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Wilson AM, Lundgren KB, Schierman B, Mante A, Lien A, Benish SM, Esper GJ, Nair KV, Ney JP. Examining the National Representativeness of the Axon Registry: A Neurology-Specific Patient Registry. Neurology 2023; 101:e1167-e1177. [PMID: 37487753 PMCID: PMC10513878 DOI: 10.1212/wnl.0000000000207601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 05/15/2023] [Indexed: 07/26/2023] Open
Abstract
BACKGROUND AND OBJECTIVES The objective of this study was to determine the external validity of the Axon Registry by comparing the 2019 calendar year data with 2 nationally representative, publicly available data sources, specifically the National Ambulatory Medical Care Survey (NAMCS) and the Medical Expenditure Panel Survey (MEPS). The Axon Registry is the American Academy of Neurology's neurology-focused qualified clinical data registry that reports and analyzes electronic health record data from participating US neurology providers. Its key function is to support quality improvement within ambulatory neurology practices while also promoting high-quality evidence-based care in clinical neurology. We compared demographics of patients who had an outpatient or office visit with a neurologist along with prevalence of selected neurologic conditions and neurologic procedures across the 3 data sets. METHODS We performed a cross-sectional, retrospective comparison of 3 data sets: NAMCS (2012-2016), MEPS (2013-2017, 2019), and Axon Registry (2019). We obtained patient demographics (age, birth sex, race, ethnicity), patient neurologic conditions (headache, epilepsy, cerebrovascular disease, multiple sclerosis, parkinsonism, dementia, spinal pain, and polyneuropathy), provider location, and neurologic procedures (neurology visits, MR/CT neuroimaging studies and EEG/EMG neurophysiologic studies). Parameter estimates from the pooled 5-year samples of the 2 public data sets, calculated at the visit level, were compared descriptively with those of the Axon Registry. We calculated Cohen h and performed Wald tests (α = 0.05) to conduct person-level statistical comparisons between MEPS 2019 and Axon Registry 2019 data. RESULTS The Axon Registry recorded 1.3 M annual neurology visits (NAMCS, 11 M; MEPS, 22 M) and 645 K people with neurologic conditions (MEPS, 10 M). Compared with the pooled national surveys, the Axon Registry has similar patient demographics, neurologic condition prevalence, neuroimaging and neurophysiologic utilization, and provider location. In direct comparison with MEPS 2019, the Axon Registry 2019 had fewer children (2% vs 7%), more elderly persons (21% vs 16%), fewer non-Black and non-White race persons (5% vs 8%), less number of patients with epilepsy (10% vs 13%), more patients with dementia (8% vs 6%), more patients with cerebrovascular disease (11% vs 8%), and a greater predominance of neurology providers in the Midwest (25% vs 20%). The only difference with a non-negligible effect size was the proportion of people younger than 15 years (Cohen h = 0.25). DISCUSSION The Axon Registry demonstrates high concordance with 2 nationally representative surveys. Recruiting more and diverse neurology providers will further improve the volume, representativeness, and value of the Axon Registry.
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Affiliation(s)
- Andrew M Wilson
- From the Department of Neurology (A.M.W.), University of California, Los Angeles; Department of Neurology (A.M.W.), Greater Los Angeles Healthcare System, Los Angeles, CA; American Academy of Neurology (K.B.L., B.S., A.M.), Minneapolis, MN; Verana Health (A.L.), San Francisco, CA; Department of Neurology (S.M.B.), University of Minnesota, Minneapolis; Department of Neurology (G.J.E.), Emory University, Atlanta, GA; Department of Neurology (K.V.N.), University of Colorado, Denver; and Department of Neurology (J.P.N.), Edith Nourse Rogers VA Medical Center, Bedford, MA.
| | - Karen B Lundgren
- From the Department of Neurology (A.M.W.), University of California, Los Angeles; Department of Neurology (A.M.W.), Greater Los Angeles Healthcare System, Los Angeles, CA; American Academy of Neurology (K.B.L., B.S., A.M.), Minneapolis, MN; Verana Health (A.L.), San Francisco, CA; Department of Neurology (S.M.B.), University of Minnesota, Minneapolis; Department of Neurology (G.J.E.), Emory University, Atlanta, GA; Department of Neurology (K.V.N.), University of Colorado, Denver; and Department of Neurology (J.P.N.), Edith Nourse Rogers VA Medical Center, Bedford, MA
| | - Becky Schierman
- From the Department of Neurology (A.M.W.), University of California, Los Angeles; Department of Neurology (A.M.W.), Greater Los Angeles Healthcare System, Los Angeles, CA; American Academy of Neurology (K.B.L., B.S., A.M.), Minneapolis, MN; Verana Health (A.L.), San Francisco, CA; Department of Neurology (S.M.B.), University of Minnesota, Minneapolis; Department of Neurology (G.J.E.), Emory University, Atlanta, GA; Department of Neurology (K.V.N.), University of Colorado, Denver; and Department of Neurology (J.P.N.), Edith Nourse Rogers VA Medical Center, Bedford, MA
| | - Aristotle Mante
- From the Department of Neurology (A.M.W.), University of California, Los Angeles; Department of Neurology (A.M.W.), Greater Los Angeles Healthcare System, Los Angeles, CA; American Academy of Neurology (K.B.L., B.S., A.M.), Minneapolis, MN; Verana Health (A.L.), San Francisco, CA; Department of Neurology (S.M.B.), University of Minnesota, Minneapolis; Department of Neurology (G.J.E.), Emory University, Atlanta, GA; Department of Neurology (K.V.N.), University of Colorado, Denver; and Department of Neurology (J.P.N.), Edith Nourse Rogers VA Medical Center, Bedford, MA
| | - Amanda Lien
- From the Department of Neurology (A.M.W.), University of California, Los Angeles; Department of Neurology (A.M.W.), Greater Los Angeles Healthcare System, Los Angeles, CA; American Academy of Neurology (K.B.L., B.S., A.M.), Minneapolis, MN; Verana Health (A.L.), San Francisco, CA; Department of Neurology (S.M.B.), University of Minnesota, Minneapolis; Department of Neurology (G.J.E.), Emory University, Atlanta, GA; Department of Neurology (K.V.N.), University of Colorado, Denver; and Department of Neurology (J.P.N.), Edith Nourse Rogers VA Medical Center, Bedford, MA
| | - Sarah M Benish
- From the Department of Neurology (A.M.W.), University of California, Los Angeles; Department of Neurology (A.M.W.), Greater Los Angeles Healthcare System, Los Angeles, CA; American Academy of Neurology (K.B.L., B.S., A.M.), Minneapolis, MN; Verana Health (A.L.), San Francisco, CA; Department of Neurology (S.M.B.), University of Minnesota, Minneapolis; Department of Neurology (G.J.E.), Emory University, Atlanta, GA; Department of Neurology (K.V.N.), University of Colorado, Denver; and Department of Neurology (J.P.N.), Edith Nourse Rogers VA Medical Center, Bedford, MA
| | - Gregory J Esper
- From the Department of Neurology (A.M.W.), University of California, Los Angeles; Department of Neurology (A.M.W.), Greater Los Angeles Healthcare System, Los Angeles, CA; American Academy of Neurology (K.B.L., B.S., A.M.), Minneapolis, MN; Verana Health (A.L.), San Francisco, CA; Department of Neurology (S.M.B.), University of Minnesota, Minneapolis; Department of Neurology (G.J.E.), Emory University, Atlanta, GA; Department of Neurology (K.V.N.), University of Colorado, Denver; and Department of Neurology (J.P.N.), Edith Nourse Rogers VA Medical Center, Bedford, MA
| | - Kavita V Nair
- From the Department of Neurology (A.M.W.), University of California, Los Angeles; Department of Neurology (A.M.W.), Greater Los Angeles Healthcare System, Los Angeles, CA; American Academy of Neurology (K.B.L., B.S., A.M.), Minneapolis, MN; Verana Health (A.L.), San Francisco, CA; Department of Neurology (S.M.B.), University of Minnesota, Minneapolis; Department of Neurology (G.J.E.), Emory University, Atlanta, GA; Department of Neurology (K.V.N.), University of Colorado, Denver; and Department of Neurology (J.P.N.), Edith Nourse Rogers VA Medical Center, Bedford, MA
| | - John P Ney
- From the Department of Neurology (A.M.W.), University of California, Los Angeles; Department of Neurology (A.M.W.), Greater Los Angeles Healthcare System, Los Angeles, CA; American Academy of Neurology (K.B.L., B.S., A.M.), Minneapolis, MN; Verana Health (A.L.), San Francisco, CA; Department of Neurology (S.M.B.), University of Minnesota, Minneapolis; Department of Neurology (G.J.E.), Emory University, Atlanta, GA; Department of Neurology (K.V.N.), University of Colorado, Denver; and Department of Neurology (J.P.N.), Edith Nourse Rogers VA Medical Center, Bedford, MA
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Balbale SN, Cho M, Raval MV, Close SM. Role of patient and family engagement in quality improvement for pediatric surgery. Semin Pediatr Surg 2023; 32:151281. [PMID: 37094531 DOI: 10.1016/j.sempedsurg.2023.151281] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2023]
Abstract
In recent decades, the role of quality improvement (QI) in pediatric surgery has grown substantially. Patient and family engagement can help to maximize the impact of QI by enhancing safety and patient outcomes. Yet, broader, systematic efforts to actively involve patients and families in QI initiatives remain a persistent gap in pediatric surgery. To address this gap, we propose an agenda centered on three key goals for future quality improvement efforts: (1) building partnerships with patients and their families; (2) expanding the use of patient-reported outcomes (PROs) and novel, cross-disciplinary research methods; and (3) engaging patients and families consistently across all stages of pediatric surgical care. Fulfilling this agenda will be essential in shifting our mindset to view QI as a collective that involves patients, families, clinicians, and payers in continuous, system-wide opportunities to evaluate and improve care. Actively listening to and collaborating with patients and families may also help renew our focus on narrowing the gap between current practice and the best possible practice for children undergoing surgery.
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Affiliation(s)
- Salva N Balbale
- Division of Gastroenterology and Hepatology, Department of Medicine; Department of Medical Social Sciences; Northwestern Quality Improvement, Research, & Education in Surgery (NQUIRES), Department of Surgery; & Center for Health Services and Outcomes Research, Institute of Public Health and Medicine (IPHAM), Northwestern University Feinberg School of Medicine, Chicago, IL; Center of Innovation for Complex Chronic Healthcare, Health Services Research & Development, Edward Hines, Jr. VA Hospital, Hines, IL.
| | | | - Mehul V Raval
- Division of Pediatric Surgery, Department of Surgery, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Sharron M Close
- Department of Pediatric Advanced Practice Nursing, Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA
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Greenleaf EK, Winder JS, Hollenbeak CS, Haluck RS, Mathew A, Pauli EM. Cost-effectiveness of per oral endoscopic myotomy relative to laparoscopic Heller myotomy for the treatment of achalasia. Surg Endosc 2017; 32:39-45. [PMID: 29218664 DOI: 10.1007/s00464-017-5629-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Accepted: 05/26/2017] [Indexed: 12/21/2022]
Abstract
BACKGROUND Per oral endoscopic myotomy (POEM) has recently emerged as a viable option relative to the classic approach of laparoscopic Heller myotomy (LHM) for the treatment of esophageal achalasia. In this cost-utility analysis of POEM and LHM, we hypothesized that POEM would be cost-effective relative to LHM. METHODS A stochastic cost-utility analysis of treatment for achalasia was performed to determine the cost-effectiveness of POEM relative to LHM. Costs were estimated from the provider perspective and obtained from our institution's cost-accounting database. The measure of effectiveness was quality-adjusted life years (QALYs) which were estimated from direct elicitation of utility using a visual analog scale. The primary outcome was the incremental cost-effectiveness ratio (ICER). Uncertainty was assessed by bootstrapping the sample and computing the cost-effectiveness acceptability curve (CEAC). RESULTS Patients treated within an 11-year period (2004-2016) were recruited for participation (20 POEM, 21 LHM). During the index admission, the mean costs for POEM ($8630 ± $2653) and the mean costs for LHM ($7604 ± $2091) were not significantly different (P = 0.179). Additionally, mean QALYs for POEM (0.413 ± 0.248) were higher than that associated with LHM (0.357 ± 0.338), but this difference was also not statistically significant (P = 0.55). The ICER suggested that it would cost an additional $18,536 for each QALY gained using POEM. There was substantial uncertainty in the ICER; there was a 48.25% probability that POEM was cost-effective at the mean ICER. At a willingness-to-pay threshold of $100,000, there was a 68.31% probability that POEM was cost-effective relative to LHM. CONCLUSIONS In the treatment of achalasia, POEM appears to be cost-effective relative to LHM depending on one's willingness-to-pay for an additional QALY.
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Affiliation(s)
- Erin K Greenleaf
- Department of Surgery, The Pennsylvania State University, College of Medicine, 500 University Drive, H151, Hershey, PA, 17033-0850, USA
| | - Joshua S Winder
- Department of Surgery, The Pennsylvania State University, College of Medicine, 500 University Drive, H151, Hershey, PA, 17033-0850, USA
| | - Christopher S Hollenbeak
- Department of Surgery, The Pennsylvania State University, College of Medicine, 500 University Drive, H151, Hershey, PA, 17033-0850, USA. .,Department of Public Health Sciences, The Pennsylvania State University, College of Medicine, 500 University Drive, H151, Hershey, PA, 17033-0850, USA.
| | - Randy S Haluck
- Department of Surgery, The Pennsylvania State University, College of Medicine, 500 University Drive, H151, Hershey, PA, 17033-0850, USA
| | - Abraham Mathew
- Department of Internal Medicine, The Pennsylvania State University, College of Medicine, 500 University Drive, H151, Hershey, PA, 17033-0850, USA
| | - Eric M Pauli
- Department of Surgery, The Pennsylvania State University, College of Medicine, 500 University Drive, H151, Hershey, PA, 17033-0850, USA
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Puligandla PS, Baird R, Skarsgard ED, Emil S, Laberge JM. Outcome prediction in gastroschisis - The gastroschisis prognostic score (GPS) revisited. J Pediatr Surg 2017; 52:718-721. [PMID: 28162766 DOI: 10.1016/j.jpedsurg.2017.01.017] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2017] [Accepted: 01/23/2017] [Indexed: 11/30/2022]
Abstract
PURPOSE The GPS enables risk stratification for gastroschisis and helps discriminate low from high morbidity groups. The purpose of this study was to revalidate GPS's characterization of a high morbidity group and to quantify relationships between the GPS and outcomes. METHODS With REB approval, complete survivor data from a national gastroschisis registry was collected. GPS bowel injury scoring was revalidated excluding the initial inception/validation cohorts (>2011). Length of stay (LOS), 1st enteral feed days (dFPO), TPN days (dTPN), and aggregate complications (COMP) were compared between low and high morbidity risk groups. Mathematical relationships between outcomes and integer increases in GPS were explored using the entire cohort (2005-present). RESULTS Median (range) LOS, dPO, and dTPN for the entire cohort (n=849) was 36 (26,62), 13 (9,18), and 27 (20,46) days, respectively. High-risk patients (GPS≥2; n=80) experienced significantly worse outcomes than low risk patients (n=263). Each integer increase in GPS was associated with increases in LOS and dTPN by 16.9 and 12.7days, respectively (p<0.01). COMP rate was also increased in the high-risk cohort (46.3% vs. 22.8%; p<0.01). CONCLUSION The GPS effectively discriminates low from high morbidity risk groups. Within the high risk group, integer increases in GPS produce quantitatively differentiated outcomes which may guide initial counseling and resource allocation. LEVEL OF EVIDENCE IIb.
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Affiliation(s)
- Pramod S Puligandla
- Divisions of Pediatric General and Thoracic Surgery, The Montreal Children's Hospital, Montreal, Quebec.
| | - Robert Baird
- Divisions of Pediatric General and Thoracic Surgery, The Montreal Children's Hospital, Montreal, Quebec
| | - Eric D Skarsgard
- British Columbia Children's Hospital, Vancouver, British Columbia, Canada
| | - Sherif Emil
- Divisions of Pediatric General and Thoracic Surgery, The Montreal Children's Hospital, Montreal, Quebec
| | - Jean-Martin Laberge
- Divisions of Pediatric General and Thoracic Surgery, The Montreal Children's Hospital, Montreal, Quebec
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Song B, Ding C, Chen W, Sun H, Zhang M, Chen W. Incidence and mortality of cervical cancer in China, 2013. Chin J Cancer Res 2017; 29:471-476. [PMID: 29353969 DOI: 10.21147/j.issn.1000-9604.2017.06.01] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Objective Estimating the incidence and mortality rate of cervical cancer became necessary to establish prevention measures and healthy policies. The aim of this study was to estimate the updated incidence and mortality rate of cervical cancer in 2013 in China. Methods According to the evaluation criteria developed by the National Central Cancer Registry of China, the data submitted from 255 cancer registries met the required standards in 2013. Cervical cancer cases were retrieved from the national database and combined with the 2013 national population data. The age-standardized incidence and mortality rates were based on the demographic structure of the national census 2000 and Segi's world population. Results In 2013, the estimated number of new cases and deaths from cervical cancer were 100,700 and 26,400, respectively. The crude incidence of cervical cancer was 15.17/100,000. The age-standardized incidence rates based on the Chinese standard population (ASIRC) and the world standard population (ASIRW) were 11.30/100,000 and 10.30/100,000, respectively. The incidence of cervical cancer in urban areas was 15.62/100,000 and the ASIRC was 11.12/100,000. The incidence of cervical cancer in rural areas was 14.65/100,000 and the ASIRC was 11.47/100,000. The mortality rate of cervical cancer was 3.98/100,000. The age-standardized mortality rates based on the Chinese (ASMRC) and world standard populations (ASMRW) were 2.76/100,000 and 2.62/100,000, respectively. The mortality rate of cervical cancer in urban areas was 3.85/100,000 and in rural areas was 4.14/100,000. Cervical cancer incidence and mortality increased with age. Urban areas had a higher incidence of cervical cancer and lower mortality rates when compared with rural areas. Conclusions Dynamic monitoring of cervical cancer incidence and mortality is the fundamental work of cervical cancer prevention and control. Cervical cancer is a serious issue in women's health, and prevention strategies need to be enhanced, such as human papilloma virus (HPV) vaccination and screening programs.
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Affiliation(s)
- Bingbing Song
- Tumor Prevention and Treatment Institute, Harbin Medical University, Harbin 150086, China.,Heilongjiang Academy of Medical Sciences, Harbin 150086, China
| | - Chao Ding
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Wangyang Chen
- Tumor Prevention and Treatment Institute, Harbin Medical University, Harbin 150086, China.,Heilongjiang Academy of Medical Sciences, Harbin 150086, China
| | - Huixin Sun
- Tumor Prevention and Treatment Institute, Harbin Medical University, Harbin 150086, China.,Heilongjiang Academy of Medical Sciences, Harbin 150086, China
| | - Maoxiang Zhang
- Tumor Prevention and Treatment Institute, Harbin Medical University, Harbin 150086, China.,Heilongjiang Academy of Medical Sciences, Harbin 150086, China
| | - Wanqing Chen
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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