237
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Feasibility and usefulness of the going home toolkit, an mhealth app, during hospital discharge: patient and clinician perspectives

ORCID Icon, ORCID Icon, , &

References

  • Baillie CA, VanZandbergen C, Tait G, Hanish A, Leas B, French B, William Hanson C, Behta M, Umscheid CA. The readmission risk flag: using the electronic health record to automatically identify patients at risk for 30‐day readmission. J Hosp Med. 2013;8(12):689–95. doi:10.1002/jhm.2106.
  • Ben-Chetrit E, Chen-Shuali C, Zimran E, Munter G, Nesher G. A simplified scoring tool for prediction of readmission in elderly patients hospitalized in internal medicine departments. Sat. 2012;2:21.
  • Shadmi E, Flaks-Manov N, Hoshen M, Goldman O, Bitterman H, Balicer RD. Predicting 30-day readmissions with preadmission electronic health record data. Med Care. 2015;53(3):283–89. doi:10.1097/MLR.0000000000000315.
  • Wallace E, Stuart E, Vaughan N, Bennett K, Fahey T, Smith SM. Risk prediction models to predict emergency hospital admission in community-dwelling adults: a systematic review. Med Care. 2014;52(8):751. doi:10.1097/MLR.0000000000000171.
  • Donzé J, Aujesky D, Williams D, Schnipper JL. Potentially avoidable 30-day hospital readmissions in medical patients: derivation and validation of a prediction model. JAMA Intern Med. 2013;173(8):632–38. doi:10.1001/jamainternmed.2013.3023.
  • Coleman EA, Min S, Chomiak A, Kramer AM. Posthospital care transitions: patterns, complications, and risk identification. Health Serv Res. 2004;39(5):1449–66. doi:10.1111/j.1475-6773.2004.00298.x.
  • Kansagara D, Englander H, Salanitro A, Kagen D, Theobald C, Freeman M, Kripalani S. Risk prediction models for hospital readmission: a systematic review. Jama. 2011;306(15):1688–98. doi:10.1001/jama.2011.1515.
  • Centers for Disease Control. Addressing social determinants of health: accelerating the prevention and control of HIV/AIDS, viral hepatitis, STD and TB 2014 [ Available from: https://www.cdc.gov/nchhstp/socialdeterminants/docs/final_sdhconsultation_forweb_061109.pdf.
  • U.S. Department of Health and Human Services. HealthyPeople 2020 objectives: social determinants of health. 2016. https://www.healthypeople.gov/2020/topics-objectives/topic/social-determinants-of-health.
  • Center for Medicare and Medicaid Services. Accountable health communities model. https://innovation.cms.gov/initiatives/AHCM.
  • Robert Wood Johnson Foundation. Using social determinants of health data to improve health care and health. 2016. https://www.rwjf.org/en/library/research/2016/04/using-social-determinants-of-health-data-to-improve-health-care-.html
  • National Academies of Sciences E, Medicine. 2016. A framework for educating health professionals to address the social determinants of health. National Academies Press. https://www.ncbi.nlm.nih.gov/books/NBK395983/ doi:10.17226/21923
  • Garg A, Boynton-Jarrett R, Dworkin PH. Avoiding the unintended consequences of screening for social determinants of health. Jama. 2016;316(8):813–14. doi:10.1001/jama.2016.9282.
  • Wallace A, Papke T, Davisson E, Spooner K, Gassman L. Provider opinions and experiences regarding development of a social support assessment to inform hospital discharge. Prof Case Manag. 2017;22(5):214–27. doi:10.1097/NCM.0000000000000234.
  • Schmocker RK, Holden SE, Vang X, Leverson GE, Stafford LMC, Winslow ER. Association of patient-reported readiness for discharge and hospital consumer assessment of health care providers and systems patient satisfaction scores: a retrospective analysis. J Am Coll Surg. 2015;221(6):1073–82. e3. doi:10.1016/j.jamcollsurg.2015.09.009.
  • Bench S, Cornish J, Xyrichis A. Intensive care discharge summaries for general practice staff. n.d.
  • Billings J, Dixon J, Mijanovich T, Wennberg D. Case finding for patients at risk of readmission to hospital: development of algorithm to identify high risk patients. Bmj. 2006;333(7563):327. doi:10.1136/bmj.38870.657917.AE.
  • Harrison JD, Greysen RS, Jacolbia R, Nguyen A, Auerbach AD. Not ready, not set … discharge: patient‐reported barriers to discharge readiness at an academic medical center. J Hosp Med. 2016;11(9):610–14. doi:10.1002/jhm.2591.
  • Levine C. Rough crossings: family caregivers’ odysseys through the health care system. United Hospital Fund; 1998.
  • Ryan P, Sawin KJ. The individual and family self-management theory: background and perspectives on context, process, and outcomes. Nurs Outlook. 2009;57(4):217–25. e6. doi:10.1016/j.outlook.2008.10.004.
  • Weiss ME, Costa LL, Yakusheva O, Bobay KL. Validation of patient and nurse short forms of the readiness for hospital discharge scale and their relationship to return to the hospital. Health Serv Res. 2014;49(1):304. doi:10.1111/1475-6773.12092.
  • Wallace AS, Luther B, Guo J-W, Wang C-Y, Sisler S, Wong B. Implementing a social determinants screening and referral infrastructure during routine emergency department visits. Vol. 17. Utah:Preventing chronic disease; 2017–2018. p. E45 2020
  • Altizer R Jr, Zagal JP, Johnson E, Wong B, Anderson R, Botkin J, and Rothwell, E.editors. Design box case study: facilitating interdisciplinary collaboration and participatory design in game developm. Extended Abstracts Publication of the Annual Symposium on Computer-Human Interaction in Play; 2017.
  • Designing Inside the Box or Pitching Practices in Industry and Education. In: Altizer R, and Zagal JP , editors. DiGRA. 2014. http://www.digra.org/wp-content/uploads/digital-library/digra2014_submission_134.pdf
  • Terrill AL, MacKenzie JJ, Reblin M, Einerson J, Ferraro J, Altizer R. A collaboration between game developers and rehabilitation researchers to develop a web-based app for persons with physical disabilities: case study. JMIR Rehabil Assistive Technol. 2019;6(2):e13511. doi:10.2196/13511.
  • Linder LA, Newman AR, Stegenga K, Chiu Y-S, Wawrzynski SE, Kramer H, Weir C, Narus S, Altizer R. Feasibility and acceptability of a game-based symptom-reporting app for children with cancer: perspectives of children and parents. Supportive Care Cancer. 2021;29(1):301–10. doi:10.1007/s00520-020-05495-w.
  • Joosten YA, Israel TL, Head A, Vaughn Y, Gil VV, Mouton C, Wilkins CH. Enhancing translational researchers’ ability to collaborate with community stakeholders: lessons from the community engagement studio. J Clin Transl Sci. 2018;2(4):201–07. doi:10.1017/cts.2018.323.
  • Joosten YA, Israel TL, Williams NA, Boone LR, Schlundt DG, Mouton CP, Dittus RS, Bernard GR, Wilkins CH. Community engagement studios: a structured approach to obtaining meaningful input from stakeholders to inform research. Acad Med. 2015;90(12):1646. doi:10.1097/ACM.0000000000000794.
  • Pirolli P, Card S. Information foraging. Psychol Rev. 1999;106(4):643. doi:10.1037/0033-295X.106.4.643.
  • Creswell JW, Poth CN. Qualitative inquiry and research design: choosing among five approaches. Sage publications; 2018.
  • Chen D, Zhao H, editors. Data security and privacy protection issues in cloud computing. 2012 International Conference on Computer Science and Electronics Engineering; 2012: IEEE.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.