Use of Telehealth in Pediatric Palliative Care.

OBJECTIVES: Pediatric subspecialty care, including multidisciplinary palliative care, tends to be located in urban academic centers or children's hospitals. Telehealth provides the opportunity to care for patients who would otherwise not be able to access services. We present cases wherein telehealth was used to provide counseling services to patients who would not have been able to receive this service. METHODS: We discuss cases of telehealth use for patient and family counseling in the setting of palliative care and bereavement follow-up. Patients who live a great distance from the hospital with limited access to services were followed by a hospital-based pediatric palliative care team. Patients and families gave feedback after use of telehealth for counseling services. RESULTS: Counseling through telehealth by our hospital-based palliative care social worker was successful for all parties involved: patient, family, and social worker. CONCLUSIONS: Telehealth helps relieve disparity in access to services and care, which is particularly problematic in pediatrics and mental health. For the patients in this case series, it was an effective modality to receive counseling services and meet needs that otherwise would not have been addressed.

Hazmat disaster preparedness in Hong Kong: what are the hazardous materials on Lantau, Lamma, and Hong Kong Islands?

OBJECTIVE: Hazmat disaster preparedness is critical, especially as Hong Kong prepares for major international events, such as the 2008 Olympic Equestrian Games. No published medical study describes the identities and quantities of hazardous materials (HMs) in Hong Kong and lists what antidotes are needed for these dangerous goods (DGs). This study describes what HMs are most common in Hong Kong to prioritize disaster preparedness and training. DESIGN: A descriptive, cross-sectional study. SETTING: The Hong Kong Special Administrative Region, specifically Lantau, Lamma, and Hong Kong Islands. SAMPLE: The Hong Kong Fire Services Department (HKFSD) Dangerous Goods Database (DGD). INTERVENTIONS: Descriptive statistical analyses with Stata 9.2. MAIN OUTCOME MEASURES: Identifying and quantifying HMs in the HKFSD DGD. RESULTS: Most HMs do not have antidotes. The most common HMs with recognized antidotes are carbon monoxide, methylene chloride, fluorides, cyanides, nitriles, hydrazine, methanol, and nitrates. The most common categories of DGs are substances giving off inflammable vapors, compressed gases, and corrosive and poisonous substances. CONCLUSIONS: Hazmat disaster preparedness and training should emphasize these most common categories of DGs. Disaster planning should ensure adequate antidotes for HMs with recognized antidotes, ie, oxygen for carbon monoxide and methylene chloride; calcium gluconate and calcium chloride for fluorides; hydroxocobalamin or amyl nitrite, sodium nitrite, and sodium thiosulfate for cyanides and nitriles; pyridoxine for hydrazine; fomepizole or ethanol for methanol; and methylene blue for methemoglobinemia produced by nitrates. Supportive care is essential for patients exposed to HMs because most DGs do not have antidotes.

Attributes and behaviors associated with opioid seeking in the emergency department.

OBJECTIVE: Determine if the attributes and behaviors anecdotally thought to be indicative of drug seeking have statistical association with opioid seeking. METHODS: Data on variables thought to be indicative of drug seeking were retrospectively extracted and compared between two patient groups seen in the Emergency Department between July 1, 2006 and December 31, 2006. Group 1 was considered to have true physical pain, and Group 2 was thought to be seeking opioids. RESULTS: Seven variables were found to have statistical associations with opioid seeking. There was no chart documentation on absence or presence of six variables. CONCLUSIONS: Significant associations were found between several variables and opioid seeking. A prospective study should be performed so that all variables of interest can be thoroughly studied and a predictive model can be developed to differentiate patients with real pain from drug seekers.