Development of a Structured Peer Mentoring Program for Support of Parents and Caregivers of Children with Cancer.

BACKGROUND: Parents of children newly diagnosed with cancer have increased anxiety, depression, and numerous questions. Many of these concerns can only be answered by parents who have undergone a similar experience. LOCAL PROBLEM: Our institution lacked a formal parent-to-parent mentoring program for parents of children newly diagnosed with cancer. METHODS: The Parent Family Advisory Council (PFAC) recommended implementation of a formalized program that would promote a structured approach to mentoring, with a formal referral process and designated parent mentors who had been vetted, trained, and supported by the institution. INTERVENTION: In 2010, a pilot parent-to-parent mentoring program was initiated. RESULTS: Since the programs initiation, 4062 encounters have been documented. This represents an annual average of 72 mentees paired with 20 mentors, averaging 677 annual encounters. Parents view the mentoring relationship as positive and report that they feel understood, less anxious, and less isolated. CONCLUSION: We show that a parent-to-parent mentoring program is feasible and sustainable over time. Our model is now transitioning from a staff referral to self-referral, as well as incorporating real-time mentoring into the new commons area for patients and their families. A formal volunteer mentoring program can assist parents in navigating the trajectory of childhood cancer, decreasing isolation.

Atraumatic Calcific Tendinitis in Medial Collateral Ligament: A Case Report.

Introduction: Calcific tendinitis is a commonly treated in the shoulder and wrist, but it is rarely seen in the medial collateral ligament (MCL). There is not satisfactory orthopedic literature for diagnosis and treatment of this condition. Case Report: A healthy 50-year-old woman presented with medial sided right knee pain. She did not have any history of trauma to the knee nor instability. She was diagnosed with calcific tendinitis of her MCL and was treated with US-guided lavage. This was her 4th documented location of symptomatic calcific tendinitis including her right shoulder, left wrist, and contralateral knee MCL. Conclusion: We present a case of a 50-year-old female with a history of multifocal, symptomatic calcific tendinitis, who had atraumatic mineral deposition in her MCL. Ultrasound-guided lavage is a successful minimally invasive treatment for calcific tendinitis.

"You are not alone": Connecting through a bereaved parent mentor program for parents whose child died of cancer.

BACKGROUND: Bereavement after the death of a child is devastating and associated with worse physical and psychosocial well-being in parents. Evidence suggests that parents desire and benefit from support provided by other bereaved parents. To foster this peer support, an institutional peer-to-peer mentorship program for bereaved parents was established, through which trained bereaved parent mentors offer support for newly bereaved parents. METHODS: Using a retrospective cohort design, we describe the characteristics of participants of the Bereaved Parent Mentorship program. Trained bereaved parent mentors documented encounters with newly bereaved parent mentees using a secure internet-based form. Mentors summarized each encounter including any concerns or need for professional psychosocial support. Descriptive statistics were used to describe mentor and mentee characteristics; free text from encounter summaries was qualitatively analyzed using content analysis. RESULTS: A total of 1368 documented encounters occurred between 150 mentees and 39 mentors from January 1, 2014 to February 29, 2020. Only seven encounters (0.5%) were flagged as serious concern necessitating professional psychosocial support. Four key themes in the encounters between mentors and mentees emerged, including: descriptions of the grief experience, ways in which a mentor supported their mentee, challenges the mentor experienced in supporting the mentee, and personal benefit gained by the mentor from supporting their mentee. CONCLUSION: This structured Bereaved Parent Mentorship program fostered rich interactions between bereaved parent participants, with very few encounters requiring professional assistance. Future research will assess the impact of bereaved mentor programs on resilience and psychosocial, physical, and functional well-being of parents.

Leveraging Grief: Involving Bereaved Parents in Pediatric Palliative Oncology Program Planning and Development.

As pediatric palliative care (PPC) became a recognized medical specialty, our developing clinical PPC team longitudinally partnered with bereaved parents to understand the care that their children received as they transitioned towards end of life. Families developed Eight Priorities, shared within, to improve care for children with a poor chance of survival based on their experience of losing a child to cancer. In this paper, we delineate the top eight PPC needs from a parent perspective to offer multi-layered, individually tailored resources for patients and families. One of these Eight Priorities noted that bereavement care for the remaining family members is vital for healing after the death of a child to promote meaning making and resilience in bereaved families. Here, we outline the creation of a bereaved parent-designed bereavement support program as one example of how we have partnered with parents to fulfill their Eight Priorities for quality care.

Recent advances on constraint-based models by integrating machine learning.

Research that meaningfully integrates constraint-based modeling with machine learning is at its infancy but holds much promise. Here, we consider where machine learning has been implemented within the constraint-based modeling reconstruction framework and highlight the need to develop approaches that can identify meaningful features from large-scale data and connect them to biological mechanisms to establish causality to connect genotype to phenotype. We motivate the construction of iterative integrative schemes where machine learning can fine-tune the input constraints in a constraint-based model or contrarily, constraint-based model simulation results are analyzed by machine learning and reconciled with experimental data. This can iteratively refine a constraint-based model until there is consistency between experimental data, machine learning results, and constraint-based model simulations.

PSO-Assisted Development of New Transferable Coarse-Grained Water Models.

We have employed two-to-one mapping scheme to develop three coarse-grained (CG) water models, namely, 1-, 2-, and 3-site CG models. Here, for the first time, particle swarm optimization (PSO) and gradient descent methods were coupled to optimize the force-field parameters of the CG models to reproduce the density, self-diffusion coefficient, and dielectric constant of real water at 300 K. The CG MD simulations of these new models conducted with various timesteps, for different system sizes, and at a range of different temperatures are able to predict the density, self-diffusion coefficient, dielectric constant, surface tension, heat of vaporization, hydration free energy, and isothermal compressibility of real water with excellent accuracy. The 1-site model is ∼3 and ∼4.5 times computationally more efficient than 2- and 3-site models, respectively. To utilize the speed of 1-site model and electrostatic interactions offered by 2- and 3-site models, CG MD simulations of 1:1 combination of 1- and 2-/3-site models were performed at 300 K. These mixture simulations could also predict the properties of real water with good accuracy. Two new CG models of benzene, consisting of beads with and without partial charges, were developed. All three water models showed good capacity to solvate these benzene models.