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BMC Nephrology
Published in: BMC Nephrology 1/2017

Open Access 01-12-2017 | Research article

Exploring the use of tablet computer-based electronic data capture system to assess patient reported measures among patients with chronic kidney disease: a pilot study

Authors: Dorothy Wong, Shen Cao, Heather Ford, Candice Richardson, Dmitri Belenko, Evan Tang, Luca Ugenti, Eleanor Warsmann, Amanda Sissons, Yalinie Kulandaivelu, Nathaniel Edwards, Marta Novak, Madeline Li, Istvan Mucsi

Published in: BMC Nephrology | Issue 1/2017

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Abstract

Background

Collecting patient reported outcome measures (PROMs) via computer-based electronic data capture system may improve feasibility and facilitate implementation in clinical care. We report our initial experience about the acceptability of touch-screen tablet computer-based, self-administered questionnaires among patients with chronic kidney disease (CKD), including stage 5 CKD treated with renal replacement therapies (RRT) (either dialysis or transplant).

Methods

We enrolled a convenience sample of patients with stage 4 and 5 CKD (including patients on dialysis or after kidney transplant) in a single-centre, cross-sectional pilot study. Participants completed validated questionnaires programmed on an electronic data capture system (DADOS, Techna Inc., Toronto) on tablet computers. The primary objective was to evaluate the acceptability and feasibility of using tablet-based electronic data capture in patients with CKD. Descriptive statistics, Fischer’s exact test and multivariable logistic regression models were used for data analysis.

Results

One hundred and twenty one patients (55% male, mean age (± SD) of 58 (±14) years, 49% Caucasian) participated in the study. Ninety-two percent of the respondents indicated that the computer tablet was acceptable and 79% of the participants required no or minimal help for completing the questionnaires. Acceptance of tablets was lower among patients 70 years or older (75% vs. 95%; p = 0.011) and with little previous computer experience (81% vs. 96%; p = 0.05). Furthermore, a greater level of assistance was more frequently required by patients who were older (45% vs. 15%; p = 0.009), had lower level of education (33% vs. 14%; p = 0.027), low health literacy (79% vs. 12%; p = 0.027), and little previous experience with computers (52% vs. 10%; p = 0.027).

Conclusions

Tablet computer-based electronic data capture to administer PROMs was acceptable and feasible for most respondents and could therefore be used to systematically assess PROMs among patients with CKD. Special consideration should focus on elderly patients with little previous computer experience, since they may require more assistance with completion.
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Literature
1.
Devins GM. Using the illness intrusiveness ratings scale to understand health-related quality of life in chronic disease. J Psychosom Res. 2010;68(6):591–602.CrossRefPubMed
2.
Cukor D, Coplan J, Brown C, Friedman S, Cromwell-Smith A, Peterson RA, Kimmel PL. Depression and anxiety in urban hemodialysis patients. Clin J Am Soc Nephrol. 2007;2(3):484–90.CrossRefPubMed
3.
Cukor D, Coplan J, Brown C, Peterson RA, Kimmel PL. Course of depression and anxiety diagnosis in patients treated with hemodialysis: a 16-month follow-up. Clin J Am Soc Nephrol. 2008;3(6):1752–8.CrossRefPubMedPubMedCentral
4.
Hedayati SS, Bosworth HB, Kuchibhatla M, Kimmel PL, Szczech LA. The predictive value of self-report scales compared with physician diagnosis of depression in hemodialysis patients. Kidney Int. 2006;69(9):1662–8.CrossRefPubMed
5.
Young BA, Von Korff M, Heckbert SR, Ludman EJ, Rutter C, Lin EHB, Ciechanowski PS, Oliver M, Williams L, Himmelfarb J. Association of major depression and mortality in stage 5 diabetic chronic kidney disease. Gen Hosp Psychiatry. 2010;32(2):119–24.CrossRefPubMedPubMedCentral
6.
Palmer SC, Vecchio M, Craig JC, Tonelli M, Johnson DW, Nicolucci A, Pellegrini F, Saglimbene V, Logroscino G, Hedayati SS. Association between depression and death in people with CKD: a meta-analysis of cohort studies. Am J Kidney Dis. 2013;62(3):493–505.CrossRefPubMed
7.
Kimmel PL, Cukor D, Cohen SD, Peterson RA. Depression in end-stage renal disease patients: a critical review. Adv Chronic Kidney Dis. 2007;14(4):328–34.CrossRefPubMed
8.
Novak M, Molnar MZ, Szeifert L, Kovacs AZ, Vamos EP, Zoller R, Keszei A, Mucsi I. Depressive symptoms and mortality in patients after kidney transplantation: a prospective prevalent cohort study. Psychosom Med. 2010;72(6):527–34.CrossRefPubMed
9.
Zalai D, Szeifert L, Novak M: Psychological distress and depression in patients with chronic kidney disease. In: 2012: Wiley Online Library: 428–438.
10.
Novak M, Mucsi I, Mendelssohn DC. Screening for depression: only one piece of the puzzle. Nephrol Dial Transplant. 2013;28(6):1336–40.CrossRefPubMed
11.
Hedayati SS, Yalamanchili V, Finkelstein FO. A practical approach to the treatment of depression in patients with chronic kidney disease and end-stage renal disease. Kidney Int. 2012;81(3):247–55.CrossRefPubMed
12.
Snyder CF, Aaronson NK. Use of patient-reported outcomes in clinical practice. Lancet. 2009;374(9687):369–70.CrossRefPubMed
13.
Eton DT, Fairclough DL, Cella D, Yount SE, Bonomi P, Johnson DH, Eastern Cooperative Oncology G. Early change in patient-reported health during lung cancer chemotherapy predicts clinical outcomes beyond those predicted by baseline report: results from eastern cooperative oncology group study 5592. J Clin Oncol. 2003;21(8):1536–43.CrossRefPubMed
14.
Gotay CC, Kawamoto CT, Bottomley A, Efficace F. The prognostic significance of patient-reported outcomes in cancer clinical trials. J Clin Oncol. 2008;26(8):1355–63.CrossRefPubMed
15.
Molnar-Varga M, Molnar MZ, Szeifert L, Kovacs AZ, Kelemen A, Becze A, Laszlo G, Szentkiralyi A, Czira ME, Mucsi I et al. Health-Related Quality of Life and Clinical Outcomes in Kidney Transplant Recipients. Am J Kidney Dis. 2011;58(3):444-52.
16.
Bagha SM, Macedo A, Jacks LM, Lo C, Zimmermann C, Rodin G, Li M. The utility of the Edmonton symptom assessment system in screening for anxiety and depression. Eur J Cancer Care. 2013;22(1):60–9.CrossRef
17.
Watanabe SM, Nekolaichuk C, Beaumont C, Johnson L, Myers J, Strasser F. A multicenter study comparing two numerical versions of the Edmonton symptom assessment system in palliative care patients. J Pain Symptom Manag. 2011;41(2):456–68.CrossRef
18.
Devins GM, Mandin H, Hons RB, Burgess ED, Klassen J, Taub K, Schorr S, Letourneau PK, Buckle S. Illness intrusiveness and quality of life in end-stage renal disease: comparison and stability across treatment modalities. Health Psychol. 1990;9(2):117–42.CrossRefPubMed
19.
Devins GM. Illness intrusiveness and the psychosocial impact of lifestyle disruptions in chronic life-threatening disease. Adv Ren Replace Ther. 1994;1(3):251–63.CrossRefPubMed
20.
Devins GM, Edworthy SM, Paul LC, Mandin H, Seland TP, Klein G, Costello CG, Shapiro CM. Restless sleep, illness intrusiveness, and depressive symptoms in three chronic illness conditions: rheumatoid arthritis, end-stage renal disease, and multiple sclerosis. J Psychosom Res. 1993;37(2):163–70.CrossRefPubMed
21.
Novak M, Mah K, Molnar MZ, Ambrus C, Csepanyi G, Kovacs A, Vamos E, Zambo M, Zoller R, Mucsi I, et al. Factor structure and reliability of the Hungarian version of the illness intrusiveness ratings scale invariance across north American and Hungarian dialysis patients. J Psychosom Res. 2005;58(1):103–10.CrossRefPubMed
22.
Hall KL, Robbins ML, Paiva A, Knott JE, Harris L, Mattice B. Donation intentions among African American college students: decisional balance and self-efficacy measures. J Behav Med. 2007;30(6):483–95.CrossRefPubMed
23.
Prochaska JO, DiClemente CC. Stages and processes of self-change of smoking: toward an integrative model of change. J Consult Clin Psychol. 1983;51:390.CrossRefPubMed
24.
Waterman AD, Rodrigue JR, Purnell TS, Ladin K, Boulware LE. Addressing racial and ethnic disparities in live donor kidney transplantation: priorities for research and intervention. Semin Nephrol. 2010;30(1):90–8.CrossRefPubMedPubMedCentral
25.
Waterman AD, Dew MA, Davis CL, McCabe M, Wainright JL, Forland CL, Bolton L, Cooper M. Living-donor follow-up attitudes and practices in U.S. kidney and liver donor programs. Transplantation. 2013;95(6):883–8.CrossRefPubMed
26.
Wright EP, Kiely M, Johnston C, Smith AB, Cull A, Selby PJ. Development and evaluation of an instrument to assess social difficulties in routine oncology practice. Qual Life Res. 2005;14(2):373–86.CrossRefPubMed
27.
Wei M, Russell DW, Mallinckrodt B, Vogel DL. The experiences in close relationship scale (ECR)-short form: reliability, validity, and factor structure. J Pers Assess. 2007;88(2):187–204.CrossRefPubMed
28.
Haggerty G, Hilsenroth MJ, Vala-Stewart R. Attachment and interpersonal distress: examining the relationship between attachment styles and interpersonal problems in a clinical population. Clin. Psychol. Psychother. 2009;16(1):1–9.CrossRefPubMed
29.
Ravitz P, Maunder R, Hunter J, Sthankiya B, Lancee W. Adult attachment measures: a 25-year review. J Psychosom Res. 2010;69(4):419–32.CrossRefPubMed
30.
Bartholomew K, Horowitz LM. Attachment styles among young adults: a test of a four-category model. J Pers Soc Psychol. 1991;61(2):226–44.CrossRefPubMed
31.
Fowler JC, Groat M, Ulanday M. Attachment style and treatment completion among psychiatric inpatients with substance use disorders. Am J Addict. 2013;22(1):14–7.CrossRefPubMed
32.
Sherbourne CD, Stewart AL: Medical Outcomes Study Social Support Survey. In.; 1991.
33.
34.
Spitzer RL, Williams JB, Kroenke K, Hornyak R, McMurray J. Validity and utility of the PRIME-MD patient health questionnaire in assessment of 3000 obstetric-gynecologic patients: the PRIME-MD patient health questionnaire obstetrics-gynecology study. Am J Obstet Gynecol. 2000;183(3):759–69.CrossRefPubMed
35.
Spitzer RL, Kroenke K, Williams JBW, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006;166(10):1092–7.CrossRefPubMed
36.
Mapes DL, Bragg-Gresham JL, Bommer J, Fukuhara S, McKevitt P, Wikström B, Lopes AA. Health-related quality of life in the dialysis outcomes and practice patterns study (DOPPS). Am. J. Kidney Dis. 2004;44(5 Suppl 2):54–60.CrossRefPubMed
37.
Gorodetskaya I, Zenios S, McCulloch CE, Bostrom A, Hsu C-Y, Bindman AB, Go AS, Chertow GM. Health-related quality of life and estimates of utility in chronic kidney disease. Kidney Int. 2005;68(6):2801–8.CrossRefPubMed
38.
Kalantar-Zadeh K, Unruh M. Health related quality of life in patients with chronic kidney disease. Int Urol Nephrol. 2005;37(2):367–78.CrossRefPubMed
39.
Abernethy AP, Ahmad A, Zafar SY, Wheeler JL, Reese JB, Lyerly HK. Electronic patient-reported data capture as a foundation of rapid learning cancer care. Med Care. 2010;48(6 Suppl):S32–8.CrossRefPubMed
40.
Chang Y-J, Chang C-H, Peng C-L, Wu H-C, Lin H-C, Wang J-Y, Li T-C, Yeh Y-C, Liang W-M. Measurement equivalence and feasibility of the EORTC QLQ-PR25: paper-and-pencil versus touch-screen administration. Health Qual Life Outcomes. 2014;12:23.CrossRefPubMedPubMedCentral
41.
Holzner B, Giesinger JM, Pinggera J, Zugal S, Schöpf F, Oberguggenberger AS, Gamper EM, Zabernigg A, Weber B, Rumpold G. The computer-based health evaluation software (CHES): a software for electronic patient-reported outcome monitoring. BMC Med. Inform. Decis. Mak. 2012;12:126.CrossRefPubMedPubMedCentral
42.
Bennett AV, Jensen RE, Basch E. Electronic patient-reported outcome systems in oncology clinical practice. CA Cancer J Clin. 2012;62(5):337–47.CrossRefPubMed
43.
Snyder CF, Aaronson NK, Choucair AK, Elliott TE, Greenhalgh J, Halyard MY, Hess R, Miller DM, Reeve BB, Santana M. Implementing patient-reported outcomes assessment in clinical practice: a review of the options and considerations. Qual Life Res. 2012;21(8):1305–14.CrossRefPubMed
44.
Smith SK, Rowe K, Abernethy AP. Use of an electronic patient-reported outcome measurement system to improve distress management in oncology. Palliat Support Care. 2014;12(01):69–73.CrossRefPubMed
45.
Dupont A, Wheeler J, Herndon JE, Coan A, Zafar SY, Hood L, Patwardhan M, Shaw HS, Lyerly HK, Abernethy AP. Use of tablet personal computers for sensitive patient-reported information. J Support Oncol. 2009;7(3):91–7.PubMed
46.
Espallargues M, Valderas JM, Alonso J. Provision of feedback on perceived health status to health care professionals: a systematic review of its impact. Med Care. 2000;38(2):175–86.CrossRefPubMed
47.
Schick-Makaroff K, Molzahn A. Brief communication: patient satisfaction with the use of tablet computers: a pilot study in two outpatient home dialysis clinics. Can. J. Kidney Health Dis. 2014;1(1):22.CrossRefPubMedPubMedCentral
48.
Schick-Makaroff K, Molzahn A. Strategies to use tablet computers for collection of electronic patient-reported outcomes. Health Qual Life Outcomes. 2015;13:2.CrossRefPubMedPubMedCentral
49.
Li M, Macedo A, Crawford S, Bagha S, Leung YW, Zimmermann C, Fitzgerald B, Wyatt M, Stuart-McEwan T, Rodin G. Easier said than done: keys to successful implementation of the distress assessment and response tool (DART) program. J. Oncol. Pract. 2016;12(5):e513–26.CrossRefPubMed
50.
Ashbury FD, Findlay H, Reynolds B, McKerracher K. A Canadian survey of cancer patients’ experiences. J Pain Symptom Manag. 1998;16(5):298–306.CrossRef
51.
Dageforde LA, Petersen AW, Feurer ID, Cavanaugh KL, Harms KA, Ehrenfeld JM, Moore DE. Health literacy of living kidney donors and kidney transplant recipients. Transplantation. 2014;98(1):88.CrossRefPubMedPubMedCentral
52.
Firth D. Bias reduction of maximum likelihood estimates. Biometrika. 1993;80:27–38.CrossRef
53.
Harrington DM, Myers L, Eisenman K, Bhise V, Nayak KS, Rosner MH. The use of a tablet computer platform to optimize the care of patients receiving peritoneal dialysis: a pilot study. Blood Purif. 2014;37(4):311–5.CrossRefPubMed
54.
Dowell SA, Welch JL. Use of electronic self-monitoring for food and fluid intake: a pilot study. Nephrol Nurs J. 2006;33(3):271–7.PubMed
55.
Cella D, Riley W, Stone A, Rothrock N, Reeve B, Yount S, Amtmann D, Bode R, Buysse D, Choi S, et al. The patient-reported outcomes measurement information system (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005-2008. J Clin Epidemiol. 2010;63(11):1179–94.CrossRefPubMedPubMedCentral
Metadata
Title
Exploring the use of tablet computer-based electronic data capture system to assess patient reported measures among patients with chronic kidney disease: a pilot study
Authors
Dorothy Wong
Shen Cao
Heather Ford
Candice Richardson
Dmitri Belenko
Evan Tang
Luca Ugenti
Eleanor Warsmann
Amanda Sissons
Yalinie Kulandaivelu
Nathaniel Edwards
Marta Novak
Madeline Li
Istvan Mucsi
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BMC Nephrology / Issue 1/2017
Electronic ISSN: 1471-2369
DOI
https://doi.org/10.1186/s12882-017-0771-7

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