Chaplaincy Research: Its Value,Its Quality,and Its Future

The article is divided into four major sections, the first of which presents and discusses various reasons given by major researchers in the field why chaplains should do research. The second section summarizes findings on the sophistication of research on religion and health published in (a) medical and other healthcare journals, and (b) specialty journals on religion and health, chaplaincy, and pastoral care and counseling. The third section revisits suggestions that have been made by prominent chaplain researchers to increase and improve research by chaplains. The last section offers some suggestions for expanding several lines of current research in the future, including research: (1) to elucidate the nature of spiritual care chaplains provide to different populations, including patients, families and staff; (2) to assess the prevalence and intensity of patients' spiritual needs and the degree to which they are being met; (3) to identify that subset of patients who are spiritually at risk in terms of having high needs and slow religious resources; (4) to identify the biological causal mechanisms by which religion influences health; and (5) to measure the effectiveness of chaplain interventions.     

Noninvasive finding of local repolarization changes in the heart using dipole models and simplified torso geometry

Two inverse methods using dipole models for noninvasive assessment of local repolarization changes were investigated and compared in the simulation study. Lesions with changed repolarization were modeled by shortening of the action potential durations in ventricular regions typically influenced by occlusion of coronary arteries. Corresponding body surface potentials were computed using a multiple dipole model of the cardiac generator and an inhomogeneous torso model. Position of each lesion was then estimated by an inverse solution to a single dipole and to a group of five neighbouring dipoles. For both methods the lesion localization error was evaluated and its dependence on the lesion size and the noise in input data was studied. When no noise was present in the input data, the use of the inverse method to a group of dipoles instead of a single dipole resulted in an unsubstantial reduction of the mean localization error of small lesions from 0.6 to 0.5 cm. For medium and especially for large lesions the mean localization errors decreased significantly from 1.1 to 0.6 cm and from 2.3 to 1.0 cm, respectively. The inverse solution to a group of five dipoles was more sensitive to noise. However, for large lesions it still gave better results than the solution to a single dipole if the signal to noise ratio was higher than 30 dB.