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"", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "0197-2510", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "EBSCOhost", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Benchmarking", "type": 1 }, { "tag": "Databases, Health", "type": 1 }, { "tag": "Defibrillation", "type": 1 }, { "tag": "Defibrillators, Automated External", "type": 1 }, { "tag": "Education, Continuing", "type": 1 }, { "tag": "Emergency Medical Services -- Administration", "type": 1 }, { "tag": "Emergency Medical Technicians -- Education", "type": 1 }, { "tag": "Feedback", "type": 1 }, { "tag": "Heart Arrest -- Mortality", "type": 1 }, { "tag": "Heart Arrest -- Therapy", "type": 1 }, { "tag": "North Carolina", "type": 1 }, { "tag": "Outcomes (Health Care)", "type": 1 }, { "tag": "Performance Measurement Systems", "type": 1 }, { "tag": "Prehospital Care", "type": 1 }, { "tag": "Process Assessment (Health Care)", "type": 1 }, { "tag": "Professional Practice, Evidence-Based", "type": 1 }, { "tag": "Protocols", "type": 1 }, { "tag": "Quality Improvement -- Methods", "type": 1 }, { "tag": "Resuscitation, Cardiopulmonary -- Equipment and Supplies", "type": 1 }, { "tag": "Resuscitation, Cardiopulmonary -- Methods", "type": 1 }, { "tag": "Staff Development", "type": 1 }, { "tag": "Survival Analysis", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2013-11-06T18:41:17Z", "dateModified": "2013-11-06T18:41:17Z" } }, { "key": "X9V9AHSA", "version": 4, "library": { "type": "group", "id": 189291, "name": "performa_hospit_bdd_cinahl", "links": { "alternate": { "href": "https://www.zotero.org/groups/performa_hospit_bdd_cinahl", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/189291/items/X9V9AHSA", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/performa_hospit_bdd_cinahl/items/X9V9AHSA", "type": "text/html" }, "up": { "href": 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"author", "firstName": "Gregg, S.", "lastName": "Meyer" }, { "creatorType": "author", "firstName": "Timothy, G.", "lastName": "Ferris" } ], "abstractNote": "Physicians are increasingly becoming salaried employees of hospitals or large physician groups. Yet few published reports have evaluated provider-driven quality incentive programs for salaried physicians. In 2006 the Massachusetts General Physicians Organization began a quality incentive program for its salaried physicians. Eligible physicians were given performance targets for three quality measures every six months. The incentive payments could be as much as 2 percent of a physician's annual income. Over thirteen six-month terms, the program used 130 different quality measures. Although quality-of-care improvements and cost reductions were difficult to calculate, anecdotal evidence points to multiple successes. For example, the program helped physicians meet many federal health information technology meaningful-use criteria and produced $15.5 million in incentive payments. The program also facilitated the adoption of an electronic health record, improved hand hygiene compliance, increased efficiency in radiology and the cancer center, and decreased emergency department use. The program demonstrated that even small incentives tied to carefully structured metrics, priority setting, and clear communication can help change salaried physicians' behavior in ways that improve the quality and safety of health care and ease the physicians' sense of administrative burden.", "publicationTitle": "Health Affairs", "publisher": "", "place": "", "date": "octobre 2013", "volume": "32", "issue": "10", "section": "", "partNumber": "", "partTitle": "", "pages": "1748-1756", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Health Affairs", "DOI": "10.1377/hlthaff.2013.0377", "citationKey": "", "url": "", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "0278-2715", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "EBSCOhost", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Behavioral Changes", "type": 1 }, { "tag": "Computerized Patient Record -- Utilization", "type": 1 }, { "tag": "Emergency Service -- Utilization", "type": 1 }, { "tag": "Goal-Setting", "type": 1 }, { "tag": "Group Practice -- Classification -- Massachusetts", "type": 1 }, { "tag": "Handwashing", "type": 1 }, { "tag": "Human", "type": 1 }, { "tag": "Massachusetts", "type": 1 }, { "tag": "Organizational Efficiency", "type": 1 }, { "tag": "Outcome Assessment", "type": 1 }, { "tag": "Outcomes Research -- Massachusetts", "type": 1 }, { "tag": "Performance Measurement Systems -- Utilization", "type": 1 }, { "tag": "Physician Incentive Plans -- Massachusetts", "type": 1 }, { "tag": "Quality Improvement", "type": 1 }, { "tag": "Reimbursement, Incentive", "type": 1 }, { "tag": "Retrospective Design", "type": 1 }, { "tag": "Systems Implementation", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2013-11-06T18:41:12Z", "dateModified": "2013-11-06T18:41:12Z" } }, { "key": "4BXE28XZ", "version": 4, "library": { "type": "group", "id": 189291, "name": "performa_hospit_bdd_cinahl", "links": { 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Using data from a survey of health plans, we characterize the use of such performance measures by private payers. We also compare the use of these measures among selected private and public programs. We studied twenty-three health plans with 121 million commercial enrollees--66 percent of the national commercial enrollment. The health plans reported using 546 distinct performance measures. There was much variation in the use of performance measures in both private and public payment and care delivery programs, despite common areas of focus that included cardiovascular conditions, diabetes, and preventive services. We conclude that policy makers and stakeholders who seek less variability in the use of performance measures to increase consistency should balance this goal with the need for flexibility to meet the needs of specific populations and promote innovation.", "publicationTitle": "Health Affairs", "publisher": "", "place": "", "date": "août 2013", "volume": "32", "issue": "8", "section": "", "partNumber": "", "partTitle": "", "pages": "1453-1461", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Health Affairs", "DOI": "10.1377/hlthaff.2013.0007", "citationKey": "", "url": "", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "0278-2715", "archive": "", "archiveLocation": "", "shortTitle": "Provider Performance Measures In Private And Public Programs", "language": "", "libraryCatalog": "EBSCOhost", "callNumber": "2012214299", "rights": "", "extra": "", "tags": [ { "tag": "Comparative Studies", "type": 1 }, { "tag": "Data Analysis Software", "type": 1 }, { "tag": "Descriptive Statistics", "type": 1 }, { "tag": "Health Care Delivery", "type": 1 }, { "tag": "Performance Measurement Systems", "type": 1 }, { "tag": "Private Sector", "type": 1 }, { "tag": "Public Health", "type": 1 }, { "tag": "Public Sector", "type": 1 }, { "tag": "Purposive Sample", "type": 1 }, { "tag": "Quality Improvement", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2013-09-12T19:29:54Z", "dateModified": "2013-09-12T19:29:54Z" } }, { "key": "CBX6UKS5", "version": 2, "library": { "type": "group", "id": 189291, "name": "performa_hospit_bdd_cinahl", "links": { "alternate": { "href": "https://www.zotero.org/groups/performa_hospit_bdd_cinahl", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/189291/items/CBX6UKS5", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/performa_hospit_bdd_cinahl/items/CBX6UKS5", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/189291/items/R2JW6V4U", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1183839, "username": "pschum", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/pschum", "type": "text/html" } } } }, "data": { "key": "CBX6UKS5", "version": 2, "parentItem": "R2JW6V4U", "itemType": "attachment", "linkMode": "linked_url", "title": "EBSCO Record", "accessDate": "2013-07-25T19:06:02Z", "url": "http://search.ebscohost.com/login.aspx?direct=true&db=cin20&AN=2012168660&lang=fr&site=ehost-live&scope=cite", "note": "", "contentType": "text/html", "charset": "", "tags": [], "relations": {}, "dateAdded": "2013-07-25T19:06:02Z", "dateModified": "2013-07-25T19:06:02Z" } }, { "key": "R2JW6V4U", "version": 2, "library": { "type": "group", "id": 189291, "name": "performa_hospit_bdd_cinahl", "links": { "alternate": { "href": "https://www.zotero.org/groups/performa_hospit_bdd_cinahl", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/189291/items/R2JW6V4U", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/performa_hospit_bdd_cinahl/items/R2JW6V4U", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1183839, "username": "pschum", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/pschum", "type": "text/html" } } }, "creatorSummary": "Brown and Wolosin", "parsedDate": "2013", "numChildren": 1 }, "data": { "key": "R2JW6V4U", "version": 2, "itemType": "journalArticle", "title": "Safety Culture Relationships with Hospital Nursing Sensitive Metrics", "creators": [ { "creatorType": "author", "firstName": "Diane", "lastName": "Brown" }, { "creatorType": "author", "firstName": "Robert", "lastName": "Wolosin" } ], "abstractNote": "Public demand for safer care has catapulted the healthcare industry's efforts to understand relationships between patient safety and hospital performance. This study explored linkages between staff perceptions of safety culture (SC) and ongoing measures of hospital nursing unit-based structures, care processes, and adverse patient outcomes. Relationships between nursing-sensitive measures of hospital performance and SC were explored at the unit-level from 9 California hospitals and 37 nursing units. SC perceptions were measured 6 months prior to collection of nursing metrics and relationships between the two sets of data were explored using correlational and regression analyses. Significant relationships were found with reported falls and process measures for fall prevention. Multiple associations were identified with SC and the structure of care delivery: skill mix, staff turnover, and workload intensity demonstrated significant relationships with SC, explaining 22-45% of the variance. SC was an important factor to understand in the quest to advance safe patient care. These findings have affordability and care quality implications for hospital leadership. When senior leaders prioritized a safety culture, patient outcomes may have improved with less staff turnover and more productivity. A business case could be made for investing in patient safety systems to provide reliably safe care.", "publicationTitle": "Journal for Healthcare Quality: Promoting Excellence in Healthcare", "publisher": "", "place": "", "date": "juillet 2013", "volume": "35", "issue": "4", "section": "", "partNumber": "", "partTitle": "", "pages": "61-74", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Journal for Healthcare Quality: Promoting Excellence in Healthcare", "DOI": "10.1111/jhq.12016", "citationKey": "", "url": "", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "1062-2551", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "EBSCOhost", "callNumber": "2012168660", "rights": "", "extra": "", "tags": [ { "tag": "Accidental Falls", "type": 1 }, { "tag": "California", "type": 1 }, { "tag": "Clinical Indicators", "type": 1 }, { "tag": "Correlational Studies", "type": 1 }, { "tag": "Descriptive Statistics", "type": 1 }, { "tag": "Hospital Units", "type": 1 }, { "tag": "Human", "type": 1 }, { "tag": "Multicenter Studies -- California", "type": 1 }, { "tag": "Nurse Attitudes", "type": 1 }, { "tag": "Organizational Culture", "type": 1 }, { "tag": "Outcomes (Health Care)", "type": 1 }, { "tag": "Patient Safety", "type": 1 }, { "tag": "Personnel Turnover", "type": 1 }, { "tag": "Pressure Ulcer", "type": 1 }, { "tag": "Process Assessment (Health Care)", "type": 1 }, { "tag": "Quality of Nursing Care", "type": 1 }, { "tag": "Questionnaires", "type": 1 }, { "tag": "Regression", "type": 1 }, { "tag": "Skill Mix", "type": 1 }, { "tag": "Staff Nurses", "type": 1 }, { "tag": "Workload Measurement", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2013-07-25T19:06:02Z", "dateModified": "2013-07-25T19:06:02Z" } }, { "key": "9MP8VIT2", "version": 2, "library": { "type": "group", "id": 189291, "name": "performa_hospit_bdd_cinahl", "links": { "alternate": { "href": "https://www.zotero.org/groups/performa_hospit_bdd_cinahl", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/189291/items/9MP8VIT2", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/performa_hospit_bdd_cinahl/items/9MP8VIT2", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/189291/items/GWCZGSTX", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1183839, "username": "pschum", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/pschum", "type": "text/html" } } } }, "data": { "key": "9MP8VIT2", "version": 2, "parentItem": "GWCZGSTX", "itemType": "attachment", "linkMode": "linked_url", "title": "EBSCO Record", "accessDate": "2013-07-25T19:05:59Z", "url": "http://search.ebscohost.com/login.aspx?direct=true&db=cin20&AN=2012168505&lang=fr&site=ehost-live&scope=cite", "note": "", "contentType": "text/html", "charset": "", "tags": [], "relations": {}, "dateAdded": "2013-07-25T19:05:59Z", "dateModified": "2013-07-25T19:05:59Z" } }, { "key": "GWCZGSTX", "version": 2, "library": { "type": "group", "id": 189291, "name": "performa_hospit_bdd_cinahl", "links": { "alternate": { "href": "https://www.zotero.org/groups/performa_hospit_bdd_cinahl", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/189291/items/GWCZGSTX", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/performa_hospit_bdd_cinahl/items/GWCZGSTX", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1183839, "username": "pschum", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/pschum", "type": "text/html" } } }, "creatorSummary": "Di Xue et al.", "parsedDate": "2013", "numChildren": 1 }, "data": { "key": "GWCZGSTX", "version": 2, "itemType": "journalArticle", "title": "The association of strategic group and organizational culture with hospital performance in China", "creators": [ { "creatorType": "author", "name": "Di Xue" }, { "creatorType": "author", "name": "Ping Zhou" }, { "creatorType": "author", "firstName": "M.", "lastName": "Bundorf" }, { "creatorType": "author", "firstName": "Huang", "lastName": "Jin Xin" }, { "creatorType": "author", "firstName": "Chang", "lastName": "Ji Le" } ], "abstractNote": "Background: The policy environment in China is rapidly changing. Strategic planning may enable hospitals to respond more effectively to changes in their external environment, little evidence exists on the extent to which public hospitals in China adopt different strategies and the relationship between strategic decision-making and hospital performance. Purposes: The purposes of our study were to determine the extent to which different hospitals adopt different strategies, whether strategies are associated with organizational culture and whether hospital strategies are associated with hospital performance. Methodology: Presidents (or vice presidents), employees, and patients from 87 public hospitals were surveyed during 2009. Measures of strategic group were developed using cluster analysis based on the three dimensions of product position, competitive posture, and market position. Culture was measured using a tool developed by the investigators. Performance was measured based on profitability, patient satisfaction, and employee satisfaction with overall hospital development in the recent 5 years. The association of strategic group and organizational culture with hospital performance was analyzed using multivariate models. Findings: Chinese public general hospitals were classified into five strategic groups that had significant differences in product positioning, competitive posture, and market position. Hospitals of similar types based on regulation adopted different strategies. Organizational culture was not strongly associated with hospital strategic group. Although strategic group was associated with hospital profitability and patient satisfaction in the models with or without control for hospital location, these effects did not persist after controlling for organizational culture, hospital level, and hospital location. Practice Implications: It is important for public hospitals in China to make effective strategic planning and align their organizational culture with the strategies for better execution and therefore better performance. Moreover, the method of hospital strategic grouping in the study provides a new way to analyze management issues within a strategic group and between strategic groups.", "publicationTitle": "Health Care Management Review", "publisher": "", "place": "", "date": "juillet 2013", "volume": "38", "issue": "3", "section": "", "partNumber": "", "partTitle": "", "pages": "258-270", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Health Care Management Review", "DOI": "10.1097/HMR.0b013e3182678f9a", "citationKey": "", "url": "", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "0361-6274", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "EBSCOhost", "callNumber": "2012168505", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2013-07-25T19:05:59Z", "dateModified": "2013-07-25T19:05:59Z" } }, { "key": "R6Z5Q7ZR", "version": 2, "library": { "type": "group", "id": 189291, "name": "performa_hospit_bdd_cinahl", "links": { "alternate": { "href": "https://www.zotero.org/groups/performa_hospit_bdd_cinahl", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/189291/items/R6Z5Q7ZR", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/performa_hospit_bdd_cinahl/items/R6Z5Q7ZR", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/189291/items/2DHRW4U6", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1183839, "username": "pschum", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/pschum", "type": "text/html" } } } }, "data": { "key": "R6Z5Q7ZR", "version": 2, "parentItem": "2DHRW4U6", "itemType": "attachment", "linkMode": "linked_url", "title": "EBSCO Record", "accessDate": "2013-07-25T19:05:31Z", "url": "http://search.ebscohost.com/login.aspx?direct=true&db=cin20&AN=2012178012&lang=fr&site=ehost-live&scope=cite", "note": "", "contentType": "text/html", "charset": "", "tags": [], "relations": {}, "dateAdded": "2013-07-25T19:05:31Z", "dateModified": "2013-07-25T19:05:31Z" } }, { "key": "2DHRW4U6", "version": 2, "library": { "type": "group", "id": 189291, "name": "performa_hospit_bdd_cinahl", "links": { "alternate": { "href": "https://www.zotero.org/groups/performa_hospit_bdd_cinahl", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/189291/items/2DHRW4U6", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/performa_hospit_bdd_cinahl/items/2DHRW4U6", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1183839, "username": "pschum", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/pschum", "type": "text/html" } } }, "creatorSummary": "Dalton et al.", "parsedDate": "2013", "numChildren": 1 }, "data": { "key": "2DHRW4U6", "version": 2, "itemType": "journalArticle", "title": "Impact of present-on-admission indicators on risk-adjusted hospital mortality measurement", "creators": [ { "creatorType": "author", "firstName": "Jarrod", "lastName": "Dalton" }, { "creatorType": "author", "firstName": "Laurent", "lastName": "Glance" }, { "creatorType": "author", "firstName": "Edward", "lastName": "Mascha" }, { "creatorType": "author", "firstName": "John", "lastName": "Ehrlinger" }, { "creatorType": "author", "firstName": "Nassib", "lastName": "Chamoun" }, { "creatorType": "author", "firstName": "Daniel", "lastName": "Sessler" } ], "abstractNote": "BACKGROUND: Benchmarking performance across hospitals requires proper adjustment for differences in baseline patient and procedural risk. Recently, a Risk Stratification Index was developed from Medicare data, which used all diagnosis and procedure codes associated with each stay, but did not distinguish present-on-admission (POA) diagnoses from hospital-acquired diagnoses. We sought to (1) develop and validate a risk index for in-hospital mortality using only POA diagnoses, principal procedures, and secondary procedures occurring before the date of the principal procedure (POARisk) and (2) compare hospital performance metrics obtained using the POARisk model with those obtained using a similarly derived model which ignored the timing of diagnoses and procedures (AllCodeRisk). METHODS: We used the 2004-2009 California State Inpatient Database to develop, calibrate, and prospectively test our models (n = 24 million). Elastic net logistic regression was used to estimate the two risk indices. Agreement in hospital performance under the two respective risk models was assessed by comparing observed-to-expected mortality ratios; acceptable agreement was predefined as the AllCodeRisk-based observed-to-expected ratio within ± 20% of the POARisk-based observed-to-expected ratio for more than 95% of hospitals. RESULTS: After recalibration, goodness of fit (i.e., model calibration) within the 2009 data was excellent for both models. C-statistics were 0.958 and 0.981, respectively, for the POARisk and AllCodeRisk models. The AllCodeRisk-based observed-to-expected ratio was within ± 20% of the POARisk-based observed-to-expected ratio for 89% of hospitals, which was slightly lower than the predefined limit of agreement. CONCLUSION: Consideration of POA coding meaningfully improved hospital performance measurement. The POARisk model should be used for risk adjustment when POA data are available.", "publicationTitle": "Anesthesiology", "publisher": "", "place": "", "date": "juin 2013", "volume": "118", "issue": "6", "section": "", "partNumber": "", "partTitle": "", "pages": "1298-1306", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Anesthesiology", "DOI": "10.1097/ALN.0b013e31828e12b3", "citationKey": "", "url": "", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "0003-3022", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "EBSCOhost", "callNumber": "2012178012", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2013-07-25T19:05:31Z", "dateModified": "2013-07-25T19:05:31Z" } } ]