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7/30/2019 Ethical Issues In Pharmaceutical Marketing
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Ethical issues in Pharmaceutical Marketing
ADIL KHAN
(11-MBA-35)
under the supervision ofAJAY SHARMA(CO-PROPRIETOR)
SK Pharma (new Delhi)
Summer training presentation
on the project
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CONTENTS
Chapter 1
INTRODUCTION
Chapter 2
ORGANIZATIONAL OVERVIEWChapter 3
AN OVERVIEW OF PHARMACEUTICAL
INDUSTRY IN INDIA
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CONTENTS
Chapter4LITERATURE REVIEW: UNETHICAL PRACTICES IN
PHARMA INDUSTRY
Chapter 5
RESEARCH METHODOLOGY
Chapter 6
DATA ANALYSIS
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CONTENTS
Chapter 7
CONCLUDING DISCUSSION
Chapter8
RECOMMENDATIONS AND LIMITATIONS OF THE
STUDY
9. BIBLIOGRAPHY
10. APPENDICES
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OBJECTIVEOFSTUDY
this report we will discuss the various ethical issues
surrounding Indian Pharma industry with special focus
towards uneth ical market ing p ract ices.
We will contrast the att i tude of Patients and Docto rs
towards certain ethical dimensions.
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RESEARCH METHODOLOGY
Research type- Descriptive
Data collected Primary data
Instrument Structured, non-disguised questionnaire
Analytical tool- SPSS software
Sample size 80 (40+40)
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Data analysis
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1. How important are following criterion for doctors
while prescribing the medicine.
Criteria RankCompany imagePercentage marginPersonal RelationSelf-evaluation of medicinal brand
Rank them from 1-4
1=Most important4=least important
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Rank Patients Doctors Combined
1 Company image Company image Company image
2 Self-evaluation of
medicinal brand
Self-evaluation of
medicinal brand
Self-evaluation of
medicinal brand
3 Percentage margin Personal Relation Personal Relation
4 Personal Relation
With M.R.s
Percentage margin Percentage margin
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2. How appropriate are the following gifts for physicians to accept?
Highly appropriate Highly Inappropriate
5 4 3 2 1
Stationary
(Pen/pad etc.)
Samples
Medical exhibition
Conference fare
Recreation tour
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Stationary Samples Medical
exhibition
conference
fare
recreation
tour
Mann-Whitney U 618.000 641.000 428.000 367.500 508.000
Wilcoxon W 1438.000 1461.000 1248.000 1187.500 1328.000
Z -1.814 -1.617 -3.667 -4.305 -3.146
Asymp. Sig.
(2-tailed)
.070 .106 .000 .000 .002
In above cases Mann-Whitney U test is performed
In first two variables that are for Stationary and Samples ,05(p> .05) hence null
hypotheses cannot be rejected.
For next three variables (Medical exhibition, conference and recreation tour) null
hypothesis is rejected (p
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Test of Hypothesis for overall view of Question no.2
H0= There is significant difference between the overall opinion of doctors
and patients for appropriateness of accepting a gift.
H1= There is no significant difference between the overall opinion of
doctors and patients for appropriateness of accepting gift.
Table 1: One-Sample Kolmogorov-Smirnov Test, Q.no.2
Aggregate
1-5
N 80
Normal
Parameters(a,b)
Mean 15.81
Std. Deviation 3.019
Most Extreme
Differences
Absolute .128
Positive .081
Negative -.128
Kolmogorov-Smirnov Z 1.144
Asymp. Sig. (2-tailed) .146
The data distribution is found to be normal so t-test can be performed.
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Table 14: T- test, Q.no.2
If sig>.05 then equal variance assumed row will be considered
Here sig.
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3. Giving/receiving gift is close to bribery
Extremely
agree
Moderately
agree
Neither
agree
nor
disagree
Moderately-
disagree
Extremely
disagree
Mann-Whitney U 420.500Wilcoxon W 1240.500Z -3.750Asymp. Sig. (2-
tailed).000
sig.
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4. In your opinion who is/are responsible in promoting unethical marketing?
Highly responsible------------------------------------------------------ not at all responsible
5 4 3 2 1
Pharmaceutical
companies
Medical Representative
Chemists
Doctors
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Doctors Patients Doctors Patients Doctors Patients Doctors Patients
4(a ) Pharmaceutical companies 4(b) Medical Representative 4(c) Chemists 4(d) Doctors
EA 42.50% 55.00% 10.00% 27.50% 32.50% 60.00% 0 17.50%
MA 37.50% 17.50% 37.50% 25.00% 15.00% 20.00% 12.50% 35.00%
ND 7.50% 15.00% 32.50% 25.00% 17.50% 10.00% 20.00% 27.50%
MD 12.50% 12.50% 17.50% 20.00% 25.00% 10.00% 12.50% 15.00%
ED 0 0 2.50% 2.50% 10.00% 0 32.50% 5.00%
0
0.2
0.4
0.6
0.8
1
1.2
Ax
isTitle
Q.4 In your opinion who is/are responsible in promoting unethicalmarketing?
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ANALYSISFROM FREQUENCY TABLES
1. 72% patients believe that Pharmaceutical companies areresponsible in unethical marketing,
2. While 80% doctors also have same opinion.
3. 52 % of patients think that medical representatives indulge in
unethical marketing practices.4. On the other hand only 47.5% of doctors have the same
opinion.
5. 80% of Patients believe that Chemists are engaged inunethical marketing/selling of drugs.
6. Contrast to this only 47 % of Doctors have similar opinion.
7. 62 % patients believe that doctors are also engaged inunethical practices.
8. Doctors obviously are not agreeing to this allegation.
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Test Statistics, Q.no. 4 Pharmaceuticalcompanies
Medical
RepresentativeChemists Doctors
Mann-Whitney U 747.000 715.500 498.000 510.000Wilcoxon W 1567.000 1535.500 1318.000 1330.000Z -.550 -.842 -3.084 -2.887Asymp. Sig. (2 tailed) .582 .400 .002 .004H0 can not be rejected forfirst two variables i.e. pharmaceutical
companies and Medical representative.
We may infer that there is no significant difference opinion both doctors
and patients consider them equally responsible or in promoting unethicalpromotion of pharmaceutical products.
H0 can not be accepted in case of last two variables i.e. Chemists and
Doctors.
There is a significant difference in opinion of Doctors and Patients.
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For over all view of Question no.4 data is assumed to be interval
and test for normality is conducted
4) Who is responsible for unethical Pharma marketing? Overall viewN 80
Normal Parameters(a,b) Mean 14.41Std. Deviation 2.073
Most Extreme Differences Absolute .128Positive .104Negative -.128
Kolmogorov-Smirnov Z 1.146Asymp. Sig. (2-tailed) .145
Distribution is normal so we can conduct t- test on
this data.
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4) Who is responsible
for unethical Pharma
marketing?
Levene's Test for
Equality of
Variances
t-test for Equality of Means
F Sig. T df Sig.
(2 tailed)
Mean
Difference
Std. Error
Difference
Equal
variances
assumed
.717 .400 5.1
50
78 .000 2.07 .403
Equal
variances not
assumed
5.1
50
75.133 .000 2.07 .403
For Levenes sig.>.05, so Equal variances assumed row will be considered.
In this row Sig. (2-tailed)
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5. It is Ok for professional bodies (MCI, DCI etc.) to endorse private brands
Extremely
agree
Moderately
agree
Neither
agree
nor
disagree
Moderately-
disagree
Extremely
disagree
Mann-Whitney U 464.000Wilcoxon W 1284.000Z -3.332Asymp. Sig. (2-tailed) .001
H0 can not be
accepted as there is a
significant difference
between the opinions
of Patients and
Doctors.
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ED MD ND MA EA
Patient 7.50% 20% 27.50% 32.50% 12.50%
Doctor 22.50% 35% 27.50% 15% 0
0.00%
5.00%
10.00%
15.00%
20.00%
25.00%
30.00%
35.00%
40.00%
Q.5 It is Ok for professional bodies (MCI, DCIetc.) to endorse private brands
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6. Doctors should write only generic name/ chemical name while prescribing
medicine.
Extremely
agree
Moderately
agree
Neither
agree
nor
disagree
Moderately-
disagree
Extremely
disagree
Mann-Whitney U 796.500Wilcoxon W 1616.500Z -.035Asymp. Sig. (2-tailed) .972
Here sig>.972, H0 cannot
be rejected.so we can
say there is nosignificant difference
between the opinion of
doctors and patients.
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ED MD ND MA EA
Patient % 12.50% 27.50% 10.00% 20.00% 30.00%
Doctor % 15.00% 27.50% 15.00% 5.00% 37.50%
0.00%
5.00%
10.00%
15.00%20.00%
25.00%
30.00%
35.00%
40.00%
Q.6 Doctors should write only generic name/chemical name while prescribing medicine.
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7. Do you agree that pharmaceutical companies inspire you for unethical promotion of
their products?
Extremely
agree
Moderately
agree
Neither
agree
nor
disagree
Moderately-
disagree
Extremely
disagree
Mann-Whitney U
686.000
Wilcoxon W 1506.000Z -1.143
Asymp. Sig. (2-tailed) .253
Here sig.>.05, H0 cannot be
rejected.
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ED MD ND MA EA
Patient 0.00% 5.00% 22.50% 37.50% 35.00%
Doctor 12.50% 22.50% 7.50% 17.50% 40.00%
0.00%
5.00%
10.00%
15.00%
20.00%
25.00%30.00%
35.00%
40.00%
45.00%
Q.7 Do you agree that pharmaceutical companiesinspire Doctors for unethical promotion of their
products?
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8. Frequent samples help you to determine quality of medicine for prescription.
Extremely
agree
Moderately
agree
Neither
agreenor
disagree
Moderately-
disagree
Extremely
disagree
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Interpretation (Question No. 8)
80% of Doctors maintains that frequent samples help in
determining the Quality of medicine for prescription.
Only 7.5 % of Doctors have opposite view.
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9. Medical representatives satisfy your queries about new promotional drug.
Extremely
agree
Moderately
agree
Neither
agree
nor
disagree
Moderately-
disagree
Extremely
disagree
9) Medical representatives satisfy your queries about
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Interpretation (Question No. 9)
55% are agree with above statement.
Only 27.5% are not agree.
0.00% 10.00% 20.00% 30.00% 40.00% 50.00%
ED
MD
ND
MA
EA
ED MD ND MA EA
Q.9 15.00% 12.50% 17.50% 45.00% 10.00%
9) Medical representatives satisfy your queries aboutnew promotional drug.
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10. Mostly, doctors provide samples to their patients free of cost.
Extremely
agree
Moderately
agree
Neither
agreenor
disagree
Moderately-
disagree
Extremely
disagree
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10.00%
30.00%
20.00%
30.00%
10.00%
0.00%2.50%
5.00%
60.00%
32.50%
0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
70.00%
SD MD ND Ma EA
Patients % Doctors %Interpretation from frequency table (Question No. 10)
92.5% of Doctors says that they provide samples free of cost to
patients while only 40 % of patients are agree with this.
40% of Patients have not received any sample from any doctor or it
may be just their opinion.
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Test of Hypotheses Q.no.10
H0: There is no significant difference between the two groups about
above statement
H1: There is a significant difference between the two groups about
above statement.
SamplesMann-Whitney U 336.000Wilcoxon W 1156.000Z -4.725Asymp. Sig. (2-tailed) .000
We have s ig .
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RECOMMENDATION
strong legislation
supported by the norms and values of the society
strong enforcement of existing rules and regulations
Health education Consumer awareness
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RECOMMENDATION
pharmaceutical industry should also restrict itself up
to ethical marketing
Pharmaceutical companies must adopt the
concepts of Corporate Social Responsibility and
Sustainable Development.
The Sales Representative should be able to provide
accurate information, without exaggeration of the
capabilities, and be able to inform of the property
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LIMITATIONS
a case study of Aligarh region only
Small sample
Non-probability sample
Reluctantly of respondents Segregation of specialties
Other demographic segregation
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THANKS