Miriam O Ezenwa1, Robert E Molokie2, Zaijie Jim Wang3, Yingwei Yao4, Marie L Suarez4, Veronica Angulo4, Diana J Wilkie5. 1. Department of Biobehavioral Health Science, University of Illinois at Chicago College of Nursing, Chicago, Illinois, USA; Comprehensive Sickle Cell Center, University of Illinois Hospital & Health Sciences System, Chicago, Illinois, USA. 2. Comprehensive Sickle Cell Center, University of Illinois Hospital & Health Sciences System, Chicago, Illinois, USA; Division of Hematology/Oncology, Department of Medicine, University of Illinois at Chicago College of Medicine, Chicago, Illinois, USA; Department of Biopharmaceutical Sciences, University of Illinois at Chicago College of Pharmacy, Jesse Brown VA Medical Center, Chicago, Illinois, USA. 3. Department of Biopharmaceutical Sciences, University of Illinois at Chicago College of Pharmacy, Jesse Brown VA Medical Center, Chicago, Illinois, USA. 4. Department of Biobehavioral Health Science, University of Illinois at Chicago College of Nursing, Chicago, Illinois, USA. 5. Department of Biobehavioral Health Science, University of Illinois at Chicago College of Nursing, Chicago, Illinois, USA. Electronic address: diwilkie@uic.edu.
Abstract
CONTEXT: Patient demographic and clinical factors have known associations with acute health care utilization (AHCU) among patients with sickle cell disease (SCD), but it is unknown if pain measured predominantly in an outpatient setting is a predictor of future AHCU in patients with SCD. OBJECTIVES: To determine whether multidimensional pain scores obtained predominantly in an outpatient setting predicted subsequent 1-year AHCU by 137 adults with SCD and whether the pain measured at a second visit also predicted AHCU. METHODS: Pain data included the Composite Pain Index (CPI), a single score representative of a multidimensional pain experience (number of pain sites, intensity, quality, and pattern). Based on the distribution of AHCU events, we divided patients into three groups: 1) zero events (zero), 2) 1 to 3 events (low), or 3) 4 to 23 events (high). RESULTS: The initial CPI scores differed significantly by the three groups (F(2,134) = 7.38, P = 0.001). Post hoc comparisons showed that the zero group had lower CPI scores than both the low (P < 0.01) and high (P < 0.001) groups. In multivariate overdispersed Poisson regression analyses, age and CPI scores (at both measurement times) were statistically significant predictors of utilization events. Pain intensity scores at both measurement times were significant predictors of utilization, but other pain scores (number of pain sites, quality, and pattern) were not. CONCLUSION: Findings support use of outpatient CPI scores or pain intensity and age to identify at-risk young adults with SCD who are likely to benefit from improved outpatient pain management plans.
CONTEXT: Patient demographic and clinical factors have known associations with acute health care utilization (AHCU) among patients with sickle cell disease (SCD), but it is unknown if pain measured predominantly in an outpatient setting is a predictor of future AHCU in patients with SCD. OBJECTIVES: To determine whether multidimensional pain scores obtained predominantly in an outpatient setting predicted subsequent 1-year AHCU by 137 adults with SCD and whether the pain measured at a second visit also predicted AHCU. METHODS:Pain data included the Composite Pain Index (CPI), a single score representative of a multidimensional pain experience (number of pain sites, intensity, quality, and pattern). Based on the distribution of AHCU events, we divided patients into three groups: 1) zero events (zero), 2) 1 to 3 events (low), or 3) 4 to 23 events (high). RESULTS: The initial CPI scores differed significantly by the three groups (F(2,134) = 7.38, P = 0.001). Post hoc comparisons showed that the zero group had lower CPI scores than both the low (P < 0.01) and high (P < 0.001) groups. In multivariate overdispersed Poisson regression analyses, age and CPI scores (at both measurement times) were statistically significant predictors of utilization events. Pain intensity scores at both measurement times were significant predictors of utilization, but other pain scores (number of pain sites, quality, and pattern) were not. CONCLUSION: Findings support use of outpatientCPI scores or pain intensity and age to identify at-risk young adults with SCD who are likely to benefit from improved outpatientpain management plans.
Authors: Hussain R Yusuf; Hani K Atrash; Scott D Grosse; Christopher S Parker; Althea M Grant Journal: Am J Prev Med Date: 2010-04 Impact factor: 5.043
Authors: Diana J Wilkie; Robert Molokie; Debra Boyd-Seal; Marie L Suarez; Young Ok Kim; Shiping Zong; Harriet Wittert; Zhongsheng Zhao; Yogen Saunthararajah; Zaijie J Wang Journal: J Natl Med Assoc Date: 2010-01 Impact factor: 1.798
Authors: Diana J Wilkie; M Kay M Judge; Donna L Berry; Jean Dell; Shiping Zong; Rudy Gilespie Journal: J Pain Symptom Manage Date: 2003-03 Impact factor: 3.612
Authors: Hsiu-Ying Huang; Diana J Wilkie; Shi-Ping Sam Zong; Donna Berry; Daniela Hairabedian; M Kay Judge; Stuart Farber; Charles Chabal Journal: Comput Inform Nurs Date: 2003 Jul-Aug Impact factor: 1.985
Authors: Wally R Smith; Lynne T Penberthy; Viktor E Bovbjerg; Donna K McClish; John D Roberts; Bassam Dahman; Imoigele P Aisiku; James L Levenson; Susan D Roseff Journal: Ann Intern Med Date: 2008-01-15 Impact factor: 25.391
Authors: Deepika S Darbari; Johnson P Hampson; Eric Ichesco; Nadja Kadom; Gilbert Vezina; Iordanis Evangelou; Daniel J Clauw; James G Taylor Vi; Richard E Harris Journal: J Pain Date: 2015-08-18 Impact factor: 5.820
Authors: Brenda W Dyal; Miriam O Ezenwa; Yingwei Yao; Robert E Molokie; Zaijie J Wang; Samir K Ballas; Marie L Suarez; Diana J Wilkie Journal: Patient Educ Couns Date: 2019-08-17
Authors: Tiffany Yu; Timothy Campbell; Isabella Ciuffetelli; Carlton Haywood; Christopher Patrick Carroll; Linda Resar; John J Strouse; Sophie Lanzkron Journal: South Med J Date: 2016-09 Impact factor: 0.954
Authors: Ann T Farrell; Julie Panepinto; C Patrick Carroll; Deepika S Darbari; Ankit A Desai; Allison A King; Robert J Adams; Tabitha D Barber; Amanda M Brandow; Michael R DeBaun; Manus J Donahue; Kalpna Gupta; Jane S Hankins; Michelle Kameka; Fenella J Kirkham; Harvey Luksenburg; Shirley Miller; Patricia Ann Oneal; David C Rees; Rosanna Setse; Vivien A Sheehan; John Strouse; Cheryl L Stucky; Ellen M Werner; John C Wood; William T Zempsky Journal: Blood Adv Date: 2019-12-10
Authors: Miriam O Ezenwa; Robert E Molokie; Zaijie Jim Wang; Marie L Suarez; Yingwei Yao; Diana J Wilkie Journal: J Adv Nurs Date: 2015-04-27 Impact factor: 3.187