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Most chaplains agree that the profession of hospital pastoral care needs outcomes research. The results reported identify background characteristics and other The Patient Satisfaction Instrument for Pastoral Care (PSI) items whose scores significantly predict responses. The first regression analysis identified the scores of the first, third, and fourth subscales as well as the number of pastoral visits, patient gender, and their level of general satisfaction with their hospitalization. The computer program required complete data for all variables and we inserted 2.5 for all missing or N/A responses on the Likert scale. The chaplain's ministry helps them with their loneliness and gives them the strength to go on even if the visits scare them. The appropriate statistical test for continuous variables is the regression analysis and we constructed a process similar to that used with the Analysis of Variance (ANOVA). In this regard, we are reminded of a statement by a pastor who has established a night ministry in Chicago.