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Bourgeois FC, Hart NJ, Dong Z, Ngo LH, DesRoches CM, Thomas EJ, Bell SK. Partnering with Patients and Families to Improve Diagnostic Safety through the OurDX Tool: Effects of Race, Ethnicity, and Language Preference. Appl Clin Inform 2023; 14:903-912. [PMID: 37967936 PMCID: PMC10651368 DOI: 10.1055/s-0043-1776055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 07/24/2023] [Indexed: 11/17/2023] Open
Abstract
BACKGROUND Patients and families at risk for health disparities may also be at higher risk for diagnostic errors but less likely to report them. OBJECTIVES This study aimed to explore differences in race, ethnicity, and language preference associated with patient and family contributions and concerns using an electronic previsit tool designed to engage patients and families in the diagnostic process (DxP). METHODS Cross-sectional study of 5,731 patients and families presenting to three subspecialty clinics at an urban pediatric hospital May to December 2021 who completed a previsit tool, codeveloped and tested with patients and families. Prior to each visit, patients/families were invited to share visit priorities, recent histories, and potential diagnostic concerns. We used logistic regression to determine factors associated with patient-reported diagnostic concerns. We conducted chart review on a random subset of visits to review concerns and determine whether patient/family contributions were included in the visit note. RESULTS Participants provided a similar mean number of contributions regardless of patient race, ethnicity, or language preference. Compared with patients self-identifying as White, those self-identifying as Black (odds ratio [OR]: 1.70; 95% confidence interval [CI]: [1.18, 2.43]) or "other" race (OR: 1.48; 95% CI: [1.08, 2.03]) were more likely to report a diagnostic concern. Participants who preferred a language other than English were more likely to report a diagnostic concern than English-preferring patients (OR: 2.53; 95% CI: [1.78, 3.59]. There were no significant differences in physician-verified diagnostic concerns or in integration of patient contributions into the note based on race, ethnicity, or language preference. CONCLUSION Participants self-identifying as Black or "other" race, or those who prefer a language other than English were 1.5 to 2.5 times more likely than their counterparts to report potential diagnostic concerns when proactively asked to provide this information prior to a visit. Actively engaging patients and families in the DxP may uncover opportunities to reduce the risk of diagnostic errors and potential safety disparities.
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Affiliation(s)
- Fabienne C. Bourgeois
- Department of Pediatrics, Boston Children's Hospital, Boston, Massachusetts, United States
- Harvard Medical School, Boston, Massachusetts, United States
| | - Nicholas J. Hart
- Department of Pediatrics, Boston Children's Hospital, Boston, Massachusetts, United States
| | - Zhiyong Dong
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States
| | - Long H. Ngo
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States
| | - Catherine M. DesRoches
- Harvard Medical School, Boston, Massachusetts, United States
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States
| | - Eric J. Thomas
- Department of Medicine, University of Texas at Houston Memorial Hermann Center for Healthcare Quality and Safety, Houston, Texas, United States
- McGovern Medical School at the University of Texas Health Science Center Houston, Houston, Texas, United States
| | - Sigall K. Bell
- Harvard Medical School, Boston, Massachusetts, United States
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States
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Markham JL, Richardson T, Stephens JR, Gay JC, Hall M. Essential Concepts for Reducing Bias in Observational Studies. Hosp Pediatr 2023; 13:e234-e239. [PMID: 37416975 PMCID: PMC10527895 DOI: 10.1542/hpeds.2023-007116] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/08/2023]
Abstract
Randomized controlled trials (RCTs) are the gold standard study design for clinical research, as prospective randomization, at least in theory, balances any differences that can exist between groups (including any differences not measured as part of the study) and isolates the studied treatment effect. Any remaining imbalances after randomization are attributable to chance. However, there are many barriers to conducting RCTs within pediatric populations, including lower disease prevalence, high costs, inadequate funding, and additional regulatory requirements. Researchers thus frequently use observational study designs to address many research questions. Observational studies, whether prospective or retrospective, do not involve randomization and thus have more potential for bias when compared with RCTs because of imbalances that can exist between comparison groups. If these imbalances are associated with both the exposure of interest and the outcome, then failure to account for these imbalances may result in a biased conclusion. Understanding and addressing differences in sociodemographic and/or clinical characteristics within observational studies are thus necessary to reduce bias. Within this Method/ology submission we describe techniques to minimize bias by controlling for important measurable covariates within observational studies and discuss the challenges and opportunities in addressing specific variables.
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Affiliation(s)
- Jessica L. Markham
- Department of Pediatrics, Children’s Mercy Kansas City, University of Missouri Kansas City, Kansas City, Missouri
- Department of Pediatrics, The University of Kansas, Kansas City, Kansas
| | | | - John R. Stephens
- Department of Medicine, North Carolina Children’s Hospital, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - James C. Gay
- Department of Pediatrics, Vanderbilt University School of Medicine, Monroe Carrell, Jr. Children’s Hospital at Vanderbilt, Nashville, Tennessee
| | - Matt Hall
- Department of Pediatrics, Children’s Mercy Kansas City, University of Missouri Kansas City, Kansas City, Missouri
- Children’s Hospital Association, Lenexa, Kansas
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Bell SK, Dong ZJ, Desroches CM, Hart N, Liu S, Mahon B, Ngo LH, Thomas EJ, Bourgeois F. Partnering with patients and families living with chronic conditions to coproduce diagnostic safety through OurDX: a previsit online engagement tool. J Am Med Inform Assoc 2023; 30:692-702. [PMID: 36692204 PMCID: PMC10018262 DOI: 10.1093/jamia/ocad003] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 12/27/2022] [Accepted: 01/10/2023] [Indexed: 01/25/2023] Open
Abstract
OBJECTIVE Patients and families are key partners in diagnosis, but methods to routinely engage them in diagnostic safety are lacking. Policy mandating patient access to electronic health information presents new opportunities. We tested a new online tool ("OurDX") that was codesigned with patients and families, to determine the types and frequencies of potential safety issues identified by patients/families with chronic health conditions and whether their contributions were integrated into the visit note. METHODS Patients/families at 2 US healthcare sites were invited to contribute, through an online previsit survey: (1) visit priorities, (2) recent medical history/symptoms, and (3) potential diagnostic concerns. Two physicians reviewed patient-reported diagnostic concerns to verify and categorize diagnostic safety opportunities (DSOs). We conducted a chart review to determine whether patient contributions were integrated into the note. We used descriptive statistics to report implementation outcomes, verification of DSOs, and chart review findings. RESULTS Participants completed OurDX reports in 7075 of 18 129 (39%) eligible pediatric subspecialty visits (site 1), and 460 of 706 (65%) eligible adult primary care visits (site 2). Among patients reporting diagnostic concerns, 63% were verified as probable DSOs. In total, probable DSOs were identified by 7.5% of pediatric and adult patients/families with underlying health conditions, respectively. The most common types of DSOs were patients/families not feeling heard; problems/delays with tests or referrals; and problems/delays with explanation or next steps. In chart review, most clinician notes included all or some patient/family priorities and patient-reported histories. CONCLUSIONS OurDX can help engage patients and families living with chronic health conditions in diagnosis. Participating patients/families identified DSOs and most of their OurDX contributions were included in the visit note.
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Affiliation(s)
- Sigall K Bell
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Zhiyong J Dong
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Catherine M Desroches
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Nicholas Hart
- Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Stephen Liu
- Department of Medicine, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA
| | - Brianna Mahon
- Department of Medicine, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA
| | - Long H Ngo
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Eric J Thomas
- Department of Medicine, UT Houston—Memorial Hermann Center for Healthcare Quality and Safety, Houston, Texas, USA
- McGovern Medical School at the University of Texas Health Science Center, Houston, Texas, USA
| | - Fabienne Bourgeois
- Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
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Rogerson C, Hall M. Methodological progress note: Machine learning methods in healthcare research. J Hosp Med 2023; 18:431-434. [PMID: 36911977 DOI: 10.1002/jhm.13078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 02/28/2023] [Accepted: 03/02/2023] [Indexed: 03/14/2023]
Affiliation(s)
- Colin Rogerson
- Department of Pediatrics, Division of Critical Care, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Matt Hall
- Children's Hospital Association, Lenexa, Kansas, USA
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Mead M, Ibrahim AM. Strategies to evaluate the quality of hospital design with clinical data. J Hosp Med 2022. [PMID: 36341481 DOI: 10.1002/jhm.12987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 10/07/2022] [Accepted: 10/08/2022] [Indexed: 11/09/2022]
Affiliation(s)
- Mitchell Mead
- Center for Healthcare Outcomes and Policy, Ann Arbor, Michigan, USA
- Department of Surgery, University of Michigan, Ann Arbor, Michigan, USA
- Taubman College of Architecture and Urban Planning at University of Michigan, Ann Arbor, Michigan, USA
| | - Andrew M Ibrahim
- Center for Healthcare Outcomes and Policy, Ann Arbor, Michigan, USA
- Department of Surgery, University of Michigan, Ann Arbor, Michigan, USA
- Taubman College of Architecture and Urban Planning at University of Michigan, Ann Arbor, Michigan, USA
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