scholarly journals Do CAMHS collect less PROM data from certain sociodemographic groups?

2020 ◽  
Keyword(s):  
Mental Health ◽  
Mental Health Services ◽  
Health Services ◽  
Outcome Measures ◽  
Treatment Efficacy ◽  
Patient Reported Outcome Measures ◽  
Patient Reported Outcome ◽  
Outcome Monitoring ◽  
Patient Reported ◽  
Low Rate

Patient-reported outcome measures (PROMs) are routinely used to inform clinicians and policymakers on clinical need and treatment efficacy. Yet despite their great value and utility, it seems that there is a low rate of outcome monitoring in Child and Adolescent Mental Health Services (CAMHS).

scholarly journals Using Feedback From Patient-Reported Outcome Measures in Mental Health Services: A Scoping Study and Typology

2015 ◽  
Vol 66 (3) ◽  
pp. 224-241 ◽  
Author(s):  
Christian U. Krägeloh ◽  
Karol J. Czuba ◽  
D. Rex Billington ◽  
Paula Kersten ◽  
Richard J. Siegert
Keyword(s):  
Mental Health ◽  
Mental Health Services ◽  
Health Services ◽  
Outcome Measures ◽  
Patient Reported Outcome Measures ◽  
Patient Reported Outcome ◽  
Scoping Study ◽  
Patient Reported

scholarly journals Moving from development to implementation of digital innovations within the NHS: myHealthE, a remote monitoring system for tracking patient outcomes in child and adolescent mental health services.

2021 ◽  
Author(s):  
Anna Charlotte Morris ◽  
Zina Ibrahim ◽  
Omer S Moghraby ◽  
Argyris Stringaris ◽  
Ian M Grant ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Health Services ◽  
Health Services ◽  
Digital Health ◽  
Patient Reported Outcome Measures ◽  
Patient Reported Outcome ◽  
Remote Monitoring System ◽  
Iterative Development ◽  
Patient Reported ◽  
Health Care Records

This paper reports our experience of developing, implementing, and evaluating myHealthE (MHE); a digital innovation for Child and Adolescents Mental Health Services (CAMHS) which automates the remote collection and reporting of Patient Reported Outcome Measures (PROMs) into National Health Services (NHS) electronic health care records. We describe the logistical and governance issues encountered in developing the MHE interface with patient identifiable information, and the steps taken to overcome these development barriers. We describe the applications architecture and hosting environment to enable it to be operable within the NHS, as well the as the capabilities needed within the technical team to bridge the gap between academic developers and NHS operational teams. We present evidence on the feasibility and acceptability for this system within clinical services and describe the process of iterative development, highlighting additional functions which were incorporated to increase system utility. This article provides a framework with which to plan, develop and implement automated PROM collection from remote devices back to NHS infrastructure. The challenges and solutions described in this paper will be pertinent to other digital health innovation researchers aspiring to deploy interoperable systems within NHS clinical systems.

scholarly journals Predictors of Pain and Function Before Knee Arthroscopy

2019 ◽  
Vol 7 (5) ◽  
pp. 232596711984426 ◽  
Author(s):  
◽  
Matthew C. Bessette ◽  
Robert W. Westermann ◽  
Alan Davis ◽  
Lutul Farrow ◽  
...  
Keyword(s):  
Mental Health ◽  
Outcome Measures ◽  
Knee Arthroscopy ◽  
Patient Reported Outcome Measures ◽  
Patient Reported Outcome ◽  
Education Level ◽  
Smoking History ◽  
Female Sex ◽  
Patient Reported ◽  
Surgical Data

Background: Patient-reported outcome measures are commonly used to measure knee pain and functional impairment. When structural abnormality is identified on examination and imaging, arthroscopic partial meniscectomy and chondroplasty are commonly indicated for treatment in the setting of pain and decreased function. Purpose: To evaluate the relationship between patient characteristics, mental health, intraoperative findings, and patient-reported outcome measures at the time of knee arthroscopy. Study Design: Cross-sectional study; Level of evidence, 3. Methods: Between February 2015 and October 2016, patients aged 40 years and older who were undergoing routine knee arthroscopy for meniscal and cartilage abnormality, without reconstructive or restorative procedures, were prospectively enrolled in this study. Routine demographic information was collected, and the Knee injury and Osteoarthritis Outcome Score (KOOS) Pain, Quality of Life (QoL), and Physical Function Short Form (PS) subscales and the mental and physical component subscales of the Veterans RAND 12-Item Health Survey (VR-12 MCS and VR-12 PCS) were administered preoperatively on the day of surgery. Intraoperative findings were collected in a standardized format. Patient demographics, intraoperative findings, and the VR-12 MCS were used as predictor values, and a multivariate analysis was conducted to assess for relationships with the KOOS and VR-12 as dependent variables. Results: Of 661 eligible patients, baseline patient-reported outcomes and surgical data were used for 638 patients (97%). Lower scores on both subscales of the VR-12 were predicted by female sex, positive smoking history, fewer years of education, and higher body mass index (BMI). All KOOS subscales were negatively affected by lower VR-12 MCS scores, female sex, lower education level, and higher BMI in a statistically meaningful way. Positive smoking history was associated with worse scores on the KOOS-PS. Abnormal synovial status was associated with worse KOOS-Pain. Conclusion: The demographic factors of sex, smoking status, BMI, and education level had an overwhelming impact on preoperative KOOS and VR-12 scores. Of interest, mental health as assessed by the VR-12 MCS was also a consistent predictor of KOOS scores. The only intraoperative finding with a significant association was abnormal synovial status and its effect on KOOS-Pain scores.

Sign in / Sign up

Export Citation Format

Share Document