Headache in epilepsy: prevalence and clinical features.

BACKGROUND: Headache and epilepsy are two relatively common neurological disorders and their relationship is still a matter of debate. Our aim was to estimate the prevalence and clinical features of inter-ictal (inter-IH) and peri-ictal headache (peri-IH) in patients with epilepsy. METHODS: All patients aged ≥ 17 years referring to our tertiary Epilepsy Centre were consecutively recruited from March to May 2011 and from March to July 2012. They underwent a semi-structured interview including the International Classification Headache Disorders (ICHD-II) criteria to diagnose the lifetime occurrence of headache.χ(2)-test, t-test and Mann-Whitney test were used to compare clinical variables in patients with and without inter-IH and peri-IH. RESULTS: Out of 388 enrolled patients 48.5 % had inter-IH: migraine in 26.3 %, tension-type headache (TTH) in 19.1 %, other primary headaches in 3.1 %. Peri-IH was observed in 23.7 %: pre-ictally in 6.7 %, ictally in 0.8 % and post-ictally in 19.1 %. Comparing patients with inter-ictal migraine (102), inter-ictal TTH (74) and without inter-IH (200), we found that pre-ictal headache (pre-IH) was significantly represented only in migraineurs (OR 3.54, 95 % CI 1.88-6.66, P < 0.001). Post-ictal headache (post-IH) was significantly associated with both migraineurs (OR 2.60, 95 % CI 1.85-3.64, P < 0.001) and TTH patients (OR 2.05, 95 % CI 1.41-2.98, P < 0.001). Moreover, post-IH was significantly associated with antiepileptic polytherapy (P < 0.001), high seizure frequency (P = 0.002) and tonic-clonic seizures (P = 0.043). CONCLUSIONS: Migraine was the most represented type of headache in patients with epilepsy. Migraineurs are more prone to develop pre-IH, while patients with any inter-IH (migraine or TTH) are predisposed to manifest a post-IH after seizures.

Improving the Transition of Care Process for Veterans Hospitalized at Non-VHA Facilities.

Veterans receiving primary care through the Veterans Health Administration (VHA) are at increased risk of adverse outcomes when transitioning from a non-VHA hospitalization to VHA primary care. We intervened to improve these care transitions through identifying Veterans at a partnered community hospital, use of a multidisciplinary patient-structured discharge information sheet for community case managers to effectively communicate with VHA clinics, and implementation of a VHA site process for receiving information. We evaluated the intervention on two endpoints: the percentage-relevant documentation was received at the VHA before follow-up appointment and the rate Veterans attended a follow-up appointment at the VHA. Rates for receiving transitions of care documents were as follows: 0% preintervention (N = 24), 16% in the first 6 months of intervention (N = 39), and 83% after plan-do-study-act cycles in the second 6 months (N = 41). Veteran follow-up attendance also improved 25% preintervention to 54% and 71%, respectively. This process could serve as a model for transitions of care improvement.

Knowledge Translation to Optimize Adult Inpatient Glycemic Management With Basal Bolus Insulin Therapy and Improve Patient Outcomes.

OBJECTIVES: To develop and evaluate a Basal Bolus Insulin Therapy (BBIT) Knowledge Translation toolkit to address barriers to adoption of established best practice with BBIT in the care of adult inpatients. METHODS: This study was conducted in 2 phases and focused on the hospitalist provider group across 4 acute care facilities in Calgary. Phase 1 involved a qualitative evaluation of provider and site specific barriers and facilitators, which were mapped to validated interventions using behaviour change theory. This informed the co-development and optimization of the BBIT Knowledge Translation toolkit, with each tool targeting a specific barrier to improved diabetes care practice, including BBIT ordering. In Phase 2, the BBIT Knowledge Translation toolkit was implemented and evaluated, focusing on BBIT ordering frequency, as well as secondary outcomes of hyperglycemia (patient-days with BG >14.0 mmol/L), hypoglycemia (patient-days with BG <4.0 mmol/L), and acute length of stay. RESULTS: Implementation of the BBIT Knowledge Translation toolkit resulted in a significant 13% absolute increase in BBIT ordering. Hyperglycemic patient-days were significantly reduced, with no increase in hypoglycemia. There was a significant, absolute 14% reduction in length of stay. CONCLUSIONS: The implementation of an evidence-informed, multifaceted BBIT Knowledge Translation toolkit effectively reduced a deeply entrenched in-patient diabetes care gap. The resulting sustained practice change improved patient clinical and system resource utilization outcomes. This systemic approach to implementation will guide further scale and spread of glycemic optimization initiatives.