Skip to main content

Advertisement

We’d like to understand how you use our websites in order to improve them. Register your interest.
Download PDF

The WISHED Trial: implementation of an interactive health communication application for patients with chronic kidney disease

Canadian Journal of Kidney Health and Disease volume 3, Article number: 29 (2016) Cite this article

Abstract

Background

Despite many advantages over facility-based therapies, less than 25 % of prevalent dialysis patients in Ontario are on a home therapy. Interactive health communication applications, web-based packages for patients, have been shown to have a beneficial effect on knowledge, social support, self-efficacy, and behavioral and clinical outcomes but have not been evaluated in patients with chronic kidney disease (CKD). Web-based tools designed for patients with CKD exist but to our knowledge have not been assessed in their ability to influence dialysis modality decision-making.

Objective

To determine if a web-based tool increases utilization of a home-based therapy in patients with CKD starting dialysis.

Design

This is a multi-centered randomized controlled study.

Setting

Participants will be recruited from sites in Canada.

Participants

Two hundred and sixty-four consenting patients with an estimated glomerular filtration rate (eGFR) less than 20 ml/min/1.73 m2 who have received modality education will be enrolled in the study.

Measurements

The primary outcome will be the proportion of participants who are on dialysis using a home-based therapy within 3 months of dialysis initiation. Secondary outcomes will include the proportion of patients intending to perform a home-based modality and measures of dialysis knowledge, decision conflict, and social support.

Methods

The between-group differences in frequencies will be expressed as either absolute risk differences and/or by calculating the odds ratio and its associated 95 % confidence interval.

Conclusions

This study will assess whether access to a website dedicated to supporting and promoting home-based dialysis therapies will increase the proportion of patients with CKD who initiate a home-based dialysis therapy.

Trial registration

ClinicalTrials.gov #NCT01403454, registration date: July 21, 2011.

Abrégé

Mise en contexte

L’administration de traitements d’hémodialyse à domicile présente plusieurs avantages par rapport aux traitements offerts en centre hospitalier. Pourtant, moins de 25 % des patients Ontariens suivent leurs traitements de dialyse à domicile. Bien que l’accès à des outils interactifs de communication en santé (OICS) ait des effets bénéfiques sur le niveau de connaissances, le soutien social, le niveau d’autonomie ainsi que sur les résultats cliniques et comportementaux des patients qui les utilisent, ces outils n’ont jamais fait l’objet d’études chez les patients atteints d’insuffisance rénale chronique (IRC). Des OICS existent pour cette population, mais on ne connaît pas leur part d’influence au moment où le patient doit faire le choix d’une technique de dialyse.

Objectifs de l’étude

Par cette étude, on entend vérifier si l’accès à des outils sur le web augmentera le nombre de patients atteints d’IRC en amorce d’une dialyse qui choisiront d’effectuer leurs traitements à domicile.

Cadre et type d’étude

Il s’agit d’un essai contrôlé, randomisé, qui se tiendra dans plusieurs centres hospitaliers à travers le Canada.

Participants

La cohorte sera constituée de 264 patients atteints d’IRC dont le taux de filtration glomérulaire se situe à moins de 20 ml/min/1, 73 m2. Les participants auront suivi une séance d’orientation pour les aider à naviguer dans les différents outils mis à leur disposition sur le web.

Mesures

À titre de résultat principal, on établira la proportion de patients qui auront adhéré à la technique de dialyse à domicile au cours des trois mois suivant l’initiation du traitement. On cherchera ensuite à connaître la proportion de patients ayant l’intention de le faire au courant de la première année de traitement. De plus, on procèdera à l’évaluation des connaissances et de la capacité des patients de prendre des décisions concernant leur traitement, ainsi que du soutien social qu’ils reçoivent.

Méthodologie

Les différences entre les groupes d’étude seront exprimées soit sur le plan du risque absolu ou en calculant les rapports de cotes et les intervalles de confiance à 95 % correspondants.

Conclusion

Cette étude évaluera si l’accès à un site web consacré au soutien social des patients et à la promotion des traitements de dialyse à domicile augmentera la proportion de patients souffrant d’IRC qui choisiront cette option pour l’amorce de leur traitement.

What was known before

Interactive health communication applications are web-based tools that provide health information, social, decisional, and/or behavioral change support. A web-based tool that promotes the use of a home-based dialysis therapy has not been formally evaluated in patients with advanced chronic kidney disease (CKD).

What this adds

This study will determine whether a web-based tool designed to promote home-based dialysis will increase its utilization in incident patients.

Background

In a person-centered care model, patients with advanced chronic kidney disease (CKD) are provided with the necessary tools and information to select the type of dialysis therapy for which they are best suited. Many programs utilize a specially trained nurse to provide modality education to patients with more advanced CKD (i.e., estimated glomerular filtration rate [eGFR] less than 20 ml/min/1.73 m2). There are several modality choices for patients approaching end-stage renal disease (ESRD); these include peritoneal dialysis (PD), a home therapy, or hemodialysis (HD), which either can be at home (HHD) or performed in a facility. In Ontario, Canada, the provincial renal agency’s target for the home dialysis prevalence rate is 40 %, in contrast to the current provincial prevalence of 24 % [1].

Home dialysis offers many advantages over facility-based HD for patients. Home dialysis provides patients with scheduling flexibility which is rarely possible in facility-based HD. PD patients in particular have more freedom to travel and usually enjoy a less restrictive diet with respect to potassium than facility-based HD [2, 3]. Most observational studies suggest that home dialysis patients enjoy better scores in many quality of life domains, particularly treatment satisfaction and therapy intrusiveness [4–6], although some studies have not seen such a difference [7–9]. Home-based dialysis is also beneficial from the payer perspective; overall, healthcare costs are reduced by as much as US$20,000 per patient-year [10–12].

Numerous barriers to initiation of home-based therapies have been described, including provider beliefs, practices, and lack of adequate patient and provider education [13]. In addition to these systemic barriers to home dialysis, many barriers exist at the patient level, including lack of self-efficacy and confidence in performing the therapy, burden on family members, and fear of a catastrophic event [14–18]. Information gaps despite education being provided by care providers may lead to increased decisional uncertainty and conflict, particularly in an era when home-based therapies are being more actively encouraged. On the other hand, medical contraindication to a home therapy is uncommon; in one study, only 11 % of patients had a medical contraindication [18].

Interactive health communication applications (IHCAs) are computer-based packages for patients which are usually web-based and in addition to providing health information offer some form of social, decisional, and/or behavioral change support [19]. IHCAs facilitate the transfer of information and enable informed decision-making as well as the promotion of healthy behaviors and choices, peer information exchange and support, and self-care. A systematic review of IHCAs developed for individuals with chronic diseases such as diabetes mellitus (DM) and asthma identified 24 randomized controlled trials involving 3739 participants. IHCAs had a beneficial effect on knowledge, social support, self-efficacy, and behavioral and clinical outcomes [19]. Websites designed for patients with CKD who must make decisions regarding treatment options exist but to our knowledge have not been formally evaluated.

The primary objective therefore of this study is to determine if utilization of a website dedicated to the promotion of home-based dialysis will increase the proportion of patients who initiate dialysis using a home-based modality.

Methods/design

Study design and randomization

The study is a multi-centered randomized controlled trial comparing the use of a secured web-based IHCA (website www.independentdialysis.ca) versus usual care in the promotion of home-based dialysis therapies. A participant flow diagram is shown in Fig. 1. Randomization is performed using a computer-generated sequence in variable blocks, stratified by site and allocation occurring using sequentially numbered sealed opaque envelopes. Each study participant will be assigned a unique number. The information about randomization sequence and block size will be kept confidential.

Fig. 1
figure1

Flow of participants in the study

Full size image

Setting

The intervention is currently taking place in three multidisciplinary CKD clinic sites in Ontario. Additional sites will be approached to participate as needed to achieve recruitment objectives. Each of the three sites is an academic regional referral center for patients for nephrology services including management of CKD, dialysis, and renal transplantation patients. There are currently about 2300 patients registered in multidisciplinary CKD clinics across the three sites. The study has been approved at each of the local institutional research ethics boards [Hamilton Integrated Research Ethics Board (HIREB)].

Participants

All eligible participants are identified by the local CKD clinic electronic database and screened for eligibility by CKD nurses in the circle of care. All eligible participants are then approached and asked if they are interested in speaking to research staff about the study. Consented participants are then randomized into one of two study arms: (1) usual care or (2) the IHCA. The participant inclusion and exclusion criteria are shown in Table 1.

Table 1 Patient inclusion and exclusion criteria
Full size table

Intervention

Participants in both the usual care and IHCA arms continue to be seen in the CKD clinic as part of usual care. Participants randomized to the IHCA arm will be logged in to the website during the randomization visit and provided an orientation session to familiarize them with the website. They are asked to generate their own password and encouraged to log on to the website regularly. Email reminders to log-in are sent periodically and the frequency of participants’ visits monitored. The website was developed with a view to ensure easy navigation for participants, while providing content that encompasses informational and social support to reduce conflict and uncertainty in ESRD therapy decision-making. The informational support component of the website includes a section for Frequently Asked Questions, demonstration videos, and still photographs of equipment, as well as pre-recorded video interviews with local experts and existing patients. Updated information will continue to be added by a variety of content-expert healthcare professionals as it comes available. The social support component of the website will include video and text narratives of patients addressing the benefits and challenges of home dialysis, and a moderated forum for participants to discuss issues surrounding home dialysis with current home dialysis patients. Participants will also have the opportunity to email “experts,” including nephrologists, nurses, and existing home dialysis patients with any questions they may have. The available resources are available to all participants randomized to the intervention group, regardless of their intended modality.

Outcomes

The primary outcome is the proportion of participants who receive any dialysis using a home-based therapy (PD or HHD) within 3 months of dialysis initiation. Participants that do not start dialysis or who receive a pre-emptive transplantation at study close will be regarded as non-home-based dialysis outcomes. Participants for which a modality cannot be ascertained will be considered non-home dialysis outcomes. Secondary outcomes include (1) proportion of patients intending to perform a home-based dialysis at 1 year, (2) dialysis knowledge as measured using a locally developed assessment tool (available online as Additional file 1), (3) decision conflict measured using the Decisional Conflict Scale [20], and (4) level of social support measured with the Duke-UNC Functional Social Support Questionnaire [21]. All of the above outcomes will be measured at baseline and 6 and 12 months post intervention.

Statistical considerations

In all analyses, participants randomized will be analyzed according to the group to which they were allocated. All ratios and differences will be calculated as the experimental group compared to the control group. These analyses may be modified in the final statistical analysis plan at any time prior to the investigators accessing the study data in an unblinded fashion. The between-group differences in frequencies will be expressed as either absolute risk differences and their associated 95 % confidence intervals and/or by calculating the odds ratio and its associated 95 % confidence interval (exact binomial method). The between-group differences in continuous variables between groups will be assessed using repeated measures analyses. Sensitivity analyses will be performed by assessing the treatment effect after adjusting for baseline risk factors of known or highly suspected association with modality choice. These factors will include age, sex, diabetes mellitus status, socioeconomic strata, availability of a caregiver, presence of cognitive impairment (assessed by the Montreal Cognitive Assessment (MoCA) score [22], frailty [23], health literacy [24], and other comorbidities. To avoid model over-fitting, we will include only an appropriate number of variables (no more than one per 12 home-based dialysis events) and include them in the order in which they are written above. A two-sided p value of <0.05 will be regarded as significant without adjustment for multiple comparisons. The baseline probability of selecting home-based dialysis is assumed to be 28 % based on local data. Assuming an alpha value of 0.05, and 80 % power to detect a 22 % absolute difference between the intervention and usual care groups in the proportion of participants starting home-based dialysis, it is estimated that 152 participants would need to initiate dialysis to detect a significant difference between groups. Based on analysis of historical local clinic data on transition rates to ESRD therapies, it is anticipated that 264 participants will need to be recruited and followed for at least 1 year to achieve the required number of events. This recruitment target will be re-evaluated periodically and adjusted as needed based on differences between projected and when actual dialysis starts relative to the total number of recruited participants.

Discussion

Patients with advanced CKD face what can be an overwhelming decision regarding their ultimate choice of dialysis modality. Home-based modalities are less costly and may provide a better quality of life for most patients. However, many Ontario programs are struggling to meet the provincial target of a 40 % home dialysis prevalence rate. Similar struggles have been noted in other jurisdictions. The objective of this intervention is to provide a supportive environment that is meant to encourage and support a decision to choose a home-based modality for patients with advanced CKD using a variety of methods, including informational, decisional, and social support utilizing an IHCA as a framework. This study will also evaluate whether such a tool has an effect on participants’ knowledge, sense of social support, and perceived decisional conflict. The findings from this study will help to inform whether such a tool would be effective in encouraging the use of home-based modalities in this population. The study will have the potential to expand on which, if any, baseline patient factors predict utilization of home-based modalities. From a payer perspective, more than 10,000 patients are on dialysis in Ontario of which the majority is using facility-based HD (>75 %). If this IHCA is an effective educational tool, this would result in improved patient outcomes and substantial healthcare cost-savings. The estimated 10-year provincial cost-savings if the home dialysis proportion increased to 40 % is over US$133 million. The IHCA will be a portable, easy to use, and inexpensive tool making it easily implementable across centers in Ontario and elsewhere.

In end-of-study knowledge translation, we intend to provide information and tools to promote the access and utilization of the website for all CKD programs in Canada. The tool will also be made available through the Kidney Foundation of Canada, the Canadian Society of Nephrology websites, and provincial agencies including the Ontario Renal Network.

Abbreviations

CKD:

chronic kidney disease

eGFR:

estimated glomerular filtration rate

HD:

hemodialysis

HHD:

home hemodialysis

IHCA:

interactive health communication application

MoCA:

Montreal Cognitive Assessment

PD:

peritoneal dialysis

WISHED:

web-based IHCA for successful home dialysis

References

  1. 1.

    Ontario Renal Network (ORN). Independent Dialysis Data. 2015. 8-20-2015. Ref Type: Online Source.

  2. 2.

    Sikkes ME, Kooistra MP, Weijs PJ. Improved nutrition after conversion to nocturnal home hemodialysis. J Ren Nutr. 2009;19:494–9.

  3. 3.

    Tzamaloukas AH, Avasthi PS. Temporal profile of serum potassium concentration in nondiabetic and diabetic outpatients on chronic dialysis. Am J Nephrol. 1987;7:101–9.

  4. 4.

    Juergensen E, Wuerth D, Finkelstein SH, Juergensen PH, Bekui A, Finkelstein FO. Hemodialysis and peritoneal dialysis: patients’ assessment of their satisfaction with therapy and the impact of the therapy on their lives. Clin J Am Soc Nephrol. 2006;1:1191–6.

  5. 5.

    de Abreu MM, Walker DR, Sesso RC, Ferraz MB. Health-related quality of life of patients receiving hemodialysis and peritoneal dialysis in Sao Paulo, Brazil: a longitudinal study. Value Health. 2011;14:S119–21.

  6. 6.

    Wyld M, Morton RL, Hayen A, Howard K, Webster AC. A systematic review and meta-analysis of utility-based quality of life in chronic kidney disease treatments. PLoS Med. 2012;9:e1001307.

  7. 7.

    Purnell TS, Auguste P, Crews DC, Lamprea-Montealegre J, Olufade T, Greer R, et al. Comparison of life participation activities among adults treated by hemodialysis, peritoneal dialysis, and kidney transplantation: a systematic review. Am J Kidney Dis. 2013;62:953–73.

  8. 8.

    Alvares J, Cesar CC, Acurcio FA, Andrade EI, Cherchiglia ML. Quality of life of patients in renal replacement therapy in Brazil: comparison of treatment modalities. Qual Life Res. 2012;21:983–91.

  9. 9.

    Peng YS, Chiang CK, Hung KY, Chang CH, Lin CY, Yang CS, et al. Comparison of self-reported health-related quality of life between Taiwan hemodialysis and peritoneal dialysis patients: a multi-center collaborative study. Qual Life Res. 2011;20:399–405.

  10. 10.

    Baboolal K, McEwan P, Sondhi S, Spiewanowski P, Wechowski J, Wilson K. The cost of renal dialysis in a UK setting—a multicentre study. Nephrol Dial Transplant. 2008;23:1982–9.

  11. 11.

    Lee H, Manns B, Taub K, Ghali WA, Dean S, Johnson D, et al. Cost analysis of ongoing care of patients with end-stage renal disease: the impact of dialysis modality and dialysis access. Am J Kidney Dis. 2002;40:611–22.

  12. 12.

    Salonen T, Reina T, Oksa H, Sintonen H, Pasternack A. Cost analysis of renal replacement therapies in Finland. Am J Kidney Dis. 2003;42:1228–38.

  13. 13.

    Golper TA, Saxena AB, Piraino B, Teitelbaum I, Burkart J, Finkelstein FO, et al. Systematic barriers to the effective delivery of home dialysis in the United States: a report from the Public Policy/Advocacy Committee of the North American Chapter of the International Society for Peritoneal Dialysis. Am J Kidney Dis. 2011;58:879–85.

  14. 14.

    Osterlund K, Mendelssohn D, Clase C, Guyatt G, Nesrallah G. Identification of facilitators and barriers to home dialysis selection by Canadian adults with ESRD. Semin Dial. 2014;27:160–72.

  15. 15.

    Prakash S, Perzynski AT, Austin PC, Wu CF, Lawless ME, Paterson JM, et al. Neighborhood socioeconomic status and barriers to peritoneal dialysis: a mixed methods study. Clin J Am Soc Nephrol. 2013;8:1741–9.

  16. 16.

    Oliver MJ, Garg AX, Blake PG, Johnson JF, Verrelli M, Zacharias JM, et al. Impact of contraindications, barriers to self-care and support on incident peritoneal dialysis utilization. Nephrol Dial Transplant. 2010;25:2737–44.

  17. 17.

    Cafazzo JA, Leonard K, Easty AC, Rossos PG, Chan CT. Patient-perceived barriers to the adoption of nocturnal home hemodialysis. Clin J Am Soc Nephrol. 2009;4:784–9.

  18. 18.

    Zhang AH, Bargman JM, Lok CE, Porter E, Mendez M, Oreopoulos DG, et al. Dialysis modality choices among chronic kidney disease patients: identifying the gaps to support patients on home-based therapies. Int Urol Nephrol. 2010;42:759–64.

  19. 19.

    Murray E, Burns J, See TS, Lai R, Nazareth I. Interactive health communication applications for people with chronic disease. Cochrane Database Syst Rev. 2005;CD004274. DOI: 10.1002/14651858.CD004274.pub4.

  20. 20.

    O’Connor AM. Validation of a decisional conflict scale. Med Decis Making. 1995;15:25–30.

  21. 21.

    Broadhead WE, Gehlbach SH, de Gruy FV, Kaplan BH. The Duke-UNC Functional Social Support Questionnaire. Measurement of social support in family medicine patients. Med Care. 1988;26:709–23.

  22. 22.

    Nasreddine ZS, Phillips NA, Bedirian V, Charbonneau S, Whitehead V, Collin I, et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53:695–9.

  23. 23.

    Rockwood K, Song X, MacKnight C, Bergman H, Hogan DB, McDowell I, et al. A global clinical measure of fitness and frailty in elderly people. CMAJ. 2005;173:489–95.

  24. 24.

    Arozullah AM, Yarnold PR, Bennett CL, Soltysik RC, Wolf MS, Ferreira RM, et al. Development and validation of a short-form, rapid estimate of adult literacy in medicine. Med Care. 2007;45:1026–33.

Download references

Author information

Affiliations

  1. St. Michael’s Hospital, Toronto, ON, Canada
    • Andrea Harvey
  2. Division of Nephrology, McMaster University, Hamilton, ON, Canada
    • Michael Walsh
    • , Eric Bosch
    •  & Cathy Moreau
  3. Division of Nephrology, University of Western Ontario, London, ON, Canada
    • Arsh K. Jain
  4. Division of Nephrology, Queen’s University, Kingston, ON, Canada
    • Jocelyn Garland
  5. McMaster University, 50 Charlton Ave. E, Hamilton, ON, L8N 4A6, Canada
    • K. Scott Brimble
Authors
  1. Andrea Harvey
    View author publications
    You can also search for this author in
  2. Michael Walsh
    View author publications
    You can also search for this author in
  3. Arsh K. Jain
    View author publications
    You can also search for this author in
  4. Eric Bosch
    View author publications
    You can also search for this author in
  5. Cathy Moreau
    View author publications
    You can also search for this author in
  6. Jocelyn Garland
    View author publications
    You can also search for this author in
  7. K. Scott Brimble
    View author publications
    You can also search for this author in

Corresponding author

Correspondence to K. Scott Brimble.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

AH helped to draft the manuscript. MW participated in the design of the study and will perform the statistical analyses. AJ, CM, and JG participated in the study coordination. EB developed and monitored the website. KSB participated in the design and coordination of the study and helped to draft the manuscript. All authors read and approved the final manuscript.

Additional file

Additional file 1:

Dialysis knowledge survey. (DOCX 53 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Harvey, A., Walsh, M., Jain, A.K. et al. The WISHED Trial: implementation of an interactive health communication application for patients with chronic kidney disease. Can J Kidney Health Dis 3, 29 (2016). https://doi.org/10.1186/s40697-016-0120-y

Download citation

Keywords

  • Home dialysis
  • Interactive health communication application
  • Hemodialysis
  • Peritoneal dialysis
  • Internet

Canadian Journal of Kidney Health and Disease

ISSN: 2054-3581

Contact us