Examining Generalizability of Older Adults' Preferences for Discussing Cessation of Screening Colonoscopies in Older Adults with Low Health Literacy.


Journal

Journal of general internal medicine
ISSN: 1525-1497
Titre abrégé: J Gen Intern Med
Pays: United States
ID NLM: 8605834

Informations de publication

Date de publication:
11 2019
Historique:
received: 30 11 2018
accepted: 09 07 2019
revised: 23 04 2019
pubmed: 28 8 2019
medline: 18 11 2020
entrez: 28 8 2019
Statut: ppublish

Résumé

Many older adults receive unnecessary screening colonoscopies. We previously conducted a survey using a national online panel to assess older adults' preferences for how clinicians can discuss stopping screening colonoscopies. We sought to assess the generalizability of those results by comparing them to a sample of older adults with low health literacy. Cross-sectional survey. Baltimore metropolitan area (low health literacy sample) and a national, probability-based online panel-KnowledgePanel (national sample). Adults 65+ with low health literacy measured using a single-question screen (low health literacy sample, n = 113) and KnowledgePanel members 65+ who completed survey about colorectal cancer screening (national sample, n = 441). The same survey was administered to both groups. Using the best-worst scaling method, we assessed relative preferences for 13 different ways to explain stopping screening colonoscopies. We used conditional logistic regression to quantify the relative preference for each explanation, where a higher preference weight indicates stronger preference. We analyzed each sample separately, then compared the two samples using Spearman's correlation coefficient, the likelihood ratio test to assess for overall differences between the two sets of preference weights, and the Wald test to assess differences in preference weights for each individual phrases. The responses from the two samples were highly correlated (Spearman's coefficient 0.92, p < 0.0001). The most preferred phrase to explain stopping screening colonoscopy was "Your other health issues should take priority" in both groups. The three least preferred options were also the same for both groups, with the least preferred being "The doctor does not give an explanation." The explanation that referred to "quality of life" was more preferred by the low health literacy group whereas explanations that mentioned "unlikely to benefit" and "high risk for harms" were more preferred by the national survey group (all p < 0.001). Among two different populations of older adults with different health literacy levels, the preferred strategies for clinicians to discuss stopping screening colonoscopies were highly correlated. Our results can inform effective communication about stopping screening colonoscopies in older adults across different health literacy levels.

Sections du résumé

BACKGROUND/OBJECTIVES
Many older adults receive unnecessary screening colonoscopies. We previously conducted a survey using a national online panel to assess older adults' preferences for how clinicians can discuss stopping screening colonoscopies. We sought to assess the generalizability of those results by comparing them to a sample of older adults with low health literacy.
DESIGN
Cross-sectional survey.
SETTING
Baltimore metropolitan area (low health literacy sample) and a national, probability-based online panel-KnowledgePanel (national sample).
PARTICIPANTS
Adults 65+ with low health literacy measured using a single-question screen (low health literacy sample, n = 113) and KnowledgePanel members 65+ who completed survey about colorectal cancer screening (national sample, n = 441).
MEASUREMENTS
The same survey was administered to both groups. Using the best-worst scaling method, we assessed relative preferences for 13 different ways to explain stopping screening colonoscopies. We used conditional logistic regression to quantify the relative preference for each explanation, where a higher preference weight indicates stronger preference. We analyzed each sample separately, then compared the two samples using Spearman's correlation coefficient, the likelihood ratio test to assess for overall differences between the two sets of preference weights, and the Wald test to assess differences in preference weights for each individual phrases.
RESULTS
The responses from the two samples were highly correlated (Spearman's coefficient 0.92, p < 0.0001). The most preferred phrase to explain stopping screening colonoscopy was "Your other health issues should take priority" in both groups. The three least preferred options were also the same for both groups, with the least preferred being "The doctor does not give an explanation." The explanation that referred to "quality of life" was more preferred by the low health literacy group whereas explanations that mentioned "unlikely to benefit" and "high risk for harms" were more preferred by the national survey group (all p < 0.001).
CONCLUSION
Among two different populations of older adults with different health literacy levels, the preferred strategies for clinicians to discuss stopping screening colonoscopies were highly correlated. Our results can inform effective communication about stopping screening colonoscopies in older adults across different health literacy levels.

Identifiants

pubmed: 31452029
doi: 10.1007/s11606-019-05258-2
pii: 10.1007/s11606-019-05258-2
pmc: PMC6848333
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2512-2519

Subventions

Organisme : NIA NIH HHS
ID : K76 AG059984
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG021334
Pays : United States
Organisme : NIA NIH HHS
ID : R03 AG050912
Pays : United States

Références

Value Health. 2016 Jun;19(4):300-15
pubmed: 27325321
Am J Prev Med. 2004 Jan;26(1):56-66
pubmed: 14700714
J Gen Intern Med. 2004 Dec;19(12):1228-39
pubmed: 15610334
J Gen Intern Med. 2006 Aug;21(8):874-7
pubmed: 16881950
Cancer. 2012 Nov 15;118(22):5518-24
pubmed: 22517310
JAMA. 2001 Jun 6;285(21):2750-6
pubmed: 11386931
Patient. 2018 Oct;11(5):475-488
pubmed: 29492903
JAMA. 2016 Jun 21;315(23):2576-94
pubmed: 27305422
J Cancer Educ. 2011 Jun;26(2):285-93
pubmed: 20640779
JAMA Intern Med. 2016 May 1;176(5):671-8
pubmed: 27064895
Pharmacoeconomics. 2016 Dec;34(12):1195-1209
pubmed: 27402349
Health Expect. 2015 Dec;18(6):3123-35
pubmed: 25382490
Ann Intern Med. 2013 May 21;158(10):761-769
pubmed: 23567643
J Gen Intern Med. 2015 Jun;30(6):732-41
pubmed: 25605531
Maturitas. 2015 Aug;81(4):432-8
pubmed: 26044073
Acad Pediatr. 2012 Mar-Apr;12(2):117-24
pubmed: 22321814
JAMA. 2013 Mar 6;309(9):874-6
pubmed: 23462780
Am J Gastroenterol. 2017 Jul;112(7):1016-1030
pubmed: 28555630
BMC Geriatr. 2007 Nov 16;7:26
pubmed: 18021402
Ann Intern Med. 2011 Jul 19;155(2):97-107
pubmed: 21768583
JAMA Intern Med. 2013 Apr 8;173(7):526-31
pubmed: 23478883
Ann Intern Med. 2015 May 19;162(10):712-7
pubmed: 25984846
J Gen Intern Med. 2013 Feb;28(2):292-8
pubmed: 23054920
JAMA Intern Med. 2014 Oct;174(10):1558-65
pubmed: 25133746
J Am Geriatr Soc. 2015 Apr;63(4):750-6
pubmed: 25900488
Health Qual Life Outcomes. 2017 Jul 6;15(1):137
pubmed: 28683743
Ann Intern Med. 2016 Jun 21;164(12):836-45
pubmed: 27064677
JAMA Netw Open. 2018 Dec 7;1(8):e185461
pubmed: 30646275
J Gen Intern Med. 2013 Mar;28(3):444-52
pubmed: 23065575
J Urol. 2013 Aug;190(2):419-26
pubmed: 23659877
JAMA Intern Med. 2017 Aug 1;177(8):1121-1128
pubmed: 28604917
BMC Geriatr. 2006 Aug 03;6:10
pubmed: 16887040
J Am Geriatr Soc. 2016 Nov;64(11):e221-e223
pubmed: 27627186
Ann Intern Med. 2014 Jul 15;161(2):104-12
pubmed: 25023249
Clin Diabetes. 2017 Jan;35(1):5-26
pubmed: 28144042
BMJ. 2013 Jan 08;346:e8441
pubmed: 23299842
Med Care. 2002 Sep;40(9):771-81
pubmed: 12218768
BMC Health Serv Res. 2014 Jul 27;14:321
pubmed: 25064372
JAMA. 2015 Oct 20;314(15):1599-614
pubmed: 26501536
JAMA Oncol. 2018 Aug 1;4(8):1126-1128
pubmed: 29955796
J Health Econ. 2007 Jan;26(1):171-89
pubmed: 16707175
J Gen Intern Med. 2015 Oct;30(10):1497-504
pubmed: 25933625
Ann Fam Med. 2016 Jul;14(4):359-64
pubmed: 27401425
Med Decis Making. 2015 Nov;35(8):932-6
pubmed: 25878195
Ann Intern Med. 2012 Mar 6;156(5):378-86
pubmed: 22393133
J Gen Intern Med. 2006 Sep;21(9):979-85
pubmed: 16918745

Auteurs

Nancy L Schoenborn (NL)

The Johns Hopkins University School of Medicine, Baltimore, MD, USA. nancyli@jhmi.edu.

Norah L Crossnohere (NL)

The Johns Hopkins University School of Public Health, Baltimore, MD, USA.
Department of Biomedical Informatics, Ohio State University, Columbus, OH, USA.

Ellen M Janssen (EM)

Center for Medical Technology Policy, Baltimore, MD, USA.

Craig E Pollack (CE)

The Johns Hopkins University School of Public Health, Baltimore, MD, USA.

Cynthia M Boyd (CM)

The Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Antonio C Wolff (AC)

The Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Qian-Li Xue (QL)

The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
The Johns Hopkins University School of Public Health, Baltimore, MD, USA.

Jacqueline Massare (J)

The Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Marcela Blinka (M)

The Johns Hopkins University School of Medicine, Baltimore, MD, USA.

John F P Bridges (JFP)

Department of Biomedical Informatics, Ohio State University, Columbus, OH, USA.

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