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© The Internet Journal of Allied Health Sciences and Practice,
2011
A Peer Reviewed Publication of the College of Allied Health &
Nursing at Nova Southeastern University
Dedicated to allied health professional practice and education
http://ijahsp.nova.edu
A Quantitative Correlational Study on the Impact of Patient
Satisfaction on a
Laboratory Manager
CITATION: Ellis-Jacobs K. A Quantitative Correlational Study
on the Impact of Patient Satisfaction on a Rural Hospital
Internet Journal of Allied Health Sciences and Practice.
ABSTRACT
The purpose of the quantitative, ex post facto, correlational
research study was to describe a relationship between rural all
health care mean customer satisfaction scores and allied health
care departments’ generation of revenue for a hospita
research method for the study was appropriate because it
identified a relationship between two variables: the customer
servic
skills of allied health care practitioners and a hospital’s gross
revenue. The study involved analyzing historical patient
surveys and corresponding hospital revenue statements from a
rural hospital in northeastern Oklahoma for a 25
The study revealed a correlation and impact of the allied health
care practitioner on hospital survival. Revenue was p
significantly correlated with three of the satisfaction ratings
from the Emergency Department.
tests (r = .41, p < .05), courtesy of the person drawing blood (
.05). None of the correlations between revenue and Inpatient
ratings achieved significance.
direction as the Emergency Department ratings, such that all of
the correlations were positive with the exception of
rating (r = -.14, p > .05). The correlation was negative, but was
rather small and insignificant.
INTRODUCTION
Allied health care practitioners are a key factor in improving
the quality of life of patients and increasing the satisfactio
patients’ health care experiences.1 Allied health care
departments in hospitals typically generate 75
therefore, the customer satisfaction skills of allied health care
practitioners impact the satisfaction of a patient’s visit
Health care leaders must ensure that patients that use the health
facility are satisfied with the health care services receiv
Patients assume that health care workers employed in a hospital
are technically competent
both technical excellence and compassionate health care.
In a rural health care facility, patients hold power in the
financial success of a hospital by using the facility for health
Even though many rural areas have only one hos
hospital reimbursement from Medicare because patient
satisfaction will be considered a quality mandate beginning
October
2012.3 This mandate will allow Medicare to pay hospitals
practitioners are trained to perform technical analysis with
competence; however, many rural allied practitioners lack
adequa
customer service skills.4 Patients visiting a health car
health care practitioners often do not deliver on the expectation
with incidents of long waits for service, rude staff, and
uncompassionate practitioners.5 This lack of custome
surveys and impact the amount of hospital reimbursement for
Medicare patients
service is no longer a choice for allied health care
health care and changes in government and private payers allow
health care consumers to choose where to obtain
The specific problem is that rural hospitals face cl
alth Sciences and Practice, 2011
A Peer Reviewed Publication of the College of Allied Health &
Nursing at Nova Southeastern University
edicated to allied health professional practice and education
http://ijahsp.nova.edu Vol. 9 No. 4 ISSN 1540-580X
A Quantitative Correlational Study on the Impact of Patient
Satisfaction on a
Rural Hospital
Kerry Ellis-Jacobs, DM
Laboratory Manager, Okmulgee Memorial Hospital, Okmulgee,
Oklahoma
United States
A Quantitative Correlational Study on the Impact of Patient
Satisfaction on a Rural Hospital
Internet Journal of Allied Health Sciences and Practice. Oct
2011. Volume 9 Number 4.
The purpose of the quantitative, ex post facto, correlational
research study was to describe a relationship between rural all
health care mean customer satisfaction scores and allied health
care departments’ generation of revenue for a hospita
research method for the study was appropriate because it
identified a relationship between two variables: the customer
servic
skills of allied health care practitioners and a hospital’s gross
revenue. The study involved analyzing historical patient
surveys and corresponding hospital revenue statements from a
rural hospital in northeastern Oklahoma for a 25
The study revealed a correlation and impact of the allied health
care practitioner on hospital survival. Revenue was p
significantly correlated with three of the satisfaction ratings
from the Emergency Department. These correlations were for
STD
< .05), courtesy of the person drawing blood (r = .40, p = .05),
and concern of radiology personnel (
.05). None of the correlations between revenue and Inpatient
ratings achieved significance. The trend tended to be in the
same
direction as the Emergency Department ratings, such that all of
the correlations were positive with the exception of
The correlation was negative, but was rather small and
insignificant.
Allied health care practitioners are a key factor in improving
the quality of life of patients and increasing the satisfactio
Allied health care departments in hospitals typically generate
75-80% of hospital revenue;
therefore, the customer satisfaction skills of allied health care
practitioners impact the satisfaction of a patient’s visit
Health care leaders must ensure that patients that use the health
facility are satisfied with the health care services receiv
assume that health care workers employed in a hospital are
technically competent.1 A patient’s quality of l
and compassionate health care.2
In a rural health care facility, patients hold power in the
financial success of a hospital by using the facility for health
Even though many rural areas have only one hospital within a
50 mile or greater radius, health care consumers will influence
hospital reimbursement from Medicare because patient
satisfaction will be considered a quality mandate beginning
October
This mandate will allow Medicare to pay hospitals for services
based on patient satisfaction scores
practitioners are trained to perform technical analysis with
competence; however, many rural allied practitioners lack
adequa
Patients visiting a health care facility for services expect a
certain level of quality and satisfaction, but
health care practitioners often do not deliver on the expectation
with incidents of long waits for service, rude staff, and
This lack of customer satisfaction will be reflected in
government mandated patient satisfaction
surveys and impact the amount of hospital reimbursement for
Medicare patients.5 The general problem was excellent
customer
service is no longer a choice for allied health care practitioners
but an expectation from health care consumers.
health care and changes in government and private payers allow
health care consumers to choose where to obtain
The specific problem is that rural hospitals face closure because
of decreased reimbursement from government and private
A Peer Reviewed Publication of the College of Allied Health &
Nursing at Nova Southeastern University
A Quantitative Correlational Study on the Impact of Patient
Satisfaction on a
A Quantitative Correlational Study on the Impact of Patient
Satisfaction on a Rural Hospital. The
The purpose of the quantitative, ex post facto, correlational
research study was to describe a relationship between rural
allied
health care mean customer satisfaction scores and allied health
care departments’ generation of revenue for a hospital. The
research method for the study was appropriate because it
identified a relationship between two variables: the customer
service
skills of allied health care practitioners and a hospital’s gross
revenue. The study involved analyzing historical patient
satisfaction
surveys and corresponding hospital revenue statements from a
rural hospital in northeastern Oklahoma for a 25-month period.
The study revealed a correlation and impact of the allied health
care practitioner on hospital survival. Revenue was positively
These correlations were for STD
= .05), and concern of radiology personnel (r = .45, p <
The trend tended to be in the same
direction as the Emergency Department ratings, such that all of
the correlations were positive with the exception of the Waiting
Allied health care practitioners are a key factor in improving
the quality of life of patients and increasing the satisfaction of
80% of hospital revenue;
therefore, the customer satisfaction skills of allied health care
practitioners impact the satisfaction of a patient’s visit to a
hospital.
Health care leaders must ensure that patients that use the health
facility are satisfied with the health care services received.
A patient’s quality of life requires
In a rural health care facility, patients hold power in the
financial success of a hospital by using the facility for health
care needs.
pital within a 50 mile or greater radius, health care consumers
will influence
hospital reimbursement from Medicare because patient
satisfaction will be considered a quality mandate beginning
October
for services based on patient satisfaction scores.3 Allied health
care
practitioners are trained to perform technical analysis with
competence; however, many rural allied practitioners lack
adequate
e facility for services expect a certain level of quality and
satisfaction, but
health care practitioners often do not deliver on the expectation
with incidents of long waits for service, rude staff, and
mandated patient satisfaction
The general problem was excellent customer
tion from health care consumers.5 Recent trends in
health care and changes in government and private payers allow
health care consumers to choose where to obtain health care.6
decreased reimbursement from government and private
A Quantitative Correlational Study on the Impact of Patient
Satisfaction on a Rural Hospital 2
© The Internet Journal of Allied Health Sciences and Practice,
2011
payers. Recent trends in health care reimbursement base future
payment for services on allied health care practitioners’
customer satisfaction scores, which leads to less accessible and
more expensive health care. Health care leaders must increase
patient satisfaction scores through training and education to
emphasize the importance of a positive patient experience to the
survival of health care facilities.5
In 2008, The Centers for Medicare and Medicaid Services
(CMS) and many private insurers included patient satisfaction
as a
quality mandate3. Hospitals that receive Medicare payments
were required to participate in patient satisfaction surveys and
report these results to CMS. In October 2012, Medicare
reimbursements to health care facilities could decrease by as
much as
2%, if hospitals do not meet the benchmark patient satisfaction
goals determined by CMS.3 Rural hospitals face closing
because
of these possible decreased Medicare reimbursements.7 Over
500 rural hospitals have closed since 1990 because health care
consumers chose to travel farther to receive health care and pay
more for services to receive excellent customer services based
on the public reporting of hospital satisfaction scores initiated
in 2008.8
In many rural health care facilities, gross revenues result
primarily from inpatient stays and allied departments,
particularly
laboratory and radiology services.5 As allied health care
practitioners understand patients’ needs and satisfy those needs
customer satisfaction increases.5 Health care practitioners once
considered patients an intrusion on their time, but in the near
future these practitioners will depend on customers for
reimbursement because of satisfaction survey responses
mandated by
the federal government.5
The relationship between these two variables could provide
health care leaders with a patient service model that
demonstrates a
cycle of revenue generation and hospital survival that will help
health care remain accessible and less expensive for rural
residents. Patient-centered health care quality models currently
exist; however, these models do not recognize impact of allied
health care practitioners on hospital revenue generation.9
METHOD
The purpose of the current quantitative, ex post facto,
correlational research study was to describe a correlation
between allied
personnel customer satisfaction scores and a hospital’s gross
revenue. The study involved analyzing 25 months of historical
patient satisfaction survey mean scores and revenue statements
from a rural hospital in northeastern Oklahoma. The current
study involved identifying a relationship between two variables:
the customer service skills of allied health care practitioners
and
a hospital’s financial success. The current study included data
in the form of statistical figures and tables. Revenue reports and
patient satisfaction surveys for the same period were analyzed.
The research question for the current study integrated
leadership, customer satisfaction, and allied health care
professionals’
training:
R1: What is the relationship, if any, between allied health care
practitioners’ customer service skills and a hospital’s gross
revenue?
In consideration of the customer satisfaction–profitability
relationship and the research question, the study included the
following
hypotheses:
H01: No correlation exists between the hospital’s allied health
care department’s revenue and various measures of allied health
care customer satisfaction from April 2008 to April 2010.
H1: A correlation exists between the hospital’s allied health
care department’s revenue and various measures of allied health
care customer satisfaction from April 2008 to April 2010.
Data were analyzed by Pearson correlations that assumed the
two variables were measured on at least interval scales, and
Pearson correlations determine the extent to which values of the
two variables are proportional to each other.10 The value of
correlation or a correlation coefficient does not depend on the
specific measurement units used. Proportional means linearly
related; that is, the correlation is high if it can be summarized
by a straight line sloped upward or downward. The line is called
the
regression line because it is determined such that the sum of the
squared distances of all the data points from the line is the
lowest possible.10
Pearson correlations were computed between the monthly
measures of revenue and the various satisfaction ratings for the
Emergency Department and Inpatient areas separately to test the
hypothesis. Correlations were flagged as significant if the p
value was less than or equal to .05. The correlations that
pertained to the hypothesis are in the first column under
revenue for
each table. These are the correlations between hospital revenue
profit and each satisfaction rating. The rest of the correlations
represent correlations among the ratings. These do not pertain
to the hypothesis, but are shown for interest.
A Quantitative Correlational Study on the Impact of Patient
Satisfaction on a Rural Hospital 3
© The Internet Journal of Allied Health Sciences and Practice,
2011
RESULTS
The findings indicated the null hypothesis was rejected in the
Emergency Department setting, but the null hypothesis was not
rejected in the Inpatient setting. Several possible correlations
between allied health care customer satisfaction and a hospital’s
gross revenue were identified but not significant. Patient
satisfaction scores for health care practitioner performance were
divided
into two categories: Emergency Department visits and Inpatient
admissions. Table 1 presents descriptive statistics consisting of
the mean, standard deviation, and range (minimum score to
maximum score) for hospital gross revenue and for each of the
satisfaction ratings for the Emergency Department and Inpatient
categories. Measures of skewness and kurtosis were also
computed to assess normality of the measures. Skewness and
kurtosis values of zero are indicative of a normal distribution,
and
values between -2 and +2 signify no problematic deviations
from normality.11 The measures of skewness and kurtosis were
all
between the values of -2 and +2. Thus, the variables were
deemed sufficiently and normally distributed that parametric
statistics
(i.e., Pearson correlations) could be appropriately applied in
analyzing these variables.
Table 1. Descriptive Statistics for Revenue and Satisfaction
Ratings: April 2008 to April 2010
Range
M SD Min. Max Skewness Kurtosis
Revenue (in millions) $3.08 $2.96 2.48 $3.74 0.21 -0.17
Emergency Department ratings
STD tests 77.45 10.87 57.2 92.9 -0.44 -0.57
Courtesy (blood) 76.51 12.13 57.2 95.8 -0.31 -1.23
Concern (blood) 76.38 12.72 57.2 96.4 -0.05 -1.21
Wait (radiology) 70.90 18.97 25 100 -0.91 1.04
Courtesy (radiology) 81.12 10.04 65 100 0.34 -0.78
Concern (radiology) 77.93 11.24 50 100 -0.02 0.81
Inpatient ratings
STD tests 81.81 4.65 70.8 93.0 -0.31 1.49
Wait 77.91 4.21 69.3 87.5 0.15 0.21
Explanations 80.16 6.53 65.0 90.6 -0.68 0.34
Courtesy (blood) 84.44 4.74 75.0 96.9 0.31 0.98
Courtesy (IV) 84.61 4.51 77.3 96.9 0.78 0.65
Correlations
To test the hypothesis, Pearson correlations were computed
between the monthly measures of revenue and the various
satisfaction ratings for the Emergency Department and Inpatient
areas separately. Table 2 displays the correlations for the
Emergency Department ratings, and Table 3 displays the
correlations for the Inpatient ratings. Correlations were flagged
as
significant if the p value was less than or equal to .05. The
correlations that pertain to the hypothesis are in the first column
under
revenue for each table. These are the correlations between
hospital gross profit and each satisfaction rating. The rest of the
correlations represent correlations among the ratings. These do
not pertain to the hypothesis, but are shown for interest.
As displayed in Table 2, revenue was positively significantly
correlated with three of the satisfaction ratings from the
Emergency
Department. These correlations were for STD tests (r = .41, p <
.05), courtesy of the person drawing blood (r = .40, p = .05),
and
concern of radiology personnel (r = .45, p < .05).
Table 3 contains the correlations for the Inpatient satisfaction
ratings. None of the correlations between revenue and Inpatient
ratings achieved significance. The trend tended to be in the
same direction as the Emergency Department ratings, such that
all
of the correlations were positive with the exception of the
Waiting rating (r = -.14, p > .05). The correlation was negative,
but was
rather small and non-significant.
A Quantitative Correlational Study on the Impact of Patient
Satisfaction on a Rural Hospital 4
© The Internet Journal of Allied Health Sciences and Practice,
2011
Table 2. Pearson Correlations Between Revenue and Emergency
Department Ratings (N=25)
1 2 3 4 5 6
1. Revenue --
2. STD tests .41* --
3. Courtesy (blood) .40* .85*** --
4. Concern (blood) .37 .86*** .96*** --
5. Wait (radiology) .14 .38 .19 .22 --
6. Courtesy (radiology) .38 .76*** .52** .55** .73*** --
7. Concern (radiology) .45* .57** .41* .43* .57** .84***
Table 3. Pearson Correlations Between Revenue and Inpatient
Ratings (N=25)
1 2 3 4 5 6
1. Revenue --
2. STD tests .13 --
3. Wait -.14 .76*** --
4. Explanations .16 .86*** .77*** --
5. Courtesy (blood) .14 .86*** .52** .75*** --
6. Courtesy (IV) .10 .86*** .55** .62*** .86*** --
RECOMMENDATIONS AND CONCLUSIONS
Health care institutions face closing due to decreased
reimbursements based on poor satisfaction scores of allied
health care
practitioners.6 Allied health care practitioners are not meeting
the emotional needs of patients.5 Current patient service models
are not allowing health care institutions to remain viable in a
consumer’s market. Although revenue was positively
significantly
correlated with three of the satisfaction ratings from the
Emergency Department, the current quantitative study did not
indicate a
significant relationship exists between allied health care
practitioner customer service skills and a hospital’s gross
revenue in the
inpatient setting.
In the current study, other trends and factors were identified
that correlated revenue and patient satisfaction. Seasonal factors
and trends were found to impact revenue in the rural hospital.
Revenue for 2008 was highest in October, which is traditionally
the
beginning of flu season and which increases hospital revenue
because the number of hospital visits increases. Hospital
revenue
was lowest in November for 2008. This occurrence is also
expected due to the holidays and physician vacations that occur
during this month. When physicians are out of their offices for
holidays, hospital revenue frequently decreases because the
number of patient visits to the hospital decreases. Revenue
generated when physicians send patients to the hospital for
diagnostic testing (i.e., laboratory or radiology) or for
admission through the Emergency Department is temporarily
lost.1
Recommendations
Health care leadership must implement this simple customer
service model, Take Care of Patients (TCOP) for allied health
care
practitioners to test its validity in a health care setting.
A Quantitative Correlational Study on the Impact of Patient
Satisfaction on a Rural Hospital 5
© The Internet Journal of Allied Health Sciences and Practice,
2011
Figure 1. Take Care of Patients
The focus of allied practitioners must be taking care of patients
completely. An assessment of patients’ total needs must be
performed so patient satisfaction can be achieved and the
greatest amount of revenue can be generated. Hospitals that
receive
the greatest government and private payer reimbursements will
remain open to serve patients. Health care facilities will remain
accessible and less expensive to patients when all
organizational decisions are made to take both technical and
emotional care
of patients.
Conclusion
With respect to inpatient ratings, the null hypothesis was not
rejected, and it could not be concluded that the hospital’s gross
revenue was related to mean inpatient satisfaction scores.
However, Emergency Department mean patient satisfaction
scores
were correlated to revenue in three areas of allied health care
practitioner skills: standard testing, courtesy of person
performing
blood collection, and courtesy of radiology personnel. Other
factors that affect hospital gross revenue such as health care
facility
location and seasonal trends were identified. Rural health care
facilities are a primary source of patient care for elderly and
uninsured residents in rural areas; therefore, taking care of
these patients will result in greater patient satisfaction scores
and
ultimately increased hospital revenue.
Based on the information gained from the study, a new model
for patient care was developed for exploration. Take Care of
Patients or TCOP is based on the premise that if rural health
care facilities are taking care of patients, by meeting or
exceeding
the patients’ expectations, all aspects of rural health care
survival, including patient satisfaction, will work together to
provide the
greatest care for patients and greatest reimbursement for the
health care facility.
REFERENCES
1. Chilgren AA. Managers and the new definition of quality.
Journal of Health Care Management. 2008 Jul;291-300.
2. St. Francis Hospital.org [Internet]. Tulsa: School of Medical
Technology; c2009 [updated 2009, June 12; cited 2009 Aug 18].
Available from
http://www.saintfrancis.com/documents/lab/school_med_tech.pd
f.
3. Centers for Medicare and Medicaid [Internet]. CMS
Consortia. c2008, January 16; cited 2009 Oct 16]. Available
from
http://www.cms.hhs.gov/home/rsds.asp.
4. Corn JB. Six sigma in health care. Radiologic Technology.
2009;207:92-5.
5. Casanas JA . The customer is always right: Implementing
customer service in the radiology department. Image. 2007
Dec;20(14):87-91.
•Suffient Revenue
Generated to
Remain Viable
•Health Care
Accessible and
Affordable
•Governement
Patient
Satisfaction
Benchmarks
Achieved
•75-80% of Rural
Hospital Revenue
Generated from
Allied Departments
(Laboratory &
Radiology)
Allied Health Care
Practitioners
Meet Techical and
Emotional Needs
of Patients
Patient
Satisfaction
Scores Increase
Greatest Amount
of Reimbursement
From Medicare
Rural Health Care
Facilities Remain
Open
A Quantitative Correlational Study on the Impact of Patient
Satisfaction on a Rural Hospital 6
© The Internet Journal of Allied Health Sciences and Practice,
2011
6. Press Ganey Associates [Internet]. Southbend: Press Ganey
Hospital Pulse Report: Patient Perspectives on American
Health Care; c2008-2009 [updated 2008 Aug 23; cited 2009 Jan
22]. Press Ganey Associates; [ 1 screen]. Avalilable from
http://www.pressganey.com/galleries /default-
File/2008_Hospital_Pulse_Report.pdf.
7. McNamara PE. State-level rural health policy. Journal of
Regional Analysis and Policy. 2007 Apr;37(3):56-9.
8. American Hospital Association. "Rural health care."
American Hospital Association. 2010. 21st February 2009.
http://www.aha.org/rural.
9. Barnett JE. The complete practitioner: Still a work in
progress. American Psychologist. 2009 May 15;64(26):793-801.
10. Hill T, Lewicki P. Methods and applications. Statistics.
2006 Dec;12(1):25-9.
11. Balanda KP, MacGillivray HL. Kurtosis: A critical review.
American Statistician. 1988 Feb;(42)(10):111-19.
© The Internet Journal of Allied Health Sciences and Practice,.docx

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  • 1. © The Internet Journal of Allied Health Sciences and Practice, 2011 A Peer Reviewed Publication of the College of Allied Health & Nursing at Nova Southeastern University Dedicated to allied health professional practice and education http://ijahsp.nova.edu A Quantitative Correlational Study on the Impact of Patient Satisfaction on a Laboratory Manager CITATION: Ellis-Jacobs K. A Quantitative Correlational Study on the Impact of Patient Satisfaction on a Rural Hospital Internet Journal of Allied Health Sciences and Practice. ABSTRACT The purpose of the quantitative, ex post facto, correlational research study was to describe a relationship between rural all health care mean customer satisfaction scores and allied health care departments’ generation of revenue for a hospita research method for the study was appropriate because it identified a relationship between two variables: the customer servic skills of allied health care practitioners and a hospital’s gross revenue. The study involved analyzing historical patient surveys and corresponding hospital revenue statements from a rural hospital in northeastern Oklahoma for a 25 The study revealed a correlation and impact of the allied health
  • 2. care practitioner on hospital survival. Revenue was p significantly correlated with three of the satisfaction ratings from the Emergency Department. tests (r = .41, p < .05), courtesy of the person drawing blood ( .05). None of the correlations between revenue and Inpatient ratings achieved significance. direction as the Emergency Department ratings, such that all of the correlations were positive with the exception of rating (r = -.14, p > .05). The correlation was negative, but was rather small and insignificant. INTRODUCTION Allied health care practitioners are a key factor in improving the quality of life of patients and increasing the satisfactio patients’ health care experiences.1 Allied health care departments in hospitals typically generate 75 therefore, the customer satisfaction skills of allied health care practitioners impact the satisfaction of a patient’s visit Health care leaders must ensure that patients that use the health facility are satisfied with the health care services receiv Patients assume that health care workers employed in a hospital are technically competent both technical excellence and compassionate health care. In a rural health care facility, patients hold power in the financial success of a hospital by using the facility for health Even though many rural areas have only one hos hospital reimbursement from Medicare because patient satisfaction will be considered a quality mandate beginning October 2012.3 This mandate will allow Medicare to pay hospitals practitioners are trained to perform technical analysis with competence; however, many rural allied practitioners lack adequa customer service skills.4 Patients visiting a health car health care practitioners often do not deliver on the expectation
  • 3. with incidents of long waits for service, rude staff, and uncompassionate practitioners.5 This lack of custome surveys and impact the amount of hospital reimbursement for Medicare patients service is no longer a choice for allied health care health care and changes in government and private payers allow health care consumers to choose where to obtain The specific problem is that rural hospitals face cl alth Sciences and Practice, 2011 A Peer Reviewed Publication of the College of Allied Health & Nursing at Nova Southeastern University edicated to allied health professional practice and education http://ijahsp.nova.edu Vol. 9 No. 4 ISSN 1540-580X A Quantitative Correlational Study on the Impact of Patient Satisfaction on a Rural Hospital Kerry Ellis-Jacobs, DM Laboratory Manager, Okmulgee Memorial Hospital, Okmulgee, Oklahoma United States A Quantitative Correlational Study on the Impact of Patient Satisfaction on a Rural Hospital Internet Journal of Allied Health Sciences and Practice. Oct 2011. Volume 9 Number 4.
  • 4. The purpose of the quantitative, ex post facto, correlational research study was to describe a relationship between rural all health care mean customer satisfaction scores and allied health care departments’ generation of revenue for a hospita research method for the study was appropriate because it identified a relationship between two variables: the customer servic skills of allied health care practitioners and a hospital’s gross revenue. The study involved analyzing historical patient surveys and corresponding hospital revenue statements from a rural hospital in northeastern Oklahoma for a 25 The study revealed a correlation and impact of the allied health care practitioner on hospital survival. Revenue was p significantly correlated with three of the satisfaction ratings from the Emergency Department. These correlations were for STD < .05), courtesy of the person drawing blood (r = .40, p = .05), and concern of radiology personnel ( .05). None of the correlations between revenue and Inpatient ratings achieved significance. The trend tended to be in the same direction as the Emergency Department ratings, such that all of the correlations were positive with the exception of The correlation was negative, but was rather small and insignificant. Allied health care practitioners are a key factor in improving the quality of life of patients and increasing the satisfactio Allied health care departments in hospitals typically generate 75-80% of hospital revenue; therefore, the customer satisfaction skills of allied health care practitioners impact the satisfaction of a patient’s visit Health care leaders must ensure that patients that use the health
  • 5. facility are satisfied with the health care services receiv assume that health care workers employed in a hospital are technically competent.1 A patient’s quality of l and compassionate health care.2 In a rural health care facility, patients hold power in the financial success of a hospital by using the facility for health Even though many rural areas have only one hospital within a 50 mile or greater radius, health care consumers will influence hospital reimbursement from Medicare because patient satisfaction will be considered a quality mandate beginning October This mandate will allow Medicare to pay hospitals for services based on patient satisfaction scores practitioners are trained to perform technical analysis with competence; however, many rural allied practitioners lack adequa Patients visiting a health care facility for services expect a certain level of quality and satisfaction, but health care practitioners often do not deliver on the expectation with incidents of long waits for service, rude staff, and This lack of customer satisfaction will be reflected in government mandated patient satisfaction surveys and impact the amount of hospital reimbursement for Medicare patients.5 The general problem was excellent customer service is no longer a choice for allied health care practitioners but an expectation from health care consumers. health care and changes in government and private payers allow health care consumers to choose where to obtain The specific problem is that rural hospitals face closure because of decreased reimbursement from government and private
  • 6. A Peer Reviewed Publication of the College of Allied Health & Nursing at Nova Southeastern University A Quantitative Correlational Study on the Impact of Patient Satisfaction on a A Quantitative Correlational Study on the Impact of Patient Satisfaction on a Rural Hospital. The The purpose of the quantitative, ex post facto, correlational research study was to describe a relationship between rural allied health care mean customer satisfaction scores and allied health care departments’ generation of revenue for a hospital. The research method for the study was appropriate because it identified a relationship between two variables: the customer service skills of allied health care practitioners and a hospital’s gross revenue. The study involved analyzing historical patient satisfaction surveys and corresponding hospital revenue statements from a rural hospital in northeastern Oklahoma for a 25-month period. The study revealed a correlation and impact of the allied health care practitioner on hospital survival. Revenue was positively These correlations were for STD = .05), and concern of radiology personnel (r = .45, p < The trend tended to be in the same direction as the Emergency Department ratings, such that all of
  • 7. the correlations were positive with the exception of the Waiting Allied health care practitioners are a key factor in improving the quality of life of patients and increasing the satisfaction of 80% of hospital revenue; therefore, the customer satisfaction skills of allied health care practitioners impact the satisfaction of a patient’s visit to a hospital. Health care leaders must ensure that patients that use the health facility are satisfied with the health care services received. A patient’s quality of life requires In a rural health care facility, patients hold power in the financial success of a hospital by using the facility for health care needs. pital within a 50 mile or greater radius, health care consumers will influence hospital reimbursement from Medicare because patient satisfaction will be considered a quality mandate beginning October for services based on patient satisfaction scores.3 Allied health care practitioners are trained to perform technical analysis with competence; however, many rural allied practitioners lack adequate e facility for services expect a certain level of quality and satisfaction, but health care practitioners often do not deliver on the expectation with incidents of long waits for service, rude staff, and mandated patient satisfaction
  • 8. The general problem was excellent customer tion from health care consumers.5 Recent trends in health care and changes in government and private payers allow health care consumers to choose where to obtain health care.6 decreased reimbursement from government and private A Quantitative Correlational Study on the Impact of Patient Satisfaction on a Rural Hospital 2 © The Internet Journal of Allied Health Sciences and Practice, 2011 payers. Recent trends in health care reimbursement base future payment for services on allied health care practitioners’ customer satisfaction scores, which leads to less accessible and more expensive health care. Health care leaders must increase patient satisfaction scores through training and education to emphasize the importance of a positive patient experience to the survival of health care facilities.5 In 2008, The Centers for Medicare and Medicaid Services (CMS) and many private insurers included patient satisfaction as a quality mandate3. Hospitals that receive Medicare payments were required to participate in patient satisfaction surveys and report these results to CMS. In October 2012, Medicare reimbursements to health care facilities could decrease by as much as 2%, if hospitals do not meet the benchmark patient satisfaction goals determined by CMS.3 Rural hospitals face closing because of these possible decreased Medicare reimbursements.7 Over
  • 9. 500 rural hospitals have closed since 1990 because health care consumers chose to travel farther to receive health care and pay more for services to receive excellent customer services based on the public reporting of hospital satisfaction scores initiated in 2008.8 In many rural health care facilities, gross revenues result primarily from inpatient stays and allied departments, particularly laboratory and radiology services.5 As allied health care practitioners understand patients’ needs and satisfy those needs customer satisfaction increases.5 Health care practitioners once considered patients an intrusion on their time, but in the near future these practitioners will depend on customers for reimbursement because of satisfaction survey responses mandated by the federal government.5 The relationship between these two variables could provide health care leaders with a patient service model that demonstrates a cycle of revenue generation and hospital survival that will help health care remain accessible and less expensive for rural residents. Patient-centered health care quality models currently exist; however, these models do not recognize impact of allied health care practitioners on hospital revenue generation.9 METHOD The purpose of the current quantitative, ex post facto, correlational research study was to describe a correlation between allied personnel customer satisfaction scores and a hospital’s gross revenue. The study involved analyzing 25 months of historical patient satisfaction survey mean scores and revenue statements from a rural hospital in northeastern Oklahoma. The current
  • 10. study involved identifying a relationship between two variables: the customer service skills of allied health care practitioners and a hospital’s financial success. The current study included data in the form of statistical figures and tables. Revenue reports and patient satisfaction surveys for the same period were analyzed. The research question for the current study integrated leadership, customer satisfaction, and allied health care professionals’ training: R1: What is the relationship, if any, between allied health care practitioners’ customer service skills and a hospital’s gross revenue? In consideration of the customer satisfaction–profitability relationship and the research question, the study included the following hypotheses: H01: No correlation exists between the hospital’s allied health care department’s revenue and various measures of allied health care customer satisfaction from April 2008 to April 2010. H1: A correlation exists between the hospital’s allied health care department’s revenue and various measures of allied health care customer satisfaction from April 2008 to April 2010. Data were analyzed by Pearson correlations that assumed the two variables were measured on at least interval scales, and Pearson correlations determine the extent to which values of the two variables are proportional to each other.10 The value of correlation or a correlation coefficient does not depend on the specific measurement units used. Proportional means linearly related; that is, the correlation is high if it can be summarized by a straight line sloped upward or downward. The line is called the regression line because it is determined such that the sum of the
  • 11. squared distances of all the data points from the line is the lowest possible.10 Pearson correlations were computed between the monthly measures of revenue and the various satisfaction ratings for the Emergency Department and Inpatient areas separately to test the hypothesis. Correlations were flagged as significant if the p value was less than or equal to .05. The correlations that pertained to the hypothesis are in the first column under revenue for each table. These are the correlations between hospital revenue profit and each satisfaction rating. The rest of the correlations represent correlations among the ratings. These do not pertain to the hypothesis, but are shown for interest. A Quantitative Correlational Study on the Impact of Patient Satisfaction on a Rural Hospital 3 © The Internet Journal of Allied Health Sciences and Practice, 2011 RESULTS The findings indicated the null hypothesis was rejected in the Emergency Department setting, but the null hypothesis was not rejected in the Inpatient setting. Several possible correlations between allied health care customer satisfaction and a hospital’s gross revenue were identified but not significant. Patient satisfaction scores for health care practitioner performance were divided into two categories: Emergency Department visits and Inpatient admissions. Table 1 presents descriptive statistics consisting of the mean, standard deviation, and range (minimum score to
  • 12. maximum score) for hospital gross revenue and for each of the satisfaction ratings for the Emergency Department and Inpatient categories. Measures of skewness and kurtosis were also computed to assess normality of the measures. Skewness and kurtosis values of zero are indicative of a normal distribution, and values between -2 and +2 signify no problematic deviations from normality.11 The measures of skewness and kurtosis were all between the values of -2 and +2. Thus, the variables were deemed sufficiently and normally distributed that parametric statistics (i.e., Pearson correlations) could be appropriately applied in analyzing these variables. Table 1. Descriptive Statistics for Revenue and Satisfaction Ratings: April 2008 to April 2010 Range M SD Min. Max Skewness Kurtosis Revenue (in millions) $3.08 $2.96 2.48 $3.74 0.21 -0.17 Emergency Department ratings STD tests 77.45 10.87 57.2 92.9 -0.44 -0.57 Courtesy (blood) 76.51 12.13 57.2 95.8 -0.31 -1.23 Concern (blood) 76.38 12.72 57.2 96.4 -0.05 -1.21 Wait (radiology) 70.90 18.97 25 100 -0.91 1.04 Courtesy (radiology) 81.12 10.04 65 100 0.34 -0.78
  • 13. Concern (radiology) 77.93 11.24 50 100 -0.02 0.81 Inpatient ratings STD tests 81.81 4.65 70.8 93.0 -0.31 1.49 Wait 77.91 4.21 69.3 87.5 0.15 0.21 Explanations 80.16 6.53 65.0 90.6 -0.68 0.34 Courtesy (blood) 84.44 4.74 75.0 96.9 0.31 0.98 Courtesy (IV) 84.61 4.51 77.3 96.9 0.78 0.65 Correlations To test the hypothesis, Pearson correlations were computed between the monthly measures of revenue and the various satisfaction ratings for the Emergency Department and Inpatient areas separately. Table 2 displays the correlations for the Emergency Department ratings, and Table 3 displays the correlations for the Inpatient ratings. Correlations were flagged as significant if the p value was less than or equal to .05. The correlations that pertain to the hypothesis are in the first column under revenue for each table. These are the correlations between hospital gross profit and each satisfaction rating. The rest of the correlations represent correlations among the ratings. These do not pertain to the hypothesis, but are shown for interest. As displayed in Table 2, revenue was positively significantly correlated with three of the satisfaction ratings from the Emergency
  • 14. Department. These correlations were for STD tests (r = .41, p < .05), courtesy of the person drawing blood (r = .40, p = .05), and concern of radiology personnel (r = .45, p < .05). Table 3 contains the correlations for the Inpatient satisfaction ratings. None of the correlations between revenue and Inpatient ratings achieved significance. The trend tended to be in the same direction as the Emergency Department ratings, such that all of the correlations were positive with the exception of the Waiting rating (r = -.14, p > .05). The correlation was negative, but was rather small and non-significant. A Quantitative Correlational Study on the Impact of Patient Satisfaction on a Rural Hospital 4 © The Internet Journal of Allied Health Sciences and Practice, 2011 Table 2. Pearson Correlations Between Revenue and Emergency Department Ratings (N=25) 1 2 3 4 5 6 1. Revenue --
  • 15. 2. STD tests .41* -- 3. Courtesy (blood) .40* .85*** -- 4. Concern (blood) .37 .86*** .96*** -- 5. Wait (radiology) .14 .38 .19 .22 -- 6. Courtesy (radiology) .38 .76*** .52** .55** .73*** -- 7. Concern (radiology) .45* .57** .41* .43* .57** .84*** Table 3. Pearson Correlations Between Revenue and Inpatient Ratings (N=25) 1 2 3 4 5 6 1. Revenue -- 2. STD tests .13 -- 3. Wait -.14 .76*** -- 4. Explanations .16 .86*** .77*** -- 5. Courtesy (blood) .14 .86*** .52** .75*** -- 6. Courtesy (IV) .10 .86*** .55** .62*** .86*** -- RECOMMENDATIONS AND CONCLUSIONS Health care institutions face closing due to decreased reimbursements based on poor satisfaction scores of allied health care
  • 16. practitioners.6 Allied health care practitioners are not meeting the emotional needs of patients.5 Current patient service models are not allowing health care institutions to remain viable in a consumer’s market. Although revenue was positively significantly correlated with three of the satisfaction ratings from the Emergency Department, the current quantitative study did not indicate a significant relationship exists between allied health care practitioner customer service skills and a hospital’s gross revenue in the inpatient setting. In the current study, other trends and factors were identified that correlated revenue and patient satisfaction. Seasonal factors and trends were found to impact revenue in the rural hospital. Revenue for 2008 was highest in October, which is traditionally the beginning of flu season and which increases hospital revenue because the number of hospital visits increases. Hospital revenue was lowest in November for 2008. This occurrence is also expected due to the holidays and physician vacations that occur during this month. When physicians are out of their offices for holidays, hospital revenue frequently decreases because the number of patient visits to the hospital decreases. Revenue generated when physicians send patients to the hospital for diagnostic testing (i.e., laboratory or radiology) or for admission through the Emergency Department is temporarily lost.1 Recommendations Health care leadership must implement this simple customer service model, Take Care of Patients (TCOP) for allied health care
  • 17. practitioners to test its validity in a health care setting. A Quantitative Correlational Study on the Impact of Patient Satisfaction on a Rural Hospital 5 © The Internet Journal of Allied Health Sciences and Practice, 2011 Figure 1. Take Care of Patients The focus of allied practitioners must be taking care of patients completely. An assessment of patients’ total needs must be performed so patient satisfaction can be achieved and the greatest amount of revenue can be generated. Hospitals that receive the greatest government and private payer reimbursements will remain open to serve patients. Health care facilities will remain accessible and less expensive to patients when all organizational decisions are made to take both technical and emotional care of patients. Conclusion With respect to inpatient ratings, the null hypothesis was not rejected, and it could not be concluded that the hospital’s gross revenue was related to mean inpatient satisfaction scores. However, Emergency Department mean patient satisfaction scores
  • 18. were correlated to revenue in three areas of allied health care practitioner skills: standard testing, courtesy of person performing blood collection, and courtesy of radiology personnel. Other factors that affect hospital gross revenue such as health care facility location and seasonal trends were identified. Rural health care facilities are a primary source of patient care for elderly and uninsured residents in rural areas; therefore, taking care of these patients will result in greater patient satisfaction scores and ultimately increased hospital revenue. Based on the information gained from the study, a new model for patient care was developed for exploration. Take Care of Patients or TCOP is based on the premise that if rural health care facilities are taking care of patients, by meeting or exceeding the patients’ expectations, all aspects of rural health care survival, including patient satisfaction, will work together to provide the greatest care for patients and greatest reimbursement for the health care facility. REFERENCES 1. Chilgren AA. Managers and the new definition of quality. Journal of Health Care Management. 2008 Jul;291-300. 2. St. Francis Hospital.org [Internet]. Tulsa: School of Medical Technology; c2009 [updated 2009, June 12; cited 2009 Aug 18]. Available from http://www.saintfrancis.com/documents/lab/school_med_tech.pd f. 3. Centers for Medicare and Medicaid [Internet]. CMS
  • 19. Consortia. c2008, January 16; cited 2009 Oct 16]. Available from http://www.cms.hhs.gov/home/rsds.asp. 4. Corn JB. Six sigma in health care. Radiologic Technology. 2009;207:92-5. 5. Casanas JA . The customer is always right: Implementing customer service in the radiology department. Image. 2007 Dec;20(14):87-91. •Suffient Revenue Generated to Remain Viable •Health Care Accessible and Affordable •Governement Patient Satisfaction Benchmarks Achieved •75-80% of Rural Hospital Revenue
  • 20. Generated from Allied Departments (Laboratory & Radiology) Allied Health Care Practitioners Meet Techical and Emotional Needs of Patients Patient Satisfaction Scores Increase Greatest Amount of Reimbursement From Medicare Rural Health Care Facilities Remain Open
  • 21. A Quantitative Correlational Study on the Impact of Patient Satisfaction on a Rural Hospital 6 © The Internet Journal of Allied Health Sciences and Practice, 2011 6. Press Ganey Associates [Internet]. Southbend: Press Ganey Hospital Pulse Report: Patient Perspectives on American Health Care; c2008-2009 [updated 2008 Aug 23; cited 2009 Jan 22]. Press Ganey Associates; [ 1 screen]. Avalilable from http://www.pressganey.com/galleries /default- File/2008_Hospital_Pulse_Report.pdf. 7. McNamara PE. State-level rural health policy. Journal of Regional Analysis and Policy. 2007 Apr;37(3):56-9. 8. American Hospital Association. "Rural health care." American Hospital Association. 2010. 21st February 2009. http://www.aha.org/rural. 9. Barnett JE. The complete practitioner: Still a work in progress. American Psychologist. 2009 May 15;64(26):793-801. 10. Hill T, Lewicki P. Methods and applications. Statistics. 2006 Dec;12(1):25-9. 11. Balanda KP, MacGillivray HL. Kurtosis: A critical review. American Statistician. 1988 Feb;(42)(10):111-19.