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      Deriving and validating a brief measure of treatment burden to assess person-centered healthcare quality in primary care: a multi-method study

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          Abstract

          Background

          In primary care there is a need for more quality measures of person-centered outcomes, especially ones applicable to patients with multiple chronic conditions (MCCs). The aim of this study was to derive and validate a short-form version of the Patient Experience with Treatment and Self-management (PETS), an established measure of treatment burden, to help fill the gap in quality measurement.

          Methods

          Patient interviews (30) and provider surveys (30) were used to winnow items from the PETS (60 items) to a subset targeting person-centered care quality. Results were reviewed by a panel of healthcare providers and health-services researchers who finalized a pilot version. The Brief PETS was tested in surveys of 200 clinic and 200 community-dwelling MCC patients. Surveys containing the Brief PETS and additional measures (e.g., health status, medication adherence, quality of care, demographics) were administered at baseline and follow-up. Correlations and t-tests were used to assess validity, including responsiveness to change of the Brief PETS. Effect sizes (ES) were calculated on mean differences.

          Results

          Winnowing and panel review resulted in a 34-item Brief PETS pilot measure that was tested in the combined sample of 400 (mean age = 57.9 years, 50% female, 48% white, median number of conditions = 5). Reliability of most scales was acceptable (alpha > 0.70). Brief PETS scores were associated with age, income, health status, and quality of chronic illness care at baseline ( P < .05; rho magnitude range: 0.16–0.66). Furthermore, Brief PETS scores differentiated groups based on marital and education status, presence/absence of a self-management routine, and optimal/suboptimal medication adherence ( P < .05; ES range: 0.25–1.00). Declines in patient-reported physical or mental health status over time were associated with worsening PETS burden scores, while improvements were associated with improving PETS burden scores ( P < .05; ES range: 0.04–0.44). Among clinic patients, 91% were willing to complete the Brief PETS as part of their clinic visits.

          Conclusions

          The Brief PETS (final version: 32 items) is a reliable and valid tool for assessing person-centered care quality related to treatment burden. It holds promise as a means of giving voice to patient concerns about the complexity of disease management.

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          Most cited references44

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          Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives

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            Individual-patient monitoring in clinical practice: are available health status surveys adequate?

            Interest has increased in recent years in incorporating health status measures into clinical practice for use at the individual-patient level. We propose six measurement standards for individual-patient applications: (1) practical features, (2) breadth of health measured, (3) depth of health measured, (4) precision for cross-sectional assessment, (5) precision for longitudinal monitoring and (6) validity. We evaluate five health status surveys (Functional Status Questionnaire, Dartmouth COOP Poster Charts, Nottingham Health Profile, Duke Health Profile, and SF-36 Health Survey) that have been proposed for use in clinical practice. We conducted an analytical literature review to evaluate the six measurement standards for individual-patient applications across the five surveys. The most problematic feature of the five surveys was their lack of precision for individual-patient applications. Across all scales, reliability standards for individual assessment and monitoring were not satisfied, and the 95% CIs were very wide. There was little evidence of the validity of the five surveys for screening, diagnosing, or monitoring individual patients. The health status surveys examined in this paper may not be suitable for monitoring the health and treatment status of individual patients. Clinical usefulness of existing measures might be demonstrated as clinical experience is broadened. At this time, however, it seems that new instruments, or adaptation of existing measures and scaling methods, are needed for individual-patient assessment and monitoring.
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              Development and validation of the Patient Assessment of Chronic Illness Care (PACIC).

              There is a need for a brief, validated patient self-report instrument to assess the extent to which patients with chronic illness receive care that aligns with the Chronic Care Model-measuring care that is patient-centered, proactive, planned and includes collaborative goal setting; problem-solving and follow-up support. A total of 283 adults reporting one or more chronic illness from a large integrated health care delivery system were studied. Participants completed the 20-item Patient Assessment of Chronic Illness Care (PACIC) as well as measures of demographic factors, a patient activation scale, and subscales from a primary care assessment instrument so that we could evaluate measurement performance, construct, and concurrent validity of the PACIC. The PACIC consists of 5 scales and an overall summary score, each having good internal consistency for brief scales. As predicted, the PACIC was only slightly correlated with age and gender, and unrelated to education. Contrary to prediction, it was only slightly correlated (r = 0.13) with number of chronic conditions. The PACIC demonstrated moderate test-retest reliability (r = 0.58 during the course of 3 months) and was correlated moderately, as predicted (r = 0.32-0.60, median = 0.50, P < 0.001) to measures of primary care and patient activation. The PACIC appears to be a practical instrument that is reliable and has face, construct, and concurrent validity. The resulting questionnaire is in the public domain, and recommendations for its use in research and quality improvement are outlined.
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                Author and article information

                Contributors
                eton.david@mayo.edu
                Journal
                BMC Fam Pract
                BMC Fam Pract
                BMC Family Practice
                BioMed Central (London )
                1471-2296
                28 October 2020
                28 October 2020
                2020
                : 21
                : 221
                Affiliations
                [1 ]GRID grid.66875.3a, ISNI 0000 0004 0459 167X, Department of Health Sciences Research, Mayo Clinic, ; Harwick Building, Second Floor, 200 First St SW, Rochester, MN 55905 USA
                [2 ]GRID grid.66875.3a, ISNI 0000 0004 0459 167X, Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, ; Rochester, MN USA
                [3 ]GRID grid.414021.2, ISNI 0000 0000 9206 4546, Hennepin Healthcare, ; Minneapolis, MN USA
                [4 ]GRID grid.17635.36, ISNI 0000000419368657, University of Minnesota Medical School, ; Minneapolis, MN USA
                [5 ]Decision Partners for Health, Minneapolis, MN USA
                [6 ]GRID grid.66875.3a, ISNI 0000 0004 0459 167X, Women’s Cancer Program, Mayo Clinic, ; Rochester, MN USA
                [7 ]Hennepin Healthcare Research Institute, Minneapolis, MN USA
                [8 ]GRID grid.27755.32, ISNI 0000 0000 9136 933X, Department of Public Health Sciences, , University of Virginia School of Medicine, ; Charlottesville, VA USA
                Author information
                http://orcid.org/0000-0001-8715-1511
                Article
                1291
                10.1186/s12875-020-01291-x
                7594460
                33115421
                792eac24-18ba-4c66-8959-2c010e2e1d38
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 11 August 2020
                : 19 October 2020
                Funding
                Funded by: National Institute of Nursing Research, National Institutes of Health (USA)
                Award ID: R01NR015441
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2020

                Medicine
                quality of health care,primary health care,multimorbidity,patient-reported outcome measures,patient-reported experience measures,quality of life,patient-centered

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