The effectiveness of a continuing education programme in paediatric psychopharmacology designed for primary healthcare providers was objectively measured based on the assumption that training would lead to measurable changes in referral patterns and established clinical measures of referred patients. Using established, valid and reliable measures of clinical urgency embedded in to a regional healthcare system since 2002, the referrals to child and adolescent psychiatric services of physicians who participated in the training (n=99) were compared pretraining and post-training, and to non-participating/ untrained referring physicians (n=7753) making referrals over the same time period. Referrals were analysed for evidence of change based on frequencies and measures of clinical urgency. Participants of the training programme also completed standardised baseline and outcome selfevaluations. Congruent with participants self-reported evaluative reports of improved knowledge and practice, analysis of referral frequency and the clinical urgency of referrals to paediatric psychiatric services over the study period indicated that trained physicians made more appropriate referrals (clinically more severe) and reduced referrals to emergency services. Quantitative clinical differences as completed by intake clinicians blind to referrals from the study group designations were observed within the trained physician group pretraining and posttraining, and between the trained physician group and the unexposed physician group. The results illustrate a novel model for objectively measuring change among physicians based on training in paediatric mental health management. IntroductionContinuing medical education (CME) is grounded in the belief that with increased physician knowledge comes better physician practice which leads to improved patient outcomes. A measurable change in patients' health as a function of CME is rare. Most measures of CME effect focus on physician self-reported CME content uptake.1-6 Yet, it is well documented that self-report, as a consequence of CME participation, invariably suffers from the Hawthorne effect, 7 wherein self-reported effects are systematically biased simply through participation. There is little, if any, research employing independent, objective measures of CME programme change effect on physicians' practice. 8The gaps between perceived, actual and ideal performance in healthcare are real. For example, a recent meta-analysis found that most studies fail to show a significant correlation between CME and health outcomes.5 While research has focused on improving physician practice through an examination of various styles of CME, demonstrating that smaller interactive workshops show greater improvements than didactic sessions, 5 it has, to a lesser degree, examined CME effects on physician practice in relation to patient outcomes. When quantifiable, outcomes that are the result of an action or activity 1 are more objective, rendering them adequate and unbiased assessments of CME. 6 In fact...
Objective This paper presents a review of the current state of child and adolescent mental health literacy and provides current evidence of the economic impact of a pediatric mental health literacy (MHL) training program.Methods Employing a case-series-comparison design, physician referrals to urgent and specialized mental health services were linked with patient-specific information comparing referrals from MHL participants and non-participating physicians. The economic impact analysis was based on changes in the admitted referral frequency and lengths of stay for the MHL group, compared to themselves pretraining, and over the same time period compared to non-participating physicians.Results Average scheduled ambulatory admission rates per physician remained constant for trained and untrained pre-post groups. Average scheduled ambulatory admission wait time and length of stay reduced significantly post-training for MHL-trained physicians compared to pre-training and untrained physicians. In addition to reductions in length of stay, the total bed costs saving for emergency/ inpatients admission deferrals was $2,932,112 or about $20,000 per MHL-trained physician.Conclusion The estimated economic impact of the MHL training shows a substantial return on investment and supports wider implementation. The MHL training program should be a key feature of mental health reform strategies, as well as continuing and undergraduate medical education.
BACKGROUND Employing a valid and reliable clinical measurement system established in 2002 within our regional Child and Adolescent, Addictions, Mental Health, and Psychiatry Program, we have been able to measure the effect of the general service system, a novel pre-admission initial family group session to orient families to treatment, and an acute at home care service deigned to divert admissions from emergency to in-home support rather than inpatient admission. Additionally, the modelled clinical effect and economic impact of two community programs; one school-based mental health literacy program and one primary care physician training and education program focusing on the management of children's mental health problems. In this paper, we present an established clinical measurement system combined with standardized cost evaluation strategy to assess the respective cost/benefit impacts of four service innovations. METHODS The clinical measurement system has been described in detail, as has its role in measuring the impact of community-level training on the quality of referrals. Our financial department developed standardized per diem cost references for levels of care within our system. The cost references permitted comparison of groups that were exposed and unexposed to the system innovations before and after the initiation of service and community innovations. The school-based mental health literacy program was a regional implementation of a national program (https://mentalhealthliteracy.org/). The primary care physician education was an internationally develop program from the United States (https://thereachinstitute.org). The other two projects were accomplished on a somewhat smaller local scale and at lower overall cost. The pre-admission initial family group session was a bottom-up, staff-designed and developed quality improvement project. The acute at home project, while funded by the children’s hospital foundation as were the two national and international projects. the acute at home project was a top-down director-designed project with one manager and a coordinator. RESULTS The four innovations were evaluated employing the same model. In each case the clinical space created by each innovation was measured in terms of the cost saved comparing the same outcomes (re-admission rates and lengths of stay) over comparable time intervals between and within pre/post exposed and unexposed groups, whilst controlling for clinical effects of exposure and time. The clinical measurement system helped determine group effects to ensure that the target groups were comparable within each initiative’s exposed and unexposed groups and were appropriately distinct between initiatives (eg, appropriate clinical groups were served by each initiative). While four projects were different and served somewhat different patient groups, the pre-admission initial family group session was the most cost effective. The physician training program was both effective and cost neutral. The school-based mental health literacy program was the least evaluable due to the direction of implementation and tended to increase referrals rather than create clinical space for more affected youth, as might be expected. The acute at home project successfully diverted less suicidal patients away from inpatient readmission over the evaluation period. DISCUSSION The main implications for mental health policy derives from linking standardized cost and clinical measurement models permitting economic evaluation of system and community level innovations. Pre and post clinical and cost measurements within and between exposed and unexposed groups for each innovation or project permitted estimation of benefits and cost. CONCLUSIONS The projects varied in focus together with the evaluability of each project, yet this provided important information for health system innovation and renewal within the context of fiscal constraint. The ranking of the projects in terms of their overall benefits and costs may guide decision-making where maximum return on investment makes the most sense.
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