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Developing and validating high-value patient digital follow-up services: a pilot study in cardiac surgery.
Londral, A; Azevedo, S; Dias, P; Ramos, C; Santos, J; Martins, F; Silva, R; Semedo, H; Vital, C; Gualdino, A; Falcão, J; Lapão, L V; Coelho, P; Fragata, J G.
  • Londral A; Value for Health CoLAB, Lisbon, Portugal. ana.londral@vohcolab.org.
  • Azevedo S; Comprehensive Health Research Center, Nova Medical School, Nova University of Lisbon, Lisbon, Portugal. ana.londral@vohcolab.org.
  • Dias P; Value for Health CoLAB, Lisbon, Portugal.
  • Ramos C; Comprehensive Health Research Center, Nova Medical School, Nova University of Lisbon, Lisbon, Portugal.
  • Santos J; CEG-IST, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal.
  • Martins F; Value for Health CoLAB, Lisbon, Portugal.
  • Silva R; Comprehensive Health Research Center, Nova Medical School, Nova University of Lisbon, Lisbon, Portugal.
  • Semedo H; Value for Health CoLAB, Lisbon, Portugal.
  • Vital C; Comprehensive Health Research Center, Nova Medical School, Nova University of Lisbon, Lisbon, Portugal.
  • Gualdino A; Comprehensive Health Research Center, Nova Medical School, Nova University of Lisbon, Lisbon, Portugal.
  • Falcão J; Hospital de Santa Marta, Centro Hospitalar Universitário Lisboa Central, Lisbon, Portugal.
  • Lapão LV; Value for Health CoLAB, Lisbon, Portugal.
  • Coelho P; NOVA-LINCS, NOVA School of Science and Technology, Nova University of Lisbon, Lisbon, Portugal.
  • Fragata JG; Value for Health CoLAB, Lisbon, Portugal.
BMC Health Serv Res ; 22(1): 680, 2022 May 21.
Article in English | MEDLINE | ID: covidwho-1849729
ABSTRACT

BACKGROUND:

The existing digital healthcare solutions demand a service development approach that assesses needs, experience, and outcomes, to develop high-value digital healthcare services. The objective of this study was to develop a digital transformation of the patients' follow-up service after cardiac surgery, based on a remote patient monitoring service that would respond to the real context challenges.

METHODS:

The study followed the Design Science Research methodology framework and incorporated concepts from the Lean startup method to start designing a minimal viable product (MVP) from the available resources. The service was implemented in a pilot study with 29 patients in 4 iterative develop-test-learn cycles, with the engagement of developers, researchers, clinical teams, and patients.

RESULTS:

Patients reported outcomes daily for 30 days after surgery through Internet-of-Things (IoT) devices and a mobile app. The service's evaluation considered experience, feasibility, and effectiveness. It generated high satisfaction and high adherence among users, fewer readmissions, with an average of 7 ± 4.5 clinical actions per patient, primarily due to abnormal systolic blood pressure or wound-related issues.

CONCLUSIONS:

We propose a 6-step methodology to design and validate a high-value digital health care service based on collaborative learning, real-time development, iterative testing, and value assessment.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Delivery of Health Care / Cardiac Surgical Procedures Type of study: Cohort study / Experimental Studies / Prognostic study Limits: Humans Language: English Journal: BMC Health Serv Res Journal subject: Health Services Research Year: 2022 Document Type: Article Affiliation country: S12913-022-08073-4

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Delivery of Health Care / Cardiac Surgical Procedures Type of study: Cohort study / Experimental Studies / Prognostic study Limits: Humans Language: English Journal: BMC Health Serv Res Journal subject: Health Services Research Year: 2022 Document Type: Article Affiliation country: S12913-022-08073-4