health care system. To our knowledge, there is no current literature exploring the factors that impact patient satisfaction in outpatient orthopedic spine surgery clinic.\nPurpose\nThe purpose of this study was to determine which factors impact patient satisfaction in an outpatient orthopedic spine clinic.\nStudy Design\nThis is a case series, level of evidence IV.\nPatient Sample\nWe reviewed the Press Ganey Associates database to identify patients seen in an orthopedic spine surgery clinic from 2013 to 2015.\nOutcome Measures\nOutcome measures were self-reported, which included visual analog pain scores and Press Ganey satisfaction scores.\nMethods\nRetrospective computerized Press Ganey survey review was performed to identify patient demographics and patient visit characteristics. Bivariate analysis was used by splitting the patient response into the following: 0–3 (not satisfied), 4–7 (somewhat satisfied), and 8–11 (satisfied). Kruskal-Wallis test and Fisher exact test were used to evaluate the significance of patient and visit characteristics. Any variable that had a p-value less than .20 was subjected to the Poisson regression model.\nResults\nOverall, 353 patients were seen in an orthopedic spine surgery clinic and completed the Press Ganey survey. Three hundred and thirty-two patients were satisfied with their visit. Patients who were satisfied had a mean pain score of 4.02; patients who were somewhat satisfied or not satisfied had a pain score of 7 and 6, respectively (p=.009). Of 21 patients who felt the provider did not spend enough time with him or her, five (24%) patients were not satisfied with their visit. Poisson regression model confirmed significance of pain score and “provider time spent with you.” Most impactful was “provider spent enough time with you” where a “yes, definitely” answer predicted a nearly 60% increase in Press Ganey overall satisfaction score.\nConclusions\nTwo patient variables that have a statistical significance on Press Ganey patient satisfaction scores were pain score and “provider spent enough time with you.”",
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            "title": "Patient Satisfaction and its Relation to Perceived Visit Duration With a Hand Surgeon",
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            "abstractNote": "Purpose\nTo determine whether patient perception of time spent with a hand surgeon relates to patient satisfaction after a single new-patient office visit.\nMethods\nPrior to each visit, 112 consecutive new patients predicted how much time they expected to spend with the surgeon. Following the visit, patients were asked to estimate the time spent with the surgeon, indicate whether the surgeon appeared rushed, and rate their overall satisfaction with the surgeon. Wait time and actual visit duration were measured. Patients also completed a sociodemographic survey, the Consultation and Relational Empathy Measure, the Newest Vital Sign Health Literacy test, and 3 Patient-Reported Outcomes Measurement Information System–based questionnaires: Upper Extremity Function, Pain Interference, and Depression. Multivariable logistic and linear regression models were used to determine predictors of patient satisfaction, patient-perceived surgeon rush, and high previsit expectations of visit duration.\nResults\nPatient satisfaction was not associated with perceived visit duration but did correlate strongly with patient-rated surgeon empathy and symptoms of depression. Neither visit duration nor previsit expectations of visit length were determinants of patient-perceived surgeon rush. Only surgeon empathy was associated. Less-educated patients anticipated needing more time with the surgeon.\nConclusions\nPatient satisfaction with the surgeon and with the time spent during the office visit was primarily linked to surgeon empathy rather than to visit duration or previsit expectation of visit length. Efforts to make hand surgery office visits more patient-centered should focus on improving dialogue quality, and not necessarily on making visits longer.\nType of study/level of evidence\nPrognostic II.",
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            "abstractNote": "Purpose The purpose of this paper is to assess the relationship between patient satisfaction and a variety of clinical quality measures in an ambulatory setting to determine if there is significant overlap between patient satisfaction and clinical quality or if they are separate domains of overall physician quality. Assessing this relationship will help to determine whether there is congruence between different types of clinical quality performance and patient satisfaction and therefore provide insight to appropriate financial structures for physicians. Design/methodology/approach Ordered probit regression analysis is conducted with overall rating of physician from patient satisfaction responses to the Clinician and Groups Consumer Assessment of Healthcare Providers and Systems survey as the dependent variable. Physician clinical quality is measured across five composite groups based on 26 Healthcare Effectiveness Data and Information Set (HEDIS) measures aggregated from patient electronic health records. Physician and patient demographic variables are also included in the model. Findings Better physician performance on HEDIS measures are correlated with increases in patient satisfaction for three composite measures: antibiotics, generics, and vaccination; it has no relationship for chronic conditions and is correlated with decrease in patient satisfaction for preventative measures, although the negative relationship for preventative measures is not robust in sensitivity analysis. In addition, younger physicians and male physicians have higher satisfaction scores even with the HEDIS quality measures in the regression. Research limitations/implications There are four primary limitations to this study. First, the data for the study come from a single hospital provider organization. Second, the survey response rate for the satisfaction measure is low. Third, the physician clinical quality measure is the percent of the physician’s relevant patient population that met the HEDIS measure rather than if the measure was met for the individual patient. Finally, it is not possible to distinguish if the significant coefficient estimates on the physician age and gender variables are capturing systematic differences in physician behavior or capturing patient bias. Practical implications The results suggest patient satisfaction and physician clinical quality may be complementary, capturing similar aspects of overall physician quality, across some clinical quality measures but for other measures satisfaction and clinical quality are unrelated or negatively related. Therefore, for some clinical quality metrics, it will be important to separately compensate clinical quality and satisfaction and understand the relationship between metrics. Finally, the strong relationship between the level of patient satisfaction and physician age, physician gender, and patient age are important to consider when designing a physician compensation package based on patient satisfaction; if these differences reflect patient bias they could increase inequality among medical staff if compensation is based on patient satisfaction. Originality/value This study is the first to use physician organization data to examine patient satisfaction and physician performance on a variety of HEDIS quality metrics.",
            "publicationTitle": "Journal of Health Organization and Management",
            "publisher": "",
            "place": "",
            "date": "2016-01-01",
            "volume": "30",
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            "pages": "1063-1080",
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            "title": "Relationship Between Patient Satisfaction And Physician Characteristics",
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                    "firstName": "J Gene",
                    "lastName": "Chen"
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                {
                    "creatorType": "author",
                    "firstName": "Baiming",
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            "abstractNote": "Background:Physician care influences patient satisfaction. Inherent physician attributes may also affect scores.Objective:To determine the relationship between physician characteristics and patient satisfaction regarding physician care and communication.Method:Observational retrospective study. We examined patient satisfaction surveys from inpatient adults across 9 questions (HCAHPS: Courtesy, Listen, and Explain; Press Ganey: Time, Concern, Informed, Friendliness, Skill, Rating) in relation to physician gender, age, ethnicity, race, and specialty.Results:We analyzed 51 896 surveys on 914 physicians. In univariate analysis, males were rated significantly more often in the highest category (top box) compared to females on Informed and Skill, and whites were rated in the top box more often than nonwhites on all questions. In multivariate analysis, there were no significant associations between ratings and physician gender, ethnicity, and race. On all questions, the odds of being rated in the top box were highest for obstetricians, second highest for surgeons, and lowest for medicine providers. On the question of Skill, the odds of being rated in the top box were higher with increasing age.Conclusion:Patient satisfaction regarding physicians is associated with physician specialty and age.",
            "publicationTitle": "Journal of Patient Experience",
            "publisher": "",
            "place": "",
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            "volume": "4",
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            "partNumber": "",
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            "title": "Patient Satisfaction with Time Spent with Their Physician",
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                {
                    "creatorType": "author",
                    "firstName": "David A.",
                    "lastName": "Gross"
                },
                {
                    "creatorType": "author",
                    "firstName": "Stephen J.",
                    "lastName": "Zyzanski,"
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                {
                    "creatorType": "author",
                    "firstName": "Elaine A.",
                    "lastName": "Borawski,"
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                {
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                    "firstName": "Kurt C.",
                    "lastName": "Stange"
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            "abstractNote": "BACKGROUND. We examined the variables related to patient satisfaction with the time spent with their family\nphysician during the office visit.\nMETHODS. Research nurses directly observed consecutive patient visits to 138 family physicians in 84 practices.\nAnalyses examined sequential models of the association of patient and physician characteristics, visit type\nand length, and time use during visits, with patients’ satisfaction with the amount of time spent with their physician.\nRESULTS. Among 2315 visits by adult patients returning questionnaires, patient satisfaction with the time spent\nwith their physician was high and strongly linked to longer visits (P <.001). After controlling for visit duration,\ngreater patient satisfaction with time spent was associated with older patient age, white race, better perceived\nhealth status, visits for well care, and visits with a greater proportion of the visit spent chatting. The physician’s\ndiscussion of test results or findings from the physical examination was associated with greater satisfaction with\ntime spent for visits longer than 15 minutes, but with less satisfaction with time spent for shorter visits.\nCONCLUSIONS. Physicians can enhance patient satisfaction with the amount of time spent during an office\nvisit by spending a small proportion of time chatting about nonmedical topics, and by allowing sufficient time for\nexchange with the patient if feedback is necessary.\nKEY",
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            "date": "1998",
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            "title": "Communicating shared decision-making: Cancer patient perspectives",
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                    "firstName": "Sally",
                    "lastName": "Thorne"
                },
                {
                    "creatorType": "author",
                    "firstName": "John L.",
                    "lastName": "Oliffe"
                },
                {
                    "creatorType": "author",
                    "firstName": "Kelli I.",
                    "lastName": "Stajduhar"
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            "abstractNote": "Objective\nTo contribute to the evolving dialogue on optimizing cancer care communication through systematic analyzes of patients’ perspectives.\nMethods\nUsing constant comparative analysis, inductively derived thematic patterns of communication preferences for shared decision-making were drawn from individual interviews with 60 cancer patients.\nResults\nThematic patterns in how patients understand barriers and facilitators to communication within shared decision-making illuminate the basis for distinctive patient preferences and needs. Prevailing cancer communication considerations included focusing attention on the tone and setting of the consultation environment, the attitudinal climate within the consult, the specific approach to handling numerical/statistical information, and the critical messaging around hope. The patient accounts surfaced complex dynamics whereby the experiences of living with cancer permeated interpretations and enactment of the shared decision-making that is emerging as a dominant ideal of cancer care.\nConclusion\nIn our efforts to move beyond traditional paternalism, shared decision-making has been widely advocated as best practice in cancer communication. However, patient experiential evidence suggests the necessity of a careful balance between standardized approaches and respect for diversities.\nPractice implications\nShared decision-making as a practice standard must be balanced against individual patient preferences.",
            "publicationTitle": "Patient Education and Counseling",
            "publisher": "",
            "place": "",
            "date": "March 1, 2013",
            "volume": "90",
            "issue": "3",
            "section": "",
            "partNumber": "",
            "partTitle": "",
            "pages": "291-296",
            "series": "Quality of Communication from the Patient Perspective",
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            "journalAbbreviation": "Patient Education and Counseling",
            "DOI": "10.1016/j.pec.2012.02.018",
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            "shortTitle": "Communicating shared decision-making",
            "language": "en",
            "libraryCatalog": "ScienceDirect",
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            "tags": [
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                    "tag": "Informed consent",
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                    "tag": "Psychosocial oncology",
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