Critical success factors for school-based integrated health care models: Learnings from an Australian example

ISSUES ADDRESSED

Integrated school-based health services have the potential to address the unmet health needs of children experiencing disadvantage, yet these models remain poorly evaluated. The current article examines an integrated social and health care hub located on the grounds of a regional Australian public primary school, the Our Mia Mia Wellbeing Hub, to identify critical success factors for this service and others like it.

METHODS

Semi-structured qualitative interviews were conducted with N = 55 multi-sector stakeholders comprising parents, students, school staff, social and health care providers, and local Aboriginal community members. Interview transcripts were analysed according to a grounded theory approach.

RESULTS

Six themes emerged from the analysis, reflecting important success factors for the model: service accessibility; service coordination; integration of education and health systems; trust; community partnerships; and perceptions of health.

CONCLUSIONS

Findings highlighted Our Mia Mia as a promising model of care, yet also revealed important challenges for the service as it responds to the varied priorities of the stakeholders it serves. SO WHAT?: Through capturing the perspectives of a large number of stakeholders, the current study provides valuable insight into key challenges and success factors for Our Mia Mia; these learnings can guide the development of other emerging school-based health services and integrated care hubs.

No hard feelings: maternal emotion socialization and callous-unemotional traits in children

Parents' identification and discussion of their own and their children's emotions are important emotion socialization behaviors (ESBs) that may mitigate child conduct problems (CPs). However, if parents perceive their child to be relatively unemotional, which may be the case for children with conduct problems and high callous-unemotional traits (CP + CU), these parents may be limited in their capacity to use ESBs effectively. This study tested these questions by looking at ESBs in mothers (N = 145) of children aged 2-8 years with CP + CU (n = 24), CPs and low CU traits (CP-CU; n = 94) and a non-clinical community sample (n = 27). After watching an emotional movie excerpt, mothers were asked to (1) provide ratings of their child's emotional experience and then (2) engage in a debriefing task with their child about the content. Children's expressed emotion during the excerpt and transcriptions of the debriefing task were coded by masked raters. Unexpectedly, mothers' perceptions of their children's emotion did not vary by group. Emotional ratings provided by mothers of children in the CP + CU group most closely aligned with ratings from independent observers. ESBs did not differ by group in the debriefing task. Mothers of children with CP + CU traits were shown in this study to be reliable reporters of their children's expressed emotion and showed similar rates of parental ESBs as mothers of children in the other groups. Results are discussed in reference to various models of parenting and CU traits that might account for these unexpected findings.

School-based integrated healthcare model: how Our Mia Mia is improving health and education outcomes for children and young people

Integrating healthcare into education settings represents a promising model to address complex health problems in disadvantaged communities through improving access to health and social services. One such example of an effective school-based health hub is the Our Mia Mia (OMM) Wellbeing Hub, located in a primary school in Nowra and servicing a community experiencing significant socioeconomic disadvantage. The efficacy of OMM rests on its success in facilitating access to services by removing the barriers of cost and transport and establishing connection to community. The OMM fosters collaborations between health professionals and educators to coordinate holistic treatment and implement appropriate student supports in a timely manner. The support of key individuals and groups, in addition to the flexibility of the model, has allowed the hub to pivot and adapt to meet the changing needs of its community, particularly as challenges pertaining to bureaucracy, financial sustainability and community mistrust have presented themselves. Future directions for the OMM hub, and the possibility of adapting and translating school-based healthcare delivery models in other disadvantaged communities, is discussed.

SU-E-T-545: Dose Comparison between Intravenous Contrast-Enhanced CT and Non Contrast CT in Treatment Planning

PURPOSE

With increasing concern for patient dose from CT scan, we are trying to reduce CT scan and use intravenous contrast-enhanced CT (contrast CT) in treatment planning. This study is to investigate dose calculation accuracy using contrast CT in treatment planning for lung, esophagus and pancreas cancer.

METHODS

We analyzed treatment plans for 8 patients for whom CT simulation was performed both with and without intravenous contrast agent (CA) (non-contrast CT). IMRT/3D plans were generated with inhomogeneity correction on the non-contrast CT scan. Contrast CTs were fused to the non-contrast studies and all contours and plans were copied to the contrast CT scans. For each patient, we analyzed dose-volume histograms (DVH) for planning volumes (PTV) and the organs-at-risk (OAR), comparing the doses generated on non-contrast CT scans with those generated on contrast CT scans.

RESULTS

Maximum doses ratio Dmax(contrast)/Dmax (non-contrast) in PTVs was 1.0009±0.0013. The ratio of D05 (contrast)/D05 (non-contrast) was 0.996±0.005. The ratio of mean PTV dose Dmean(contrast)/Dmean(non-contrast) was 0.990±0.005%. The ratio of minimum dose Dmin(contrast)/Dmin(non-contrast) and D95(contrast)/D95(non-contrast) were 0.970±0.030 and 0.984±0.009, respectively. Contrast CT raised cord dose slightly. The ratio of cord Dmax was 1.005±0.026. However there were two cases the ratio of cord Dmax were 1.035.

CONCLUSIONS

The PTV D95 is usually normalized to prescription dose and the D95 differences between contrast and regular CT were within 2%. In most cases, the contrast CT could be used to treatment planning clinically. However more attention should be paid to maximum cord dose if it is already close to criteria limit.

SU-E-J-14: Evaluation of Mechanical Accuracy of Electronic Portal Imaging Devise on Its Use in Patient Specific IMRT QA

PURPOSE

Electronic portal imaging devices (EPID) have been used for both in vivo dosimetry and in vitro dose verification in intensity modulated radiotherapy (IMRT). This study is to investigate the effect of EPID mechanical precision on the accuracy of measured dose distribution.

METHODS

EPID energy fluences (dicom images) of H&N IMRT fields were collected daily on two Varian LINACs (Clinac-iX & Trilogy) over 4-week period. The energy fluences were converted to doses using EPIDoseTM (Sun Nuclear Corp). Mechanical deviations of EPIDs could be divided into two components: one with inherent detector center misalignment from the beam central axis, another caused by the 'sagging effect' from gantry rotation. The first component was detected by 'best matching' of the measured and calculated dose at zero gantry angle (G=0). The second component was computed by 'best matching' the 10×10cm field defined by MLC at G=0, 90,180, and 270, separately. A 'shift' was generated by the combination of these two components and then applied to correct the measured dose at the corresponding gantry angle for the IMRT field.

RESULTS

Inherent misalignment of the detector's center and the 'sagging' deviation were found to be 1-2 mm and 1-5 mm, respectively for both LINACs. Each component was found very stable (change < 1mm) over the 4-week observational period. Using a Gamma index of 2%/2mm (DD/DTA), the 'shift' increased the average passing rate from 59% to more than 92%. On the other hand, blindly applying 'auto-shift' from commercially available software to obtain the best match would compound true QA issues with units' misalignments.

CONCLUSIONS

A false 'mismatch' between measured and calculated dose distribution caused by mechanical inaccuracies of EPID could be avoided by measuring the two components identified in this study. One should examine the mechanical precision of equipment prior to clinical use of EPID dosimetry.

Advances in 4D medical imaging and 4D radiation therapy

This paper reviews recent advances in 4D medical imaging (4DMI) and 4D radiation therapy (4DRT), which study, characterize, and minimize patient motion during the processes of imaging and radiotherapy. Patient motion is inevitably present in these processes, producing artifacts and uncertainties in target (lesion) identification, delineation, and localization. 4DMI includes time-resolved volumetric CT, MRI, PET, PET/CT, SPECT, and US imaging. To enhance the performance of these volumetric imaging techniques, parallel multi-detector array has been employed for acquiring image projections and the volumetric image reconstruction has been advanced from the 2D to the 3D tomography paradigm. The time information required for motion characterization in 4D imaging can be obtained either prospectively or retrospectively using respiratory gating or motion tracking techniques. The former acquires snapshot projections for reconstructing a motion-free image. The latter acquires image projections continuously with an associated timestamp indicating respiratory phases using external surrogates and sorts these projections into bins that represent different respiratory phases prior to reconstructing the cyclical series of 3D images. These methodologies generally work for all imaging modalities with variations in detailed implementation. In 4D CT imaging, both multi-slice CT (MSCT) and cone-beam CT (CBCT) are applicable in 4D imaging. In 4D MR imaging, parallel imaging with multi-coil-detectors has made 4D volumetric MRI possible. In 4D PET and SPECT, rigid and non-rigid motions can be corrected with aid of rigid and deformable registration, respectively, without suffering from low statistics due to signal binning. In 4D PET/CT and SPECT/CT, a single set of 4D images can be utilized for motion-free image creation, intrinsic registration, and attenuation correction. In 4D US, volumetric ultrasonography can be employed to monitor fetal heart beating with relatively high temporal resolution. 4DRT aims to track and compensate for target motion during radiation treatment, minimizing normal tissue injury, especially critical structures adjacent to the target, and/or maximizing radiation dose to the target. 4DRT requires 4DMI, 4D radiation treatment planning (4D RTP), and 4D radiation treatment delivery (4D RTD). Many concepts in 4DRT are borrowed, adapted and extended from existing image-guided radiation therapy (IGRT) and adaptive radiation therapy (ART). The advantage of 4DRT is its promise of sparing additional normal tissue by synchronizing the radiation beam with the moving target in real-time. 4DRT can be implemented differently depending upon how the time information is incorporated and utilized. In an ideal situation, the motion adaptive approach guided by 4D imaging should be applied to both RTP and RTD. However, until new automatic planning and motion feedback tools are developed for 4DRT, clinical implementation of ideal 4DRT will meet with limited success. However, simplified forms of 4DRT have been implemented with minor modifications of existing planning and delivery systems. The most common approach is the use of gating techniques in both imaging and treatment, so that the planned and treated target localizations are identical. In 4D planning, the use of a single planning CT image, which is representative of the statistical respiratory mean, seems preferable. In 4D delivery, on-site CBCT imaging or 3D US localization imaging for patient setup and internal fiducial markers for target motion tracking can significantly reduce the uncertainty in treatment delivery, providing improved normal tissue sparing. Most of the work on 4DRT can be regarded as a proof-of-principle and 4DRT is still in its early stage of development.