IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i23p12445-d688569.html
   My bibliography  Save this article

A Narrative Literature Review of Bias in Collecting Patient Reported Outcomes Measures (PROMs)

Author

Listed:
  • Michela Luciana Luisa Zini

    (School of Medicine, Università Vita-Salute San Raffaele, 20132 Milan, Italy)

  • Giuseppe Banfi

    (School of Medicine, Università Vita-Salute San Raffaele, 20132 Milan, Italy
    IRCCS Istituto Ortopedico Galeazzi, 20161 Milan, Italy)

Abstract

There is a growing interest in the collection and use of patient reported outcomes because they not only provide clinicians with crucial information, but can also be used for economic evaluation and enable public health decisions. During the collection phase of PROMs, there are several factors that can potentially bias the analysis of PROM data. It is crucial that the collected data are reliable and comparable. The aim of this paper was to analyze the type of bias that have already been taken into consideration in the literature. A literature review was conducted by the authors searching on PubMed database, after the selection process, 24 studies were included in this review, mostly regarding orthopedics. Seven types of bias were identified: Non-response bias, collection method related bias, fatigue bias, timing bias, language bias, proxy response bias, and recall bias. Regarding fatigue bias and timing bias, only one study was found; for non-response bias, collection mode related bias, and recall bias, no agreement was found between studies. For these reasons, further research on this subject is needed in order to assess each bias type in relation to each medical specialty, and therefore find correction methods for reliable and comparable data for analysis.

Suggested Citation

  • Michela Luciana Luisa Zini & Giuseppe Banfi, 2021. "A Narrative Literature Review of Bias in Collecting Patient Reported Outcomes Measures (PROMs)," IJERPH, MDPI, vol. 18(23), pages 1-12, November.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:23:p:12445-:d:688569
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/23/12445/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/23/12445/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nancy Devlin;John Appleby, 2010. "Getting the Most out of PROMs: Putting Health Outcomes at the Heart of NHS Decision-Making," Monograph 000220, Office of Health Economics.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Neeru Gupta & Samuel R. Cookson, 2023. "Evaluation of Survey Nonresponse in Measuring Cardiometabolic Health Risk Factors and Outcomes among Sexual Minority Populations: A National Data Linkage Analysis," IJERPH, MDPI, vol. 20(7), pages 1-11, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kirstie L. Haywood & Roger Wilson & Sophie Staniszewska & Sam Salek, 2016. "Using PROMs in Healthcare: Who Should Be in the Driving Seat—Policy Makers, Health Professionals, Methodologists or Patients?," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 9(6), pages 495-498, December.
    2. Wei-Han Cheng & Haridarshan Patel & Wan-Ju Lee & Fang-Ju Lin & A. Pickard, 2015. "Positive Outcomes of Varicose Vein Surgery: The Patient Perspective," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 8(4), pages 329-337, August.
    3. Paul F M Krabbe, 2013. "A Generalized Measurement Model to Quantify Health: The Multi-Attribute Preference Response Model," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-12, November.
    4. Laika Köse Tamer & Gülten Sucu Dağ, 2020. "The Assessment of Pain and the Quality of Postoperative Pain Management in Surgical Patients," SAGE Open, , vol. 10(2), pages 21582440209, May.
    5. Max W de Graaf & Inge H F Reininga & Erik Heineman & Mostafa El Moumni, 2019. "The development and internal validation of a model to predict functional recovery after trauma," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-16, March.
    6. Madhavan, Naveen & White, Gareth R.T. & Jones, Paul, 2023. "Identifying the value of a clinical information system during the COVID-19 pandemic," Technovation, Elsevier, vol. 120(C).
    7. Elizabeth Lumley & Patrick Phillips & Ahmed Aber & Helen Buckley‐Woods & Georgina L. Jones & Jonathan A. Michaels, 2019. "Experiences of living with varicose veins: A systematic review of qualitative research," Journal of Clinical Nursing, John Wiley & Sons, vol. 28(7-8), pages 1085-1099, April.
    8. Stirling Bryan & Craig Mitton & Cam Donaldson, 2014. "Breaking The Addiction To Technology Adoption," Health Economics, John Wiley & Sons, Ltd., vol. 23(4), pages 379-383, April.
    9. Deepa Jahagirdar & Thilo Kroll & Karen Ritchie & Sally Wyke, 2013. "Patient-Reported Outcome Measures for Chronic Obstructive Pulmonary Disease," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 6(1), pages 11-21, March.
    10. Nancy J. Devlin & Koonal K. Shah & Yan Feng & Brendan Mulhern & Ben van Hout, 2018. "Valuing health‐related quality of life: An EQ‐5D‐5L value set for England," Health Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 7-22, January.
    11. Matthew Skellern, 2017. "The hospital as a multi-product firm: the effect of hospital competition on value-added indicators of clinical quality," CEP Discussion Papers dp1484, Centre for Economic Performance, LSE.
    12. David Nuttall & David Parkin & Nancy Devlin, 2015. "Inter‐Provider Comparison Of Patient‐Reported Outcomes: Developing An Adjustment To Account For Differences In Patient Case Mix," Health Economics, John Wiley & Sons, Ltd., vol. 24(1), pages 41-54, January.
    13. Ole Marten & Wolfgang Greiner, 2022. "Feasibility properties of the EQ-5D-3L and 5L in the general population: evidence from the GP Patient Survey on the impact of age," Health Economics Review, Springer, vol. 12(1), pages 1-10, December.
    14. K. Klose & S. Kreimeier & U. Tangermann & I. Aumann & K. Damm, 2016. "Patient- and person-reports on healthcare: preferences, outcomes, experiences, and satisfaction – an essay," Health Economics Review, Springer, vol. 6(1), pages 1-11, December.
    15. Moula, Zoe & Aithal, Supritha & Karkou, Vicky & Powell, Joanne, 2020. "A systematic review of child-focused outcomes and assessments of arts therapies delivered in primary mainstream schools," Children and Youth Services Review, Elsevier, vol. 112(C).
    16. Anabela Coelho & Candan Kendir & Eliana Barrenho & Niek Klazinga & Cláudia Paiva & Joaquim Abreu de Sousa & Salomé Gonçalves-Monteiro & Patrícia Redondo & Ana Bastos & Armanda Nogueira & Fábio Botelho, 2023. "Patient-Reported Outcomes and Experiences Assessment in Women with Breast Cancer: Portuguese Case Study," IJERPH, MDPI, vol. 20(4), pages 1-11, February.
    17. Zoe Moula & Nicola Walshe & Elsa Lee, 2021. "Making Nature Explicit in Children’s Drawings of Wellbeing and Happy Spaces," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 14(4), pages 1653-1675, August.
    18. Leah Couzner & Maria Crotty & Richard Norman & Julie Ratcliffe, 2013. "A Comparison of the EQ-5D-3L and ICECAP-O in an Older Post-Acute Patient Population Relative to the General Population," Applied Health Economics and Health Policy, Springer, vol. 11(4), pages 415-425, August.
    19. Bischof, Anja & Salvi, Irene & Kuklinski, David & Vogel, Justus & Geissler, Alexander, 2023. "Design Principles of Clinical Dashboards Incorporating PROMs: Crafting and Elaborating the Potential of Clinical Dashboards Incorporating PROMs," Working Paper Series in Health Economics, Management and Policy 2023-05, University of St.Gallen, School of Medicine, Chair of Health Economics, Policy and Management.
    20. Sarah Derrett & Mike Herdman & Lucky G. Ngwira & Elizabeth Yohe Moore & Jennifer Jelsma, 2021. "A New Approach to Assessing Children’s Interpretation of Severity Qualifiers in a Multi-Attribute Utility Instrument–The EQ-5D-Y-5L: Development and Testing," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 14(5), pages 591-600, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:23:p:12445-:d:688569. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.