Jeffrey H Silber1, Paul R Rosenbaum2, Matthew D McHugh3, Justin M Ludwig4, Herbert L Smith5, Bijan A Niknam4, Orit Even-Shoshan6, Lee A Fleisher7, Rachel R Kelz8, Linda H Aiken9. 1. Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia2Department of Health Care Management, Wharton School, University of Pennsylvania, Philadelphia3Leonard Davis Institute of Health Economics, University of Penns. 2. Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia7Department of Statistics, Wharton School, University of Pennsylvania, Philadelphia. 3. Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia4Center for Health Outcomes and Policy Research, University of Pennsylvania, Philadelphia8School of Nursing, University of Pennsylvania, Philadelphia. 4. Center for Outcomes Research, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania. 5. Center for Health Outcomes and Policy Research, University of Pennsylvania, Philadelphia9Population Studies Center, University of Pennsylvania, Philadelphia10Department of Sociology, School of Arts and Sciences, University of Pennsylvania, Philadelphia. 6. Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia5Center for Outcomes Research, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania. 7. Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia6Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia. 8. Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia11Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia. 9. Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia4Center for Health Outcomes and Policy Research, University of Pennsylvania, Philadelphia8School of Nursing, University of Pennsylvania, Philadelphia9Population Studies C.
Abstract
IMPORTANCE: The literature suggests that hospitals with better nursing work environments provide better quality of care. Less is known about value (cost vs quality). OBJECTIVES: To test whether hospitals with better nursing work environments displayed better value than those with worse nursing environments and to determine patient risk groups associated with the greatest value. DESIGN, SETTING, AND PARTICIPANTS: A retrospective matched-cohort design, comparing the outcomes and cost of patients at focal hospitals recognized nationally as having good nurse working environments and nurse-to-bed ratios of 1 or greater with patients at control group hospitals without such recognition and with nurse-to-bed ratios less than 1. This study included 25 752 elderly Medicare general surgery patients treated at focal hospitals and 62 882 patients treated at control hospitals during 2004-2006 in Illinois, New York, and Texas. The study was conducted between January 1, 2004, and November 30, 2006; this analysis was conducted from April to August 2015. EXPOSURES: Focal vs control hospitals (better vs worse nursing environment). MAIN OUTCOMES AND MEASURES: Thirty-day mortality and costs reflecting resource utilization. RESULTS: This study was conducted at 35 focal hospitals (mean nurse-to-bed ratio, 1.51) and 293 control hospitals (mean nurse-to-bed ratio, 0.69). Focal hospitals were larger and more teaching and technology intensive than control hospitals. Thirty-day mortality in focal hospitals was 4.8% vs 5.8% in control hospitals (P < .001), while the cost per patient was similar: the focal-control was -$163 (95% CI = -$542 to $215; P = .40), suggesting better value in the focal group. For the focal vs control hospitals, the greatest mortality benefit (17.3% vs 19.9%; P < .001) occurred in patients in the highest risk quintile, with a nonsignificant cost difference of $941 per patient ($53 701 vs $52 760; P = .25). The greatest difference in value between focal and control hospitals appeared in patients in the second-highest risk quintile, with mortality of 4.2% vs 5.8% (P < .001), with a nonsignificant cost difference of -$862 ($33 513 vs $34 375; P = .12). CONCLUSIONS AND RELEVANCE: Hospitals with better nursing environments and above-average staffing levels were associated with better value (lower mortality with similar costs) compared with hospitals without nursing environment recognition and with below-average staffing, especially for higher-risk patients. These results do not suggest that improving any specific hospital's nursing environment will necessarily improve its value, but they do show that patients undergoing general surgery at hospitals with better nursing environments generally receive care of higher value.
IMPORTANCE: The literature suggests that hospitals with better nursing work environments provide better quality of care. Less is known about value (cost vs quality). OBJECTIVES: To test whether hospitals with better nursing work environments displayed better value than those with worse nursing environments and to determine patient risk groups associated with the greatest value. DESIGN, SETTING, AND PARTICIPANTS: A retrospective matched-cohort design, comparing the outcomes and cost of patients at focal hospitals recognized nationally as having good nurse working environments and nurse-to-bed ratios of 1 or greater with patients at control group hospitals without such recognition and with nurse-to-bed ratios less than 1. This study included 25 752 elderly Medicare general surgery patients treated at focal hospitals and 62 882 patients treated at control hospitals during 2004-2006 in Illinois, New York, and Texas. The study was conducted between January 1, 2004, and November 30, 2006; this analysis was conducted from April to August 2015. EXPOSURES: Focal vs control hospitals (better vs worse nursing environment). MAIN OUTCOMES AND MEASURES: Thirty-day mortality and costs reflecting resource utilization. RESULTS: This study was conducted at 35 focal hospitals (mean nurse-to-bed ratio, 1.51) and 293 control hospitals (mean nurse-to-bed ratio, 0.69). Focal hospitals were larger and more teaching and technology intensive than control hospitals. Thirty-day mortality in focal hospitals was 4.8% vs 5.8% in control hospitals (P < .001), while the cost per patient was similar: the focal-control was -$163 (95% CI = -$542 to $215; P = .40), suggesting better value in the focal group. For the focal vs control hospitals, the greatest mortality benefit (17.3% vs 19.9%; P < .001) occurred in patients in the highest risk quintile, with a nonsignificant cost difference of $941 per patient ($53 701 vs $52 760; P = .25). The greatest difference in value between focal and control hospitals appeared in patients in the second-highest risk quintile, with mortality of 4.2% vs 5.8% (P < .001), with a nonsignificant cost difference of -$862 ($33 513 vs $34 375; P = .12). CONCLUSIONS AND RELEVANCE: Hospitals with better nursing environments and above-average staffing levels were associated with better value (lower mortality with similar costs) compared with hospitals without nursing environment recognition and with below-average staffing, especially for higher-risk patients. These results do not suggest that improving any specific hospital's nursing environment will necessarily improve its value, but they do show that patients undergoing general surgery at hospitals with better nursing environments generally receive care of higher value.
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Authors: Neel Koyawala; Jeffrey H Silber; Paul R Rosenbaum; Wei Wang; Alexander S Hill; Joseph G Reiter; Bijan A Niknam; Orit Even-Shoshan; Roy D Bloom; Deirdre Sawinski; Susanna Nazarian; Jennifer Trofe-Clark; Mary Ann Lim; Jesse D Schold; Peter P Reese Journal: J Am Soc Nephrol Date: 2017-03-20 Impact factor: 10.121
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