Literature DB >> 25948493

Should Health Numeracy Be Assessed Objectively or Subjectively?

James G Dolan1, Olena A Cherkasky1, Qinghua Li2, Nancy Chin1, Peter J Veazie1.   

Abstract

INTRODUCTION: Because current evidence suggests that numeracy affects how people make decisions, it is an important factor to account for in studies assessing the effectiveness of medical decision support interventions. Subjective and objective numeracy assessment methods are available that vary in theoretical background, skills assessed, known relationship with decision making skills, and ease of implementation. The best way to use these tools to assess numeracy when conducting medical decision-making research is currently unknown.
METHODS: We conducted Internet surveys comparing numeracy assessments obtained using the subjective numeracy scale (SNS) and 5 objective numeracy scales. Each study participant completed the SNS and 1 objective numeracy measure. Following each assessment, participants indicated willingness to repeat the assessment and rated its user acceptability.
RESULTS: The overall response rate was 78%, resulting in a total sample size of 673. Spearman correlations between the SNS and the objective numeracy measures ranged from 0.19 to 0.44. Acceptability assessments for the short form of the Numeracy Understanding in Medicine Instrument and the SNS did not differ significantly. The other objective scales all had lower acceptability ratings than the SNS.
CONCLUSIONS: These findings are consistent with prior research suggesting that objective and subjective numeracy scales measure related but distinct constructs. Due to current uncertainty regarding which construct is more likely to influence the effectiveness of decision support interventions, these findings warrant further investigation to determine the proper use of objective versus subjective numeracy assessments in medical decision-making research. Pending additional information, a reasonable approach is to measure both objective and subjective numeracy so that the full range of actual and perceived numeracy skills can be taken into account.
© The Author(s) 2015.

Entities:  

Keywords:  decision aids; informed medical decision making; numeracy; risk communication

Mesh:

Year:  2015        PMID: 25948493      PMCID: PMC4636483          DOI: 10.1177/0272989X15584332

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  20 in total

1.  A definition and operational framework for health numeracy.

Authors:  Amanda L Golbeck; Carolyn R Ahlers-Schmidt; Angelia M Paschal; S Edwards Dismuke
Journal:  Am J Prev Med       Date:  2005-11       Impact factor: 5.043

2.  Development and validation of the General Health Numeracy Test (GHNT).

Authors:  Chandra Y Osborn; Kenneth A Wallston; Adam Shpigel; Kerri Cavanaugh; Sunil Kripalani; Russell L Rothman
Journal:  Patient Educ Couns       Date:  2013-02-21

3.  Development and validation of the numeracy understanding in Medicine Instrument short form.

Authors:  Marilyn M Schapira; Cindy M Walker; Tamara Miller; Kathlyn E Fletcher; Pamela S Ganschow; Elizabeth A Jacobs; Diana Imbert; Maria O'Connell; Joan M Neuner
Journal:  J Health Commun       Date:  2014

4.  Health numeracy: the importance of domain in assessing numeracy.

Authors:  Helen Levy; Peter A Ubel; Amanda J Dillard; David R Weir; Angela Fagerlin
Journal:  Med Decis Making       Date:  2013-07-03       Impact factor: 2.583

5.  The numeracy understanding in medicine instrument: a measure of health numeracy developed using item response theory.

Authors:  Marilyn M Schapira; Cindy M Walker; Kevin J Cappaert; Pamela S Ganschow; Kathlyn E Fletcher; Emily L McGinley; Sam Del Pozo; Carrie Schauer; Sergey Tarima; Elizabeth A Jacobs
Journal:  Med Decis Making       Date:  2012-05-25       Impact factor: 2.583

6.  Short, subjective measures of numeracy and general health literacy in an adult emergency department.

Authors:  Candace McNaughton; Kenneth A Wallston; Russell L Rothman; David E Marcovitz; Alan B Storrow
Journal:  Acad Emerg Med       Date:  2011-11       Impact factor: 3.451

7.  Simple and multistate survival curves: can people learn to use them?

Authors:  Tim Rakow; Rebecca J Wright; Catherine Bull; David J Spiegelhalter
Journal:  Med Decis Making       Date:  2012-06-29       Impact factor: 2.583

Review 8.  Clinical implications of numeracy: theory and practice.

Authors:  Wendy Nelson; Valerie F Reyna; Angela Fagerlin; Isaac Lipkus; Ellen Peters
Journal:  Ann Behav Med       Date:  2008-08-02

9.  Validation of screening questions for limited health literacy in a large VA outpatient population.

Authors:  Lisa D Chew; Joan M Griffin; Melissa R Partin; Siamak Noorbaloochi; Joseph P Grill; Annamay Snyder; Katharine A Bradley; Sean M Nugent; Alisha D Baines; Michelle Vanryn
Journal:  J Gen Intern Med       Date:  2008-03-12       Impact factor: 5.128

10.  Subjective numeracy scale as a tool for assessing statistical numeracy in older adult populations.

Authors:  Jonathan J Rolison; Stacey Wood; Yaniv Hanoch; Pi-Ju Liu
Journal:  Gerontology       Date:  2013-02-06       Impact factor: 5.140

View more
  12 in total

1.  The Feasibility of Sophisticated Multicriteria Support for Clinical Decisions.

Authors:  James G Dolan; Peter J Veazie
Journal:  Med Decis Making       Date:  2017-10-30       Impact factor: 2.583

2.  A Psychological Perspective on Factors Predicting Prophylactic Salpingo-Oophorectomy in a Sample of Italian Women from the General Population. Results from a Hypothetical Study in the Context of BRCA Mutations.

Authors:  Teresa Gavaruzzi; Alessandra Tasso; Marzena Franiuk; Liliana Varesco; Lorella Lotto
Journal:  J Genet Couns       Date:  2017-03-23       Impact factor: 2.537

3.  Numeracy and Understanding of Quantitative Aspects of Predictive Models: A Pilot Study.

Authors:  Gary E Weissman; Kuldeep N Yadav; Vanessa Madden; Katherine R Courtright; Joanna L Hart; David A Asch; Marilyn M Schapira; Scott D Halpern
Journal:  Appl Clin Inform       Date:  2018-08-29       Impact factor: 2.342

4.  Examining the Interrelations Among Objective and Subjective Health Literacy and Numeracy and Their Associations with Health Knowledge.

Authors:  Erika A Waters; Caitlin Biddle; Kimberly A Kaphingst; Elizabeth Schofield; Marc T Kiviniemi; Heather Orom; Yuelin Li; Jennifer L Hay
Journal:  J Gen Intern Med       Date:  2018-08-17       Impact factor: 5.128

5.  Role of Psychosocial Factors and Health Literacy in Pregnant Women's Intention to Use a Decision Aid for Down Syndrome Screening: A Theory-Based Web Survey.

Authors:  Agathe Delanoë; Johanie Lépine; Stéphane Turcotte; Maria Esther Leiva Portocarrero; Hubert Robitaille; Anik Mc Giguère; Brenda J Wilson; Holly O Witteman; Isabelle Lévesque; Laurence Guillaumie; France Légaré
Journal:  J Med Internet Res       Date:  2016-10-28       Impact factor: 5.428

6.  The relationship between low perceived numeracy and cancer knowledge, beliefs, and affect.

Authors:  Katherine Ross; Justin Stoler; Nick Carcioppolo
Journal:  PLoS One       Date:  2018-06-11       Impact factor: 3.240

7.  Let's talk numbers: a qualitative study of community-dwelling US adults to understand the role of numeracy in the management of heart failure.

Authors:  Madeline R Sterling; Ariel F Silva; Laura Robbins; Savira K Dargar; Marilyn M Schapira; Monika M Safford
Journal:  BMJ Open       Date:  2018-09-19       Impact factor: 2.692

8.  Understanding Health Risk Comprehension: The Role of Math Anxiety, Subjective Numeracy, and Objective Numeracy.

Authors:  Jonathan J Rolison; Kinga Morsanyi; Ellen Peters
Journal:  Med Decis Making       Date:  2020-02-13       Impact factor: 2.583

9.  Preferences of Patients and Pharmacists with Regard to the Management of Drug-Drug Interactions: A Choice-Based Conjoint Analysis.

Authors:  Mette Heringa; Annemieke Floor-Schreudering; Hans Wouters; Peter A G M De Smet; Marcel L Bouvy
Journal:  Drug Saf       Date:  2018-02       Impact factor: 5.606

10.  Health numeracy skills of medical students:cross-sectional and controlled before-and-after study.

Authors:  Ivan Buljan; Ružica Tokalić; Matko Marušić; Ana Marušić
Journal:  BMC Med Educ       Date:  2019-12-21       Impact factor: 2.463

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.