Literature DB >> 21240650

A technical solution to improving palliative and hospice care.

Michael A Kallen1, DerShung Yang, Niina Haas.   

Abstract

PURPOSE: This project sought to help palliative and hospice care practices improve patient care quality and operational efficiency by improving patient symptom status reporting and symptom management, reducing associated provider documentation workload, and enhancing patient-provider and provider-provider communication. We developed a user-friendly, electronic medical record-compatible, software prototype that allows typical clinical data and patient-reported outcomes (PRO) to be entered and stored. This data is immediately available during the clinical encounter with graphically depicted summaries for patient history and PRO assessments, a trending feature that links symptom behavior to interventions and the Edmonton Labeled Visual Information System.
METHODS: A user-centered design approach allowed for iterative cycles of needs/usability feedback from providers and patients/caregivers to be incorporated into the development of our prototype's technical structure and features. To determine the needs and initial usability of the project's prototype, we interviewed eight providers and 18 patients/caregivers. Another usability test, consisting of patient/caregiver (n = 18) and provider (n = 9) interviews, assessed the functioning prototype's design, usability, and usefulness.
RESULTS: Patients/caregivers (n = 18) reported that the prototype was usable (100%), it would facilitate patient-provider communication, shared decision making, and self-management (100%), and they would be willing to try the system and recommend it to their providers (100%). The providers (n = 9) felt that the prototype encouraged better use of patient assessments in decision making and patient care (100%) and improved identification of cause/temporal relationship between care events and outcomes (100%), monitoring of patient status (100%), communication in a multi-disciplinary team (100%), and operational efficiency and patient care quality (88.9%).
CONCLUSIONS: Quality of patient care and operational efficiency can be improved with an effective assessment, evaluation, and communication tool. This project developed an electronic version of such a tool. Future efforts will hone its usability and integration across multiple hospice/palliative care settings.

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Mesh:

Year:  2011        PMID: 21240650     DOI: 10.1007/s00520-011-1086-z

Source DB:  PubMed          Journal:  Support Care Cancer        ISSN: 0941-4355            Impact factor:   3.603


  18 in total

1.  The conception of the Nankya model of palliative care development in Africa.

Authors:  Julia Downing
Journal:  Int J Palliat Nurs       Date:  2008-09

2.  Perspectives in palliative care?

Authors:  Elias Tueni
Journal:  J Med Liban       Date:  2008 Apr-Jun

3.  The CAGE questionnaire: validation of a new alcoholism screening instrument.

Authors:  D Mayfield; G McLeod; P Hall
Journal:  Am J Psychiatry       Date:  1974-10       Impact factor: 18.112

4.  A validation study of a pain classification system for advanced cancer patients using content experts: the Edmonton Classification System for Cancer Pain.

Authors:  Cheryl L Nekolaichuk; Robin L Fainsinger; Peter G Lawlor
Journal:  Palliat Med       Date:  2005-09       Impact factor: 4.762

5.  Detecting alcoholism. The CAGE questionnaire.

Authors:  J A Ewing
Journal:  JAMA       Date:  1984-10-12       Impact factor: 56.272

6.  The Edmonton Symptom Assessment System (ESAS): a simple method for the assessment of palliative care patients.

Authors:  E Bruera; N Kuehn; M J Miller; P Selmser; K Macmillan
Journal:  J Palliat Care       Date:  1991       Impact factor: 2.250

7.  A controlled trial to improve care for seriously ill hospitalized patients. The study to understand prognoses and preferences for outcomes and risks of treatments (SUPPORT). The SUPPORT Principal Investigators.

Authors: 
Journal:  JAMA       Date:  1995 Nov 22-29       Impact factor: 56.272

8.  Pain management and health care policy.

Authors:  Nicole Naccache; Hicham Abou Zeid; Eliane Nasser Ayoub; Marie-Claire Antakly
Journal:  J Med Liban       Date:  2008 Apr-Jun

9.  Influence of patient preferences and local health system characteristics on the place of death. SUPPORT Investigators. Study to Understand Prognoses and Preferences for Risks and Outcomes of Treatment.

Authors:  R S Pritchard; E S Fisher; J M Teno; S M Sharp; D J Reding; W A Knaus; J E Wennberg; J Lynn
Journal:  J Am Geriatr Soc       Date:  1998-10       Impact factor: 5.562

Review 10.  A "TNM" classification system for cancer pain: the Edmonton Classification System for Cancer Pain (ECS-CP).

Authors:  Robin L Fainsinger; Cheryl L Nekolaichuk
Journal:  Support Care Cancer       Date:  2008-03-04       Impact factor: 3.603

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  16 in total

Review 1.  The Edmonton Symptom Assessment System 25 Years Later: Past, Present, and Future Developments.

Authors:  David Hui; Eduardo Bruera
Journal:  J Pain Symptom Manage       Date:  2016-12-29       Impact factor: 3.612

Review 2.  The value of data collection within a palliative care program.

Authors:  Arif H Kamal; David C Currow; Christine Ritchie; Janet Bull; Jane L Wheeler; Amy P Abernethy
Journal:  Curr Oncol Rep       Date:  2011-08       Impact factor: 5.075

Review 3.  Innovations in research and clinical care using patient-generated health data.

Authors:  Heather S L Jim; Aasha I Hoogland; Naomi C Brownstein; Anna Barata; Adam P Dicker; Hans Knoop; Brian D Gonzalez; Randa Perkins; Dana Rollison; Scott M Gilbert; Ronica Nanda; Anders Berglund; Ross Mitchell; Peter A S Johnstone
Journal:  CA Cancer J Clin       Date:  2020-04-20       Impact factor: 508.702

4.  A Systematic Review of Patient-Facing Visualizations of Personal Health Data.

Authors:  Meghan Reading Turchioe; Annie Myers; Samuel Isaac; Dawon Baik; Lisa V Grossman; Jessica S Ancker; Ruth Masterson Creber
Journal:  Appl Clin Inform       Date:  2019-10-09       Impact factor: 2.342

5.  Usability and Acceptability of the QDACT-PC, an Electronic Point-of-Care System for Standardized Quality Monitoring in Palliative Care.

Authors:  Arif H Kamal; Dio Kavalieratos; Janet Bull; Charles S Stinson; Jonathan Nicolla; Amy P Abernethy
Journal:  J Pain Symptom Manage       Date:  2015-07-10       Impact factor: 3.612

6.  Patient-reported symptoms and quality of life integrated into clinical cancer care.

Authors:  Donna L Berry
Journal:  Semin Oncol Nurs       Date:  2011-08       Impact factor: 2.315

7.  A Proposed Patient-Inclusive Methodology for Developing and Validating Telehealth Surveys that Include Social Determinants of Health.

Authors:  Mitchell Izower; Zoe Liao; Jeongeun Kim; Yuri Quintana
Journal:  AMIA Annu Symp Proc       Date:  2022-02-21

8.  Development of a periodic health examination form for the frail elderly in long-term care.

Authors:  Henry Yu-Hin Siu; Joy White; Myles Sergeant; Ainsley Elizabeth Moore; Christopher Patterson
Journal:  Can Fam Physician       Date:  2016-02       Impact factor: 3.275

9.  Electronic real-time assessment of patient-reported outcomes in routine care-first findings and experiences from the implementation in a comprehensive cancer center.

Authors:  Freya Trautmann; Leopold Hentschel; Beate Hornemann; Anke Rentsch; Michael Baumann; Gerhard Ehninger; Jochen Schmitt; Markus Schuler
Journal:  Support Care Cancer       Date:  2016-02-18       Impact factor: 3.603

10.  Electronic Patient-Reported Outcome-Based Interventions for Palliative Cancer Care: A Systematic and Mapping Review.

Authors:  Christina Karamanidou; Pantelis Natsiavas; Lefteris Koumakis; Kostas Marias; Fatima Schera; Michael Schäfer; Sheila Payne; Christos Maramis
Journal:  JCO Clin Cancer Inform       Date:  2020-07
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