Coyneand Messina Articles, Part 3 Spearman Coefficient Review
Thesurvey article by Messina et al. looked into finding relationshipbetween the satisfaction that patients receive from hospitals and thenumber of patients admitted. It also focused on whether thisrelationship differs between training and non-training hospitals.This research conducted in seven training and seven non-traininghospitals tried to establish the reasons that can increase inpatientadmissions while still providing the full satisfaction of thepatients. The findings concluded that generally, hospitals that havelower rates of admissions achieved in the provision of moresatisfaction from the patients. When it came to the distinctionbetween the two hospitals, the teaching facilities had moreadmittance numbers whereas the non-teaching ones led in the levels ofsatisfaction. The reasons provided were that training hospitals hadfar advanced equipment that attracted more people that needed medicalattention. However, due to the numerous demands found in such healthfacilities, the attention paid to individual patients tended to beless than the non-training facilities. This reason made thenon-teaching health centers have more time for their patients henceincreasing the patient fulfillment (Messina et al., 2009). This paperwill analyze the data analysis method used that was the Spearmancoefficient. Explanation of the variables utilized in the study, therelevance of the correlation analysis and the appropriateness of itwill all be part of this review.
Thevariables used were the patient satisfaction, the inpatient admissionnumbers, the training health facilities and the non-training sanitaryfacilities. The dependent variables were patient fulfillment andadmission rates while the independent variables were the training andnon-training hospitals. The research question was finding a relationbetween the two dependent variables and to consider whether thisrelationship has some difference when compared with the independentvariables (Messina et al., 2009). The use of these variables fullyanswered the study question as they provided all the informationneeded. The data collected from these dependent variables achieved byproviding a comprehensive explanation of their relationships. Theytherefore fulfilled the study queries.
Useof the Spearman Rank Correlation
TheSpearman rank coefficient tests the relation between two categorizedvariables. It attempts to show how one variable associates with theother while considering the research question posed. The primaryrequirement of this data regression analysis is that the twovariables should have a monotonic association. This term means thatif one variable rises, the other also rises or if one variable drops,the other variable surges (Mayers, 2013). This analysis method isbest used in studies that try to find the association between twofactors that are independent of each other. Considering the studyconducted in Messina’s et al. article, the research questioninvolved determination of the association between patientsatisfactions compared to the volume of inpatient admittance. Also,the study tried to see whether this relationship differs when itcomes to the teaching and non-teaching healthcare facilities. Theresults from the first section of the study survey question showed aSpearman rank correlation of rs=-0.287 and p= 0.018. This association was between the mean values of patientfulfillment and average admission numbers. Thus, the negativecorrelation depicts that as the number of sick people admitted intothe hospitals increase, the levels of satisfaction from otherpatients receiving treatment begin to drop. The second part of theresearch that was between training hospitals and non-training onesshowed that training facilities had significantly higher figures ofadmissions compared to the non-training facilities. By examining therelationship between fulfillment and admittance between the two typesof hospitals, detailed information came to light. Using the Spearmanrank coefficient, the association between satisfaction and admissionsin the teaching healthcare centers gave a value of rs= 0.581 and p= <0.0001. This result shows a high positive correlation betweenthe mean number of inpatients and the average satisfaction levels ofthe patients. Therefore, the rank correlation indicates that intraining facilities, as the number of inpatients rise, thesatisfaction rates rise as well. For the non-training hospitals, theSpearman rank analysis gave a value of rs=-0.097 and p= 0.579 (Messina et al., 2009). These findings depict a negativecorrelation between the average admittance and the mean levels ofsatisfaction for patients in non-training facilities. Thus, as thenumber of admissions reduce the fulfillment from the patients in thistype of hospitals increase. The Spearman rank correlation analysiswas therefore used correctly in the research as it provided adetailed explanation of how all the four variables are associated(Mayers, 2013). The general findings from the study can beestablished as patients get more satisfaction from hospitals thathave fewer patients as more attention can be given to them. On theother hand, more people in seeking medical care prefer the traininghospitals equipped with advanced instruments and more qualifiedhealthcare personnel. The only setback is that such hospitals rarelyprovide a lot of personal attention to these patients hence theirsatisfaction levels are slightly lower (Messina et al., 2009).
Thevariables that were used to conduct the study were well chosen asthey all provided the necessary data that helped in answering theresearch question. The use of the rank coefficient analysis assistedin describing the clear association between the patients’fulfillment and the number of inpatients admitted. The analysisstrategies used in the study were therefore aptly applied.
Coyne,J. S., Richards, M. T., Shultz, K., & Singh, S. G. (2009).Hospital cost and efficiency: do hospital size and ownership typereally matter?. Journalof Healthcare Management, 54(3),163.
Mayers,A. (2013). Introductionto statistics and SPSS in psychology.Pearson.
Messina,D., Scotti, D., Ganey, R., Zipp, G., & Mathis, L. (2009). TheRelationship Between Patient Satisfaction and Inpatient AdmissionsAcross Training and Nontraining Hospitals. Journalof Healthcare Management, 54(3),177-89, discussion 189-90. Retrieved fromhttp://library.gcu.edu:2048/login?url=http://proquest.umi.com.library.gcu.edu:2048/pqdweb?did=1752526601&sid=1&Fmt=4&clientId=48377&RQT=309&VName=PQD