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Carlozzi NE, Kallen MA, Morin KG, Fyffe DC, Wecht JM. Item Banks for Measuring the Effect of Blood Pressure Dysregulation on Health-Related Quality of Life in Persons With Spinal Cord Injury. Arch Phys Med Rehabil 2023; 104:1872-1881. [PMID: 37172674 DOI: 10.1016/j.apmr.2023.04.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 03/24/2023] [Accepted: 04/15/2023] [Indexed: 05/15/2023]
Abstract
OBJECTIVE To report on the development and calibration of the new Blood Pressure Dysregulation Measurement System (BPD-MS) item banks that assess the effect of BPD on health-related quality of life (HRQOL) and the daily activities of Veterans and non-Veterans with spinal cord injury (SCI). DESIGN Cross-sectional survey study. SETTING Two Veteran Affairs medical centers and a SCI model system site. PARTICIPANTS 454 respondents with SCI (n=262 American Veterans and n=192 non-Veterans; N=454). INTERVENTIONS Not applicable MAIN OUTCOME MEASURES: The BPD-MS item banks. RESULTS BPD item pools were developed and refined using literature reviews, qualitative data from focus groups, and cognitive debriefing of persons with SCI and professional caregivers. The item banks then underwent expert review, reading level assessment, and translatability review prior to field testing. The items pools consisted of 180 unique questions (items). Exploratory and confirmatory factor analyses, item response theory modeling, and differential item function investigations resulted in item banks that included a total of 150 items: 75 describing the effect of autonomic dysreflexia on HRQOL, 55 describing the effect of low blood pressure (LBP) on HRQOL, and 20 describing the effect of LBP on daily activities. In addition, 10-item short forms were constructed based on item response theory-derived item information values and the clinical relevance of item content. CONCLUSIONS The new BPD-MS item banks and corresponding 10-item short forms were developed using established rigorous measurement development standards, which represents the first BPD-specific patient-reported outcomes measurement system unique for use in the SCI population.
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Affiliation(s)
- Noelle E Carlozzi
- Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI.
| | - Michael A Kallen
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Kel G Morin
- Veterans Affairs Rehabilitation Research & Development Service (VA RR&D) Center of Excellence for Medical Consequences of SCI, James J. Peters Veterans Affairs Medical Center, Bronx, NY; Spinal Cord Damage Research Center, James J. Peters VAMC, Bronx, NY
| | - Denise C Fyffe
- Kessler Foundation, West Orange, NJ; Rutgers New Jersey Medical School, Newark, NJ
| | - Jill M Wecht
- Veterans Affairs Rehabilitation Research & Development Service (VA RR&D) Center of Excellence for Medical Consequences of SCI, James J. Peters Veterans Affairs Medical Center, Bronx, NY; Spinal Cord Damage Research Center, James J. Peters VAMC, Bronx, NY; Department of Human Performance and Rehabilitation Medicine, the Icahn School of Medicine, Mount Sinai, New York, NY; Department of Medicine, the Icahn School of Medicine, Mount Sinai, New York, NY
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Heltne A, Braeken J, Hummelen B, Germans Selvik S, Buer Christensen T, Paap MCS. Do Flexible Administration Procedures Promote Individualized Clinical Assessments? An Explorative Analysis of How Clinicians Utilize the Funnel Structure of the SCID-5-AMPD Module I: LPFS. J Pers Assess 2023; 105:636-646. [PMID: 36511879 DOI: 10.1080/00223891.2022.2152344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 10/27/2022] [Accepted: 11/08/2022] [Indexed: 12/15/2022]
Abstract
The current study examined clinicians' utilization of the SCID-5-AMPD-I funnel structure. Across 237 interviews, conducted as part of the NorAMP study, we found that clinicians administered on average 2-3 adjacent levels under each subdomain, effectively administering only about 50% of available items. Comparing administration patterns of interviews, no two interviews contained the exact same set of administered items. On average, when comparing individual interviews, only about half of the administered items in each interview were administered in both interviews. Cross-classified mixed effects models were estimated to examine the factors affecting item administration. Results indicated that the interplay between patient preliminary scores and item level had a substantial impact on item administration, suggesting clinicians tend to administer items corresponding to expected patient severity. Overall, our findings suggest clinicians utilize the SCID-5-AMPD-I funnel structure to conduct efficient and individually tailored assessments informed by relevant patient characteristics. Adopting similar non-fixed administration procedures for other interviews could potentially provide similar benefits compared to traditional fixed-form administration procedures. The current study can serve as a template for verifying and evaluating future adoptions of non-fixed administration procedures in other interviews.
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Affiliation(s)
- Aleksander Heltne
- Department of Research and Innovation, Clinic for Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Johan Braeken
- Department of Research and Innovation, Clinic for Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Centre for Educational Measurement, University of Oslo (CEMO), Oslo, Norway
| | - Benjamin Hummelen
- Department of Research and Innovation, Clinic for Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Sara Germans Selvik
- Department of Psychiatry, Helse Nord-Trønderlag, Namsos Hospital, Namsos, Norway
- Department of Mental Health, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | | | - Muirne C S Paap
- Department of Research and Innovation, Clinic for Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Child and Family Welfare, Faculty of Behavioural and Social Sciences, University of Groningen, Groningen, The Netherlands
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Giordano A, Testa S, Bassi M, Cilia S, Bertolotto A, Quartuccio ME, Pietrolongo E, Falautano M, Grobberio M, Niccolai C, Allegri B, Viterbo RG, Confalonieri P, Giovannetti AM, Cocco E, Grasso MG, Lugaresi A, Ferriani E, Nocentini U, Zaffaroni M, De Livera A, Jelinek G, Solari A, Rosato R. Applying multidimensional computerized adaptive testing to the MSQOL-54: a simulation study. Health Qual Life Outcomes 2023; 21:61. [PMID: 37357308 DOI: 10.1186/s12955-023-02152-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 06/15/2023] [Indexed: 06/27/2023] Open
Abstract
BACKGROUND The Multiple Sclerosis Quality of Life-54 (MSQOL-54) is one of the most commonly-used MS-specific health-related quality of life (HRQOL) measures. It is a multidimensional, MS-specific HRQOL inventory, which includes the generic SF-36 core items, supplemented with 18 MS-targeted items. Availability of an adaptive short version providing immediate item scoring may improve instrument usability and validity. However, multidimensional computerized adaptive testing (MCAT) has not been previously applied to MSQOL-54 items. We thus aimed to apply MCAT to the MSQOL-54 and assess its performance. METHODS Responses from a large international sample of 3669 MS patients were assessed. We calibrated 52 (of the 54) items using bifactor graded response model (10 group factors and one general HRQOL factor). Then, eight simulations were run with different termination criteria: standard errors (SE) for the general factor and group factors set to different values, and change in factor estimates from one item to the next set at < 0.01 for both the general and the group factors. Performance of the MCAT was assessed by the number of administered items, root mean square difference (RMSD), and correlation. RESULTS Eight items were removed due to local dependency. The simulation with SE set to 0.32 (general factor), and no SE thresholds (group factors) provided satisfactory performance: the median number of administered items was 24, RMSD was 0.32, and correlation was 0.94. CONCLUSIONS Compared to the full-length MSQOL-54, the simulated MCAT required fewer items without losing precision for the general HRQOL factor. Further work is needed to add/integrate/revise MSQOL-54 items in order to make the calibration and MCAT performance efficient also on group factors, so that the MCAT version may be used in clinical practice and research.
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Affiliation(s)
- Andrea Giordano
- Unit of Neuroepidemiology, Fondazione IRRCS Istituto Neurologico Carlo Besta, Via Celoria 11, Milan, 20133, Italy
- Department of Psychology, University of Turin, Turin, Italy
| | - Silvia Testa
- Department of Human and Social Sciences, University of Aosta Valley, Aosta, Italy
| | - Marta Bassi
- Department of Biomedical and Clinical Sciences, Università di Milano, Milan, Italy
| | - Sabina Cilia
- Department of Territorial Activities, Azienda Sanitaria Provinciale, Health District, Catania, Italy
| | - Antonio Bertolotto
- Neurology Unit & Regional Referral Multiple Sclerosis Centre (CReSM), University Hospital San Luigi Gonzaga, Orbassano, Italy
| | | | - Erika Pietrolongo
- Department of Neurosciences, Imaging and Clinical Sciences, University G. d'Annunzio, Chieti, Italy
| | - Monica Falautano
- Psychological Service - Neurological and Neurological Rehabilitation Units, IRCCS San Raffaele, Milan, Italy
| | - Monica Grobberio
- Laboratory of Clinical Neuropsychology, Psychology Unit, ASST Lariana, Como, Italy
| | | | - Beatrice Allegri
- Multiple Sclerosis Center, Neurology Unit, Hospital of Vaio, Fidenza, Italy
| | | | - Paolo Confalonieri
- Multiple Sclerosis Center, Unit of Neuroimmunology and Neuromuscular Diseases, Fondazione IRRCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Ambra Mara Giovannetti
- Unit of Neuroepidemiology, Fondazione IRRCS Istituto Neurologico Carlo Besta, Via Celoria 11, Milan, 20133, Italy
- Multiple Sclerosis Center, Unit of Neuroimmunology and Neuromuscular Diseases, Fondazione IRRCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Eleonora Cocco
- Department of Medical Science and Public Health, University of Cagliari, Cagliari, Italy
- Multiple Sclerosis Center, ASL Cagliari, ATS Sardegna, Cagliari, Italy
| | | | - Alessandra Lugaresi
- Dipartimento di Scienze Biomediche e Neuromotorie, Università di Bologna, Bologna, Italy
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Elisa Ferriani
- UOC Psicologia Ospedaliera, AUSL di Bologna, Bologna, Italy
| | - Ugo Nocentini
- Department of Clinical Sciences and Translational Medicine, University of Rome "Tor Vergata", Rome, Italy
- Behavioral Neuropsychology Laboratory, IRCCS S. Lucia Foundation, Rome, Italy
| | - Mauro Zaffaroni
- Neurologia ad indirizzo Neuroimmunologico - Centro Sclerosi Multipla, Ospedale di Gallarate - ASST della Valle Olona, Gallarate, Italy
| | - Alysha De Livera
- Mathematics and Statistics, La Trobe University, Melbourne, Australia
- Neuroepidemiology Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - George Jelinek
- Neuroepidemiology Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Alessandra Solari
- Unit of Neuroepidemiology, Fondazione IRRCS Istituto Neurologico Carlo Besta, Via Celoria 11, Milan, 20133, Italy.
| | - Rosalba Rosato
- Department of Psychology, University of Turin, Turin, Italy
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Carlozzi NE, Kallen MA, Troost J, Bragg A, Martin-Howard J, Moldovan I, Miner JA, Jack BW, Mitchell S. Development and calibration data for the Medication Adherence Item Bank: a new computer adaptive test for persons with type 2 diabetes mellitus. Qual Life Res 2023; 32:813-826. [PMID: 36306065 PMCID: PMC10472277 DOI: 10.1007/s11136-022-03275-z] [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] [Accepted: 10/07/2022] [Indexed: 11/26/2022]
Abstract
PURPOSE To develop a new computer adaptive test that evaluates important aspects of medication adherence for persons with type 2 diabetes mellitus. METHODS Two hundred and twenty-five people with type 2 diabetes mellitus completed 41 items related to medication adherence. RESULTS Exploratory analysis supported the essential unidimensionality of the initial item pool. Five items were deleted due to low item-adjusted total score correlations (resulting in 36 items). Confirmatory factor analysis supported the retention of 27 items. A graded response model identified no items for exclusion, based on misfit. No items were flagged for meaningful differential item functioning (DIF). The final item bank is comprised of 27 items; an associated 6-item short form was constructed that balanced both psychometric factors (e.g., item information values) and clinical input. Initial analysis of the simulated CAT and static short form supported both the reliability (i.e., internal consistency and test-retest reliability) and validity (i.e., convergent, discriminant, and known groups) of both administration formats. CONCLUSIONS The new medication adherence item bank provides a reliable and valid assessment of the ability to take medications accurately among people with T2DM; it will be available in early 2023 through healthmeasures.net.
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Affiliation(s)
- Noelle E Carlozzi
- Department of Physical Medicine & Rehabilitation, Center for Clinical Outcomes Development and Application (CODA), University of Michigan, North Campus Research Complex, 2800 Plymouth Road, Building NCRC B14, Room G216, Ann Arbor, MI, 48109-2800, USA.
| | - Michael A Kallen
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Jonathan Troost
- Michigan Institute for Clinical and Health Research, University of Michigan, Ann Arbor, MI, USA
| | - Alexa Bragg
- Department of Family Medicine, Boston University School of Medicine, Boston, MA, USA
| | | | - Ioana Moldovan
- Department of Family Medicine, Boston Medical Center, Boston, MA, USA
| | - Jennifer A Miner
- Department of Physical Medicine & Rehabilitation, Center for Clinical Outcomes Development and Application (CODA), University of Michigan, North Campus Research Complex, 2800 Plymouth Road, Building NCRC B14, Room G216, Ann Arbor, MI, 48109-2800, USA
| | - Brian W Jack
- Department of Family Medicine, Boston University School of Medicine, Boston, MA, USA
- Department of Family Medicine, Boston Medical Center, Boston, MA, USA
| | - Suzanne Mitchell
- Department of Family Medicine, Boston University School of Medicine, Boston, MA, USA
- Department of Family Medicine, Boston Medical Center, Boston, MA, USA
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Mitchell S, Kallen MA, Troost JP, Bragg A, Martin-Howard J, Moldovan I, Miner JA, Jack BW, Carlozzi NE. Development and calibration data for the Illness Burden item bank: a new computer adaptive test for persons with type 2 diabetes mellitus. Qual Life Res 2023; 32:797-811. [PMID: 36282447 PMCID: PMC10472317 DOI: 10.1007/s11136-022-03282-0] [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] [Accepted: 10/11/2022] [Indexed: 10/31/2022]
Abstract
PURPOSE The purpose of this study was to develop a new measure, the Re-Engineered Discharge for Diabetes Computer Adaptive Test (REDD-CAT) Illness Burden item bank, to evaluate the impact that a chronic condition has on independent living, the ability to work (including working at home), social activities, and relationships. METHODS Semi-structured interviews were used to inform the development of an item pool (47 items) that captured patients' beliefs about how a diagnosis of type 2 diabetes interferes with different aspects of their lives. The Illness Burden item bank was developed and tested in 225 people with type 2 diabetes mellitus. RESULTS No items had sparse response option cells or problems with monotonicity; two items were deleted due to low item-rest correlations. Factor analyses supported the retention of 29 items. With those 29 remaining items, a constrained (common slope) graded response model fit assessment indicated that two items had misfit; they were excluded. No items displayed differential item functioning by age, sex, education, or socio-economic status. The final item bank is comprised of 27 items. Preliminary data supported the reliability (internal consistency and test-retest reliability) and validity (convergent, discriminant, and known-groups) of the new bank. CONCLUSION The Illness Burden item bank can be administered as a computer adaptive test or a 6-item short form. This new measure captures patients' perceptions of the impact that having type 2 diabetes has on their daily lives; it can be used in conjunction with the REDD-CAT measurement system to evaluate important social determinants of health in persons with type 2 diabetes mellitus.
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Affiliation(s)
- Suzanne Mitchell
- Department of Family Medicine, Boston University School of Medicine, Boston, MA, USA
- Department of Family Medicine, Boston Medical Center, Boston, MA, USA
| | - Michael A Kallen
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Jonathan P Troost
- Michigan Institute for Clinical and Health Research, University of Michigan, Ann Arbor, MI, USA
| | - Alexa Bragg
- Department of Family Medicine, Boston University School of Medicine, Boston, MA, USA
| | | | - Ioana Moldovan
- Department of Family Medicine, Boston Medical Center, Boston, MA, USA
| | - Jennifer A Miner
- Department of Physical Medicine and Rehabilitation, Center for Clinical Outcomes Development and Application (CODA), University of Michigan, North Campus Research Complex, 2800 Plymouth Road, Building NCRC B14, Room G216, Ann Arbor, MI, 48109-2800, USA
| | - Brian W Jack
- Department of Family Medicine, Boston University School of Medicine, Boston, MA, USA
- Department of Family Medicine, Boston Medical Center, Boston, MA, USA
| | - Noelle E Carlozzi
- Department of Physical Medicine and Rehabilitation, Center for Clinical Outcomes Development and Application (CODA), University of Michigan, North Campus Research Complex, 2800 Plymouth Road, Building NCRC B14, Room G216, Ann Arbor, MI, 48109-2800, USA.
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Carlozzi NE, Kallen MA, Troost JP, Bragg A, Martin-Howard J, De La Cruz B, Miner JA, Moldovan I, Jack BW, Mitchell S. Development and calibration data for the Healthcare Access Item Bank: a new computer adaptive test for persons with type 2 diabetes mellitus. Qual Life Res 2023; 32:781-796. [PMID: 36315318 PMCID: PMC10472318 DOI: 10.1007/s11136-022-03278-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/08/2022] [Indexed: 03/08/2023]
Abstract
PURPOSE The purpose of this study was to develop a new measure to evaluate the ability to receive medical services when needed among persons with type 2 diabetes mellitus. METHODS The Healthcare Access measure was developed using data from 225 persons with type 2 diabetes mellitus who completed an item pool comprised of 54 questions pertaining to their experience accessing healthcare services. RESULTS Exploratory and confirmatory factor analyses supported the retention of 45 items. In addition, a constrained graded response model (GRM), as well as analyses that examined item misfit and differential item functioning (investigated for age, sex, education, race, and socioeconomic status), supported the retention of 44 items in the final item bank. Expert review and GRM item calibration products were used to inform the selection of a 6-item static short form and to program the Healthcare Access computer adaptive test (CAT). Preliminary data supported the reliability (i.e., internal consistency and test-retest reliability) and validity (i.e., convergent, discriminant, and known-groups) of the new measure. CONCLUSIONS The new Healthcare Access item bank can be used to examine the experiences that persons with type 2 diabetes mellitus have with healthcare access, to better target treatment improvements and mitigate disparities; it will be available as a part of the Neuro-Qol measurement system through healthmeasures.net and the PROMIS Application Programmable Interface (API) in early 2023.
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Affiliation(s)
- Noelle E Carlozzi
- Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI, USA.
- Department of Physical Medicine & Rehabilitation, Center for Clinical Outcomes Development and Application (CODA), University of Michigan, North Campus Research Complex, 2800 Plymouth Road, Building NCRC B14, Room G216, Ann Arbor, MI, 48109-2800, USA.
| | - Michael A Kallen
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Jonathan P Troost
- Michigan Institute for Clinical and Health Research, University of Michigan, Ann Arbor, MI, USA
| | - Alexa Bragg
- Department of Family Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Jessica Martin-Howard
- Department of Family Medicine, Boston University School of Medicine, Boston, MA, USA
| | | | - Jennifer A Miner
- Department of Physical Medicine & Rehabilitation, Center for Clinical Outcomes Development and Application (CODA), University of Michigan, North Campus Research Complex, 2800 Plymouth Road, Building NCRC B14, Room G216, Ann Arbor, MI, 48109-2800, USA
| | - Ioana Moldovan
- Department of Family Medicine, Boston Medical Center, Boston, MA, USA
| | - Brian W Jack
- Department of Family Medicine, Boston University School of Medicine, Boston, MA, USA
- Department of Family Medicine, Boston Medical Center, Boston, MA, USA
| | - Suzanne Mitchell
- Department of Family Medicine, Boston University School of Medicine, Boston, MA, USA
- Department of Family Medicine, Boston Medical Center, Boston, MA, USA
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Moore TM, Di Sandro A, Scott JC, Lopez KC, Ruparel K, Njokweni LJ, Santra S, Conway DS, Port AM, D'Errico L, Rush S, Wolf DH, Calkins ME, Gur RE, Gur RC. Construction of a computerized adaptive test (CAT-CCNB) for efficient neurocognitive and clinical psychopathology assessment. J Neurosci Methods 2023; 386:109795. [PMID: 36657647 PMCID: PMC9892357 DOI: 10.1016/j.jneumeth.2023.109795] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 12/14/2022] [Accepted: 01/13/2023] [Indexed: 01/18/2023]
Abstract
BACKGROUND Traditional paper-and-pencil neurocognitive evaluations and semi-structured mental health interviews can take hours to administer and score. Computerized assessment has decreased that burden substantially, and contemporary psychometric tools such as item response theory and computerized adaptive testing (CAT) allow even further abbreviation. NEW METHOD The goal of this paper was to describe the application of CAT and related methods to the Penn Computerized Neurocognitive Battery (CNB) and a well-validated clinical assessment in order to increase efficiency in assessment and relevant domain coverage. To calibrate item banks for CAT, N = 5053 participants (63% female; mean age 45 years, range 18-80) were collected from across the United States via crowdsourcing, providing item parameters that were then linked to larger item banks and used in individual test construction. Tests not amenable to CAT were abbreviated using complementary short-form methods. RESULTS The final "CAT-CCNB" battery comprised 21 cognitive tests (compared to 14 in the original) and five adaptive clinical scales (compared to 16 in the original). COMPARISON WITH EXISTING METHODS This new battery, derived with contemporary psychometric approaches, provides further improvements over existing assessments that use collections of fixed-length tests developed for stand-alone administration. The CAT-CCNB provides an improved version of the CNB that shows promise as a maximally efficient tool for neuropsychiatric assessment. CONCLUSIONS We anticipate CAT-CCNB will help satisfy the clear need for broad yet efficient measurement of cognitive and clinical domains, facilitating implementation of large-scale, "big science" approaches to data collection, and potential widespread clinical implementation.
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Affiliation(s)
- Tyler M Moore
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA.
| | - Akira Di Sandro
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - J Cobb Scott
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; VISN4 Mental Illness Research, Education, and Clinical Center at the Philadelphia VA Medical Center, 19104, USA
| | - Katherine C Lopez
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Kosha Ruparel
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA
| | - Lucky J Njokweni
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Satrajit Santra
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - David S Conway
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Allison M Port
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Lisa D'Errico
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Sage Rush
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA
| | - Daniel H Wolf
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Monica E Calkins
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA
| | - Raquel E Gur
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA
| | - Ruben C Gur
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA
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Symptom burden and health-related quality of life in chronic kidney disease: A global systematic review and meta-analysis. PLoS Med 2022; 19:e1003954. [PMID: 35385471 PMCID: PMC8985967 DOI: 10.1371/journal.pmed.1003954] [Citation(s) in RCA: 91] [Impact Index Per Article: 45.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 02/23/2022] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND The importance of patient-reported outcome measurement in chronic kidney disease (CKD) populations has been established. However, there remains a lack of research that has synthesised data around CKD-specific symptom and health-related quality of life (HRQOL) burden globally, to inform focused measurement of the most relevant patient-important information in a way that minimises patient burden. The aim of this review was to synthesise symptom prevalence/severity and HRQOL data across the following CKD clinical groups globally: (1) stage 1-5 and not on renal replacement therapy (RRT), (2) receiving dialysis, or (3) in receipt of a kidney transplant. METHODS AND FINDINGS MEDLINE, PsycINFO, and CINAHL were searched for English-language cross-sectional/longitudinal studies reporting prevalence and/or severity of symptoms and/or HRQOL in CKD, published between January 2000 and September 2021, including adult patients with CKD, and measuring symptom prevalence/severity and/or HRQOL using a patient-reported outcome measure (PROM). Random effects meta-analyses were used to pool data, stratified by CKD group: not on RRT, receiving dialysis, or in receipt of a kidney transplant. Methodological quality of included studies was assessed using the Joanna Briggs Institute Critical Appraisal Checklist for Studies Reporting Prevalence Data, and an exploration of publication bias performed. The search identified 1,529 studies, of which 449, with 199,147 participants from 62 countries, were included in the analysis. Studies used 67 different symptom and HRQOL outcome measures, which provided data on 68 reported symptoms. Random effects meta-analyses highlighted the considerable symptom and HRQOL burden associated with CKD, with fatigue particularly prevalent, both in patients not on RRT (14 studies, 4,139 participants: 70%, 95% CI 60%-79%) and those receiving dialysis (21 studies, 2,943 participants: 70%, 95% CI 64%-76%). A number of symptoms were significantly (p < 0.05 after adjustment for multiple testing) less prevalent and/or less severe within the post-transplantation population, which may suggest attribution to CKD (fatigue, depression, itching, poor mobility, poor sleep, and dry mouth). Quality of life was commonly lower in patients on dialysis (36-Item Short Form Health Survey [SF-36] Mental Component Summary [MCS] 45.7 [95% CI 45.5-45.8]; SF-36 Physical Component Summary [PCS] 35.5 [95% CI 35.3-35.6]; 91 studies, 32,105 participants for MCS and PCS) than in other CKD populations (patients not on RRT: SF-36 MCS 66.6 [95% CI 66.5-66.6], p = 0.002; PCS 66.3 [95% CI 66.2-66.4], p = 0.002; 39 studies, 24,600 participants; transplant: MCS 50.0 [95% CI 49.9-50.1], p = 0.002; PCS 48.0 [95% CI 47.9-48.1], p = 0.002; 39 studies, 9,664 participants). Limitations of the analysis are the relatively few studies contributing to symptom severity estimates and inconsistent use of PROMs (different measures and time points) across the included literature, which hindered interpretation. CONCLUSIONS The main findings highlight the considerable symptom and HRQOL burden associated with CKD. The synthesis provides a detailed overview of the symptom/HRQOL profile across clinical groups, which may support healthcare professionals when discussing, measuring, and managing the potential treatment burden associated with CKD. PROTOCOL REGISTRATION PROSPERO CRD42020164737.
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Anderson NE, Calvert M, Cockwell P, Dutton M, Kyte D. The Use of Patient-Reported Outcomes in Patients Treated With Maintenance Hemodialysis: A Perspective. Am J Kidney Dis 2019; 74:399-406. [PMID: 31031088 DOI: 10.1053/j.ajkd.2019.01.035] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Accepted: 01/29/2019] [Indexed: 12/20/2022]
Abstract
There is increasing interest in the integration of patient-reported outcomes (PROs) into health care research and clinical practice for the benefit of patients with end-stage kidney disease receiving hemodialysis. In a research setting, PROs can be used as a patient-centered primary or secondary outcome in clinical studies. In routine care, PRO data may be used to support service delivery through benchmarking and audit or inform and enhance the care of the individual patient by improving patient-clinician communication. Despite evidence demonstrating the potential benefits of PROs and prioritization of these outcomes by patients, their use in kidney disease remains limited. Although there are significant methodological and operational challenges for the widespread integration of PROs, there is now consensus that this area should be at the forefront of clinical research and implementation science. We discuss the current use of PROs for patients with end-stage kidney disease receiving hemodialysis and identify a roadmap for increasing the evidence base and introducing PROs into mainstream clinical practice.
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Affiliation(s)
- Nicola Elizabeth Anderson
- Centre for Patient Reported Outcomes Research, University of Birmingham, Birmingham, United Kingdom; Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom; Research and Development, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom; Department of Renal Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom.
| | - Melanie Calvert
- Centre for Patient Reported Outcomes Research, University of Birmingham, Birmingham, United Kingdom; Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom; NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, United Kingdom; NIHR Surgical Reconstruction and Microbiology Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, United Kingdom
| | - Paul Cockwell
- Centre for Patient Reported Outcomes Research, University of Birmingham, Birmingham, United Kingdom; Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom; Department of Renal Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom
| | - Mary Dutton
- Centre for Patient Reported Outcomes Research, University of Birmingham, Birmingham, United Kingdom; Research and Development, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom; Department of Renal Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom
| | - Derek Kyte
- Centre for Patient Reported Outcomes Research, University of Birmingham, Birmingham, United Kingdom; Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom; NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, United Kingdom; NIHR Surgical Reconstruction and Microbiology Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, United Kingdom
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Paap MCS, Born S, Braeken J. Measurement Efficiency for Fixed-Precision Multidimensional Computerized Adaptive Tests: Comparing Health Measurement and Educational Testing Using Example Banks. APPLIED PSYCHOLOGICAL MEASUREMENT 2019; 43:68-83. [PMID: 30573935 PMCID: PMC6295884 DOI: 10.1177/0146621618765719] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
It is currently not entirely clear to what degree the research on multidimensional computerized adaptive testing (CAT) conducted in the field of educational testing can be generalized to fields such as health assessment, where CAT design factors differ considerably from those typically used in educational testing. In this study, the impact of a number of important design factors on CAT performance is systematically evaluated, using realistic example item banks for two main scenarios: health assessment (polytomous items, small to medium item bank sizes, high discrimination parameters) and educational testing (dichotomous items, large item banks, small- to medium-sized discrimination parameters). Measurement efficiency is evaluated for both between-item multidimensional CATs and separate unidimensional CATs for each latent dimension. In this study, we focus on fixed-precision (variable-length) CATs because it is both feasible and desirable in health settings, but so far most research regarding CAT has focused on fixed-length testing. This study shows that the benefits associated with fixed-precision multidimensional CAT hold under a wide variety of circumstances.
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Affiliation(s)
- Muirne C. S. Paap
- University of Groningen, The Netherlands
- Muirne C. S. Paap, Department of Special Needs, Education, and Youth Care, Faculty of Behavioural and Social Sciences, University of Groningen, Grote Rozenstraat 38, Groningen, The Netherlands.
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McCabe E, Gross DP, Bulut O. Procedures to develop a computerized adaptive test to assess patient-reported physical functioning. Qual Life Res 2018; 27:2393-2402. [DOI: 10.1007/s11136-018-1898-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/31/2018] [Indexed: 12/16/2022]
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