Ronald C Samuels1, Valerie L Ward2, Patrice Melvin3, Michael Macht-Greenberg4, Larissa M Wenren3, Jessica Yi5, Gordon Massey3, Joanne E Cox2. 1. Boston Children's Hospital, Boston, MA, USA Harvard Medical School, Boston, MA, USA Ronald.Samuels@childrens.harvard.edu. 2. Boston Children's Hospital, Boston, MA, USA Harvard Medical School, Boston, MA, USA. 3. Boston Children's Hospital, Boston, MA, USA. 4. Lahey Hospital and Medical Center, Burlington, MA, USA. 5. Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Abstract
BACKGROUND: Missed appointments complicate primary care services. OBJECTIVE: To determine factors associated with missed pediatric appointments. DESIGN/ METHODS: A convenience sample of 1537 patients who missed appointments were called and 386 (25%) families completed the 26-item survey. Those with high no-show rates were compared with the rest using χ(2) and Fisher's exact tests. Initial covariates with P < .2 were included in a multivariate logistic regression model. RESULTS: Common reasons for missing appointments were the following: forgot (27%), transportation problems (21%), and time off of work (14%). The high no-show group had more African Americans (P = .030) and older patients (P = .003). Higher no-show rates correlated with well child visits (P = .029) and perception of "excellent health" (P = .022). In the logistic regression model, well child appointments (odds ratio = 2.56) and increasing age in years (odds ratio = 1.11) were associated with higher no-show rates. CONCLUSIONS: Efforts to decrease no-show rates should target older patients and well child visits.
BACKGROUND: Missed appointments complicate primary care services. OBJECTIVE: To determine factors associated with missed pediatric appointments. DESIGN/ METHODS: A convenience sample of 1537 patients who missed appointments were called and 386 (25%) families completed the 26-item survey. Those with high no-show rates were compared with the rest using χ(2) and Fisher's exact tests. Initial covariates with P < .2 were included in a multivariate logistic regression model. RESULTS: Common reasons for missing appointments were the following: forgot (27%), transportation problems (21%), and time off of work (14%). The high no-show group had more African Americans (P = .030) and older patients (P = .003). Higher no-show rates correlated with well child visits (P = .029) and perception of "excellent health" (P = .022). In the logistic regression model, well child appointments (odds ratio = 2.56) and increasing age in years (odds ratio = 1.11) were associated with higher no-show rates. CONCLUSIONS: Efforts to decrease no-show rates should target older patients and well child visits.
Authors: David J Wallace; Kristin N Ray; Abbye Degan; Kristen Kurland; Derek C Angus; Ana Malinow Journal: BMJ Qual Saf Date: 2017-11-24 Impact factor: 7.035
Authors: Sarah P Justvig; Justine Li; Giuseppina Caravella; Minqin Chen; Hua Wang; Lisa A Benz Scott; Susmita Pati Journal: J Community Health Date: 2017-06
Authors: Lena E Winestone; Kelly D Getz; Tamara P Miller; Jennifer J Wilkes; Leah Sack; Yimei Li; Yuan-Shung Huang; Alix E Seif; Rochelle Bagatell; Brian T Fisher; Andrew J Epstein; Richard Aplenc Journal: Am J Hematol Date: 2016-12-07 Impact factor: 10.047