Appl Clin Inform 2013; 04(04): 465-475
DOI: 10.4338/ACI-2013-06-RA-0039
Research Article
Schattauer GmbH

Contributors to frequent telehealth alerts including false alerts for patients with heart failure: A mixed methods exploration

K. Radhakrishnan
1   University of Texas - Austin, School of Nursing, Austin, Texas, United States
,
K. Bowles
2   University of Pennsylvania School of Nursing, School of Nursing, Philadelphia, Pennsylvania, United States
,
A. Zettek-Sumner
3   VNACare Network & Hospice, Telehealth Program, Worcester, Massachusetts, United States
› Author Affiliations
Further Information

Correspondence to:

Kavita Radhakrishnan, PhD RN MSEE
Assistant Professor
School of Nursing
University of Texas – Austin
1710 Red River Street
Austin, TX 78701–1499
United States
Phone: (512) 471–7936   
Fax: (512) 471 – 3688   

Publication History

received: 11 June 2013

accepted: 16 September 2013

Publication Date:
19 December 2017 (online)

 

Summary

Background: Telehealth data overload through high alert generation is a significant barrier to sustained adoption of telehealth for managing HF patients.

Objective: To explore the factors contributing to frequent telehealth alerts including false alerts for Medicare heart failure (HF) patients admitted to a home health agency.

Materials and Methods: A mixed methods design that combined quantitative correlation analysis of patient characteristic data with number of telehealth alerts and qualitative analysis of telehealth and visiting nurses’ notes on follow-up actions to patients’ telehealth alerts was employed. All the quantitative and qualitative data was collected through retrospective review of electronic records of the home heath agency.

Results: Subjects in the study had a mean age of 83 (SD = 7.6); 56% were female. Patient co-morbidities (p<0.05) of renal disorders, anxiety, and cardiac arrhythmias emerged as predictors of tele-health alerts through quantitative analysis (n = 168) using multiple regression. Inappropriate tele-health measurement technique by patients (54%) and home healthcare system inefficiencies (37%) contributed to most telehealth false alerts in the purposive qualitative sub-sample (n = 35) of patients with high telehealth alerts.

Conclusion: Encouraging patient engagement with the telehealth process, fostering a collaborative approach among all the clinicians involved with the telehealth intervention, tailoring tele-health alert thresholds to patient characteristics along with establishing patient-centered telehealth outcome goals may allow meaningful generation of telehealth alerts. Reducing avoidable tele-health alerts could vastly improve the efficiency and sustainability of telehealth programs for HF management.

Citation: Radhakrishnan K, Bowles K, Zettek-Sumner A. Contributors to frequent telehealth alerts including false alerts for patients with heart failure: A mixed methods exploration. Appl Clin Inf 2013; 4: 465–475

http://dx.doi.org/10.4338/ACI-06-RA-0039


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Conflicts of interest

The first and the second author, Drs. Radhakrishnan and Bowles, do not report any conflict of interest in conducting this study. The third author, Ms. Zettek-Sumner, RN MS, is an employee at the home health agency where this study was conducted.

  • References

  • 1 Dunlay SM, Shah ND, Shi Q, Morlan B, VanHouten H, Long KH, Roger VL. Lifetime costs of medical care after heart failure diagnosis. Circ Cardiovasc Qual Outcomes 2011; 4 (01) 68-75.
  • 2 Norton C, Georgiopoulou VV, Kalogeropoulos AP, Butler J.. Epidemiology and cost of advanced heart failure. Prog Cardiovasc Dis 2011; 54 (02) 78-85.
  • 3 Radhakrishnan K, Jacelon C, Roche J. Perceptions on the use of telehealth for heart failure by homecare nurses and patients: a mixed method study. Home Health Care Manag Pract 2012; 24 (04) 175-81.
  • 4 Johnston G, Weatherburn G. Automated weight monitoring in chronic heart failure: The excluded majority. J Telemed Telecare 2010; 16 (04) 190-192.
  • 5 Wade MJ, Desai AS, Spettell CM, Snyder AD, McGowan-Stackewicz V, Kummer PJ, Maccoy MC, Krakauer RS. Telemonitoring with case management for seniors with heart failure. Am J Manag Care 2011; 17 (03) e71-e79.
  • 6 Byrne JM, Elliott S, Firek A. Initial experience with patient-clinician secure messaging at a VA medical center. J Am Med Inform Assoc 2009; 16 (02) 267-270.
  • 7 Desai AS, Stevenson LW. Connecting the circle from home to heart-failure disease management. N Engl J Med 2010; 363 (024) 2364-2367.
  • 8 Biddiss E, Brownsell S, Hawley M. Predicting need for intervention in individuals with congestive heart failure using a home-based telecare system. J Telemed Telecare 2009; 15 (05) 226.
  • 9 Radhakrishnan K, Bowles KH, Hanlon A, Topaz M, Chittams J. A retrospective study on patient characteristics and telehealth alerts indicative of key medical events for heart failure (HF) patients at a home health agency. Telemed J E Health. Epub 2013 June 28.
  • 10 Schlachta-Fairchild L, Elfrink V, Deickman A. Patient safety, telenursing and telehealth. In Hughes RG editor, Patient safety and quality: an evidence-based handbook for nurses. Rockville, MD: Agency for Healthcare Research and Quality; 2008. pp. 3-135 to 3-174.
  • 11 Bui AL, Fonarow GC. Home monitoring for heart failure management. J Am Coll Cardiol 2012; 59 (02) 97-104.
  • 12 Ramaekers BL, Janssen-Boyne JJ, Gorgels AP, Vrijhoef HJ. Adherence among telemonitored patients with heart failure to pharmacological and nonpharmacological recommendations. Telemed J E Health 2009; 15 (06) 517-24.
  • 13 Radhakrishnan K, Jacelon CS, Bigelow C, Roche JP, Marquard JL, Bowles KH. Use of a homecare electronic health record (EHR) to find associations between patient characteristics and hospitalizations for heart failure patients using telehealth services. J Telemed Telecare 2013; 19 (02) 107-112.
  • 14 Riegel B, Lee CS, Dickson VV. Self care in patients with chronic heart failure. Nat Rev Cardiol 2011; 8 (011) 644-654.
  • 15 Tabachnick BG, Fidell LS. Using Multivariate Statistics. 4th ed. Needham Heights, MA: Allyn & Bacon; 2001
  • 16 Wade R, Shaw K, Cartwright C. Factors affecting provision of successful monitoring in home telehealth. Gerontology 2012; 58 (04) 371-377.
  • 17 Bowles KH, Hanlon AL, Glick HA, Naylor MD, O’Connor M, Riegel B, Shih NW, Weiner MG. Clinical effectiveness, access to, and satisfaction with care using a telehomecare substitution intervention: a randomized controlled trial. Int J Telemed Appl 2011; 2011: 540138.
  • 18 Young LB, Foster L, Silander A, Wakefield BJ. Home telehealth: patient satisfaction, program functions, and challenges for the care coordinator. J Gerontol Nurs 2011; 37 (11) 38-46.
  • 19 Fonarow GC, Abraham WT, Albert NM, Stough WG, Gheorghiade M, Greenberg BH, O’Connor CM, Pieper K, Sun JL, Yancy CW. Young JB; OPTIMIZE-HF Investigators and Hospitals. Factors identified as precipitating hospital admissions for heart failure and clinical outcomes: findings from OPTIMIZE-HF. Arch Intern Med 2008; 168 (08) 847-854.
  • 20 Ahluwalia SC, Gross CP, Chaudhry SI, Ning YM, Leo-Summers L, Van Ness PH, Fried TR. Impact of comorbidity on mortality among older persons with advanced heart failure. J Gen Intern Med 2011; 27 (05) 513-515.
  • 21 Radhakrishnan K, Jacelon CS, Bigelow C, Roche JP, Marquard JL, Bowles KH. Association of comorbidities with home care service utilization of patients with heart failure while receiving telehealth. J Cardiovasc Nurs 2013; 28 (03) 216-227.
  • 22 Schnell-Hoehn KN, Naimark BJ, Tate RB. Determinants of self-care behaviors in community-dwelling patients with heart failure. J Cardiovasc Nurs 2009; 24 (01) 40-47.
  • 23 Basilakis J, Lovell NH, Redmond SJ, Celler BG. Design of a decision-support architecture for management of remotely monitored patients. IEEE Trans Inf Technol Biomed 2010; 14 (05) 1216-1226.

Correspondence to:

Kavita Radhakrishnan, PhD RN MSEE
Assistant Professor
School of Nursing
University of Texas – Austin
1710 Red River Street
Austin, TX 78701–1499
United States
Phone: (512) 471–7936   
Fax: (512) 471 – 3688   

  • References

  • 1 Dunlay SM, Shah ND, Shi Q, Morlan B, VanHouten H, Long KH, Roger VL. Lifetime costs of medical care after heart failure diagnosis. Circ Cardiovasc Qual Outcomes 2011; 4 (01) 68-75.
  • 2 Norton C, Georgiopoulou VV, Kalogeropoulos AP, Butler J.. Epidemiology and cost of advanced heart failure. Prog Cardiovasc Dis 2011; 54 (02) 78-85.
  • 3 Radhakrishnan K, Jacelon C, Roche J. Perceptions on the use of telehealth for heart failure by homecare nurses and patients: a mixed method study. Home Health Care Manag Pract 2012; 24 (04) 175-81.
  • 4 Johnston G, Weatherburn G. Automated weight monitoring in chronic heart failure: The excluded majority. J Telemed Telecare 2010; 16 (04) 190-192.
  • 5 Wade MJ, Desai AS, Spettell CM, Snyder AD, McGowan-Stackewicz V, Kummer PJ, Maccoy MC, Krakauer RS. Telemonitoring with case management for seniors with heart failure. Am J Manag Care 2011; 17 (03) e71-e79.
  • 6 Byrne JM, Elliott S, Firek A. Initial experience with patient-clinician secure messaging at a VA medical center. J Am Med Inform Assoc 2009; 16 (02) 267-270.
  • 7 Desai AS, Stevenson LW. Connecting the circle from home to heart-failure disease management. N Engl J Med 2010; 363 (024) 2364-2367.
  • 8 Biddiss E, Brownsell S, Hawley M. Predicting need for intervention in individuals with congestive heart failure using a home-based telecare system. J Telemed Telecare 2009; 15 (05) 226.
  • 9 Radhakrishnan K, Bowles KH, Hanlon A, Topaz M, Chittams J. A retrospective study on patient characteristics and telehealth alerts indicative of key medical events for heart failure (HF) patients at a home health agency. Telemed J E Health. Epub 2013 June 28.
  • 10 Schlachta-Fairchild L, Elfrink V, Deickman A. Patient safety, telenursing and telehealth. In Hughes RG editor, Patient safety and quality: an evidence-based handbook for nurses. Rockville, MD: Agency for Healthcare Research and Quality; 2008. pp. 3-135 to 3-174.
  • 11 Bui AL, Fonarow GC. Home monitoring for heart failure management. J Am Coll Cardiol 2012; 59 (02) 97-104.
  • 12 Ramaekers BL, Janssen-Boyne JJ, Gorgels AP, Vrijhoef HJ. Adherence among telemonitored patients with heart failure to pharmacological and nonpharmacological recommendations. Telemed J E Health 2009; 15 (06) 517-24.
  • 13 Radhakrishnan K, Jacelon CS, Bigelow C, Roche JP, Marquard JL, Bowles KH. Use of a homecare electronic health record (EHR) to find associations between patient characteristics and hospitalizations for heart failure patients using telehealth services. J Telemed Telecare 2013; 19 (02) 107-112.
  • 14 Riegel B, Lee CS, Dickson VV. Self care in patients with chronic heart failure. Nat Rev Cardiol 2011; 8 (011) 644-654.
  • 15 Tabachnick BG, Fidell LS. Using Multivariate Statistics. 4th ed. Needham Heights, MA: Allyn & Bacon; 2001
  • 16 Wade R, Shaw K, Cartwright C. Factors affecting provision of successful monitoring in home telehealth. Gerontology 2012; 58 (04) 371-377.
  • 17 Bowles KH, Hanlon AL, Glick HA, Naylor MD, O’Connor M, Riegel B, Shih NW, Weiner MG. Clinical effectiveness, access to, and satisfaction with care using a telehomecare substitution intervention: a randomized controlled trial. Int J Telemed Appl 2011; 2011: 540138.
  • 18 Young LB, Foster L, Silander A, Wakefield BJ. Home telehealth: patient satisfaction, program functions, and challenges for the care coordinator. J Gerontol Nurs 2011; 37 (11) 38-46.
  • 19 Fonarow GC, Abraham WT, Albert NM, Stough WG, Gheorghiade M, Greenberg BH, O’Connor CM, Pieper K, Sun JL, Yancy CW. Young JB; OPTIMIZE-HF Investigators and Hospitals. Factors identified as precipitating hospital admissions for heart failure and clinical outcomes: findings from OPTIMIZE-HF. Arch Intern Med 2008; 168 (08) 847-854.
  • 20 Ahluwalia SC, Gross CP, Chaudhry SI, Ning YM, Leo-Summers L, Van Ness PH, Fried TR. Impact of comorbidity on mortality among older persons with advanced heart failure. J Gen Intern Med 2011; 27 (05) 513-515.
  • 21 Radhakrishnan K, Jacelon CS, Bigelow C, Roche JP, Marquard JL, Bowles KH. Association of comorbidities with home care service utilization of patients with heart failure while receiving telehealth. J Cardiovasc Nurs 2013; 28 (03) 216-227.
  • 22 Schnell-Hoehn KN, Naimark BJ, Tate RB. Determinants of self-care behaviors in community-dwelling patients with heart failure. J Cardiovasc Nurs 2009; 24 (01) 40-47.
  • 23 Basilakis J, Lovell NH, Redmond SJ, Celler BG. Design of a decision-support architecture for management of remotely monitored patients. IEEE Trans Inf Technol Biomed 2010; 14 (05) 1216-1226.