Anthony Arnold

Anthony Arnold

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 October 2017 in Journal of Medical Internet Research
Verified
Journal Article
Open access
AGAfaf Girgis
Afaf Girgis
IDIvana Durcinoska
Ivana Durcinoska
JLJanelle V Levesque
Janelle V Levesque
MGMartha Gerges
Martha Gerges
TSTiffany Sandell
Tiffany Sandell
GDGeoff P Delaney
Geoff P Delaney
Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet

29 October 2020 in Journal of Medical Internet Research
Verified
Journal Article
Open access
AGAfaf Girgis
Afaf Girgis
IDIvana Durcinoska
Ivana Durcinoska
AAAnthony Arnold
Anthony Arnold
JDJoseph Descallar
Joseph Descallar
NKNasreen Kaadan
Nasreen Kaadan
GDGeoff P Delaney
Geoff P Delaney
Background: Despite the acceptability and efficacy of e–patient-reported outcome (ePRO) systems, implementation in routine clinical care remains challenging. Objective: This pragmatic trial implemented the PROMPT-Care (Patient Reported Outcome Measures for Personalized Treatment and Care) web-based system into existing clinical workflows and evaluated its effectiveness among a diverse population of patients with cancer. Methods: Adult patients with solid tumors receiving active treatment or follow-up care in four cancer centers were enrolled. The PROMPT-Care intervention supported patient management through (1) monthly off-site electronic PRO physical symptom and psychosocial well-being assessments, (2) automated electronic clinical alerts notifying the care team of unresolved clinical issues following two consecutive assessments, and (3) tailored online patient self-management resources. Propensity score matching was used to match controls with intervention patients in a 4:1 ratio for patient age, sex, and treatment status. The primary outcome was a reduction in emergency department presentations. Secondary outcomes were time spent on chemotherapy and the number of allied health service referrals. Results: From April 2016 to October 2018, 328 patients from four public hospitals received the intervention. Matched controls (n=1312) comprised the general population of patients with cancer, seen at the participating hospitals during the study period. Emergency department visits were significantly reduced by 33% (P=.02) among patients receiving the intervention compared with patients in the matched controls. No significant associations were found in allied health referrals or time to end of chemotherapy. At baseline, the most common patient reported outcomes (above-threshold) were fatigue (39%), tiredness (38.4%), worry (32.9%), general wellbeing (32.9%), and sleep (24.1%), aligning with the most frequently accessed self-management domain pages of physical well-being (36%) and emotional well-being (23%). The majority of clinical feedback reports were reviewed by nursing staff (729/893, 82%), largely in response to the automated clinical alerts (n=877). Conclusions: Algorithm-supported web-based systems utilizing patient reported outcomes in clinical practice reduced emergency department presentations among a diverse population of patients with cancer. This study also highlighted the importance of (1) automated triggers for reviewing above-threshold results in patient reports, rather than passive manual review of patient records; (2) the instrumental role nurses play in managing alerts; and (3) providing patients with resources to support guided self-management, where appropriate. Together, these factors will inform the integration of web-based PRO systems into future models of routine cancer care. Trial Registration: Australian New Zealand Clinical Trials Registry ACTRN12616000615482; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=370633 International Registered Report Identifier (IRRID): RR2-10.1186/s12885-018-4729-3

24 November 2016 in JMIR Research Protocols
Verified
Journal Article
Open access
AGAfaf Girgis
Afaf Girgis
GDGeoff P Delaney
Geoff P Delaney
AAAnthony Arnold
Anthony Arnold
AMAlexis Andrew Miller
Alexis Andrew Miller
JLJanelle V Levesque
Janelle V Levesque
AMAshley Maher
Ashley Maher
Patient-reported outcome (PRO) measures have been used widely to screen for depression, anxiety, and symptoms in cancer patients. Computer-based applications that collect patients' responses and transfer them to the treating health professional in real time have the potential to improve patient well-being and cancer outcomes. This study will test the feasibility and acceptability of a newly developed eHealth system which facilitates PRO data capture from cancer patients, data linkage and retrieval to support clinical decisions and patient self-management, and data retrieval to support ongoing evaluation and innovative research. The eHealth system is being developed in consultation with 3 overarching content-specific expert advisory groups convened for this project: the clinical advisory group, technical advisory group, and evaluation advisory group. The following work has already been completed during this phase of the study: the Patient-Reported Outcome Measures for Personalized Treatment and Care (PROMPT-Care) eHealth system was developed, patient-reported outcomes were selected (distress, symptoms, unmet needs), algorithms to inform intervention thresholds for clinical and self-management were determined, clinician PRO feedback summary and longitudinal reports were designed, and patient self-management resources were collated. PROsaiq, a custom information technology system, will transfer PRO data in real time into the hospital-based oncology information system to support clinical decision making. The PROMPT-Care system feasibility and acceptability will be assessed through patients completing PROMPT-Care assessments, participating in face-to-face cognitive interviews, and completing evaluation surveys and telephone interviews and oncology staff participating in telephone interviews. Over the course of 3 months, the system will be pilot-tested with up to 50 patients receiving treatment or follow-up care and 6 oncology staff at 2 hospitals in New South Wales, Australia. Data will be collected to determine the accuracy and completeness of data transfer procedures, extent of missing data from participants' assessments, acceptability of the eHealth system and usefulness of the self-management resources (via patient evaluation surveys and interviews), and acceptability and perceived usefulness of real-time PRO reporting (via oncology staff interviews) at the completion of the pilot phase. This research investigates implementation of evidence into real world clinical practice through development of an efficient and user-friendly eHealth system. This study of feasibility and acceptability of the newly developed eHealth system will inform the next stage of larger scale testing and future implementation of the system as part of routine care. Australian New Zealand Clinical Trials Registry ACTRN1261500135294; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=369299&isReview=true (Archived by WebCite at http://www.webcitation.org/6lzylG5A0).

21 March 2022 in Patient Education and Counseling
Verified
Journal Article
Closed access
ABAdeola Bamgboje-Ayodele
Adeola Bamgboje-Ayodele
DIDurcinoska Ivana
Durcinoska Ivana
OROrlando Rincones
Orlando Rincones
VWVerena Shuwen Wu
Verena Shuwen Wu
AAAnthony Arnold
Anthony Arnold
AGAfaf Girgis
Afaf Girgis

3 March 2022 in Journal of Medical Imaging and Radiation Oncology
Verified
Journal Article
Closed access
AAAnthony Arnold
Anthony Arnold
IWIain Ward
Iain Ward
SGSenthilkumar Gandhidasan
Senthilkumar Gandhidasan

6 September 2017 in Journal of Medical Radiation Sciences
Verified
Journal Article
Open access
PDF file
AAAnthony Arnold
Anthony Arnold
This editorial provides an insight into learning and prevention of error through near miss event reporting.