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IOSR Journal of Pharmacy and Biological Sciences (IOSR-JPBS)
e-ISSN: 2278-3008, p-ISSN:2319-7676. Volume 10, Issue 6 Ver. I (Nov - Dec. 2015), PP 43-50
www.iosrjournals.org
DOI: 10.9790/3008-10614350 www.iosrjournals.org 43 | Page
Study of medication appropriateness during hospital stay and
revisits in medicine department of tertiary care hospital
Vineeta Dhyani1
, Pankaj Mohan Dhyani2
, Geetanjali Salimath1
,
Charu Pundir3
1
(Department of Pharmacy Practice, K.L.E College of Pharmacy, K.L.E University, India)
2
(Department of Pharmacology, S.G.R.R.I.T., Uttarakhand Technical University, India)
3
(Department of Pharmacology, K.L.E College of Pharmacy, K.L.E University, India)
Abstract: The primary objective was to identify the medication reconciliations among elderly, based on Lund
integrated medicines management (LIMM), during their admission and discharge from hospitals. The secondary
objective was to study the impact of LIMM based patients within 6 months of their hospital discharge and
revisits. It was a prospective surveillance study in which 120 patients aged ≥65 years or old intervention
patients, received LIMM model. The control patients received standard care medication reconciliation at
discharge by the help of medication appropriateness index (MAI). This study evaluated the appropriateness on
admission and discharge, and assessed, whether the drug related problem was the reason of readmission or
visiting to hospital within 6 months of discharge. It was observed that there was a significant decrease in the
number of inappropriateness drugs in the intervention group as compared to control group. Hence, there was a
significant inappropriateness observed in elderly patients which indicates the medication reconciliation and
review according to LIMM and reduce the number of inappropriate drug and number of revisits.
Keywords - Medication appropriateness index; Medication inappropriateness in elderly; Drug-drug
interaction; Medication review; LIMM model.
I. Introduction
Drug treatment is a key necessity of medical care for the elderly patients and has the potential to reduce
morbidity and mortality in order to ensure good health. However, problems related to drug treatment are
common among elderly hospitalized patients, who further interfere with desired health outcomes [1-2]. Drug-
related problems (DRP) are the world’s fourth leading causes of death [3-5]. Possible underlying causes of drug-
related hospital admissions have been identified; as an instance due to medication errors, suboptimal
prescription, poor patient compliance, polypharmacy, insufficient monitoring and follow-up and lack of
information among patients [6-7]. Thus, it becomes very important to study, identify the root cause and correct
the medication errors. As an integrated medicines management approach, various methods have been widely
used in several countries in order to find the reason for medication inappropriateness to improve the health care
deliver [8-9]. It is the need of an hour to implement rationale use of standard and accurate medication systems at
the time of admission, to prevent medication errors and other drug reactions during the hospital stay and at
discharge [10-11]. Incorporating pharmacist recommendations, use of computerized alerts, review of patient’s
medication list and patient education systems can be used to study medication inappropriateness, which is
supported by controlled trials, thus providing a higher level of evidence to support [12]. Review of patient’s
medication list is the widely used tool to assess medication inappropriateness (MI) using MAI scoring method
[13]. Medication appropriateness was effectively used by Lund integrated medicines management (LIMM)
model [14]. LIMM model offers a systemic approach for individualizing and optimizing drug treatment in
elderly patients [14-19]. Since for past 10 years, this model has been widely used in many Swedish hospitals to
assess MI. The key principle underlying this model is to access a clinical intervention that can reduce the
chances of medication errors. These interventions are supposed to be given at the time of hospital admission,
team interventions for medication reviews and monitoring during the hospital stay [20] [21-23] [24-27]. The
model covers various aspects of the use of medications from appropriate prescriptions to the way in which drugs
have to be taken or not taken by the patients. It is a validated instrument to study medication inappropriateness
by ensuring that the medication regimen is appropriate, safe, cost effective and correct use [25]. Earlier studies
showed positive effects on the appropriateness of drug therapy using LIMM model, and this model is widely
used by many medical scientists. However, this model is associated with certain limitations when used in India,
due to improper maintenance of patient’s records, insufficient administrative services, absence of clinical
pharmacist in hospitals and standard medication lists. The present work was carried out mainly to study and
identify the medication reconciliations among elderly, based on LIMM, during their admission and discharge
from hospitals. The secondary objective was to examine the impact of LIMM based patients within 6 months of
their hospital discharge and revisits.
Study of medication appropriateness during hospital stay and revisits in medicine department of…
DOI: 10.9790/3008-10614350 www.iosrjournals.org 44 | Page
II. Methods
It was a prospective surveillance study. Comparison of patients receiving LIMM-based medication
reconciliation upon admission and discharge and medication reviews during the hospital stay (intervention
group) and LIMM–based discharge medication reconciliation (control group). Inclusion criteria: Patients, aged
≥ 65 years of either gender hospitalized in IPD in medicine ward and willing to participate in the study, patients
who were prescribed at least 1 drug for regular use and the patients revisiting to medicine OPD were enrolled in
the study.
Exclusion criteria: Patients visiting to other OPD/IPD of other than medicine ward, patients who had been
staying in study wards during one of previous inclusion dates were excluded from the study.
The study was approved by Institutional ethics committee and issued ethical clearance certificate for the same.
2.1 Medication appropriateness index (MAI) based on LIMM model
The 10 parameters constituting the MAI are-medication requiring therapeutic drug monitoring,
inappropriate medication, improper handling of medication, drug-drug interaction, medication or dose not
adopted to patient characteristics, unnecessary drug treatment, untreated symptom or disease, medication which
changes the lab value, generic or analogue substitution according to regional interchangeable medication list,
DRP’s identified during the medication reconciliation and interview.
These parameters were accessed by Medication Appropriateness Index (MAI) scale as shown in Table
2. In this scale, scoring was given as appropriate (A), moderately appropriate (B) and in appropriate (C). A score
of zero was given for a drug which is appropriate or marginally appropriate. MAI criteria that were considered
to be inappropriate were scored 1, 2 or 3 for each drug. For indication and effectiveness a weight of three was
assigned. A weight of two was assigned to dosage, practical directions, correct directions and drug-drug
interaction. A weight of one was given to drug-disease interactions, expense, duplication and duration. This
resulted in a total combined score of 0 to 18 (0 representing that the drug is appropriate and 18 representing
maximal inappropriateness). MAI scores were combined for each prescribed drug to yield score for each
patient.
2.2 Timeline for study procedure
Data was collected for initial three months for assessment of appropriateness of drug therapy and
thereafter interventions was planned and adopted. Then, for next three months cases were reviewed
subsequently to observe the post intervention change in behavior and rationality of drug therapy in elderly
patients. Data analysis, drafting and submission of manuscript were done in next four months.
2.3 Intervention
The standard patient medication list was identified and preserved. The standard medication list was
compared with the prescriptions in case of any problem in the prescription, which was brought to the notice of
physician changes in the prescription. Data collection was done under LIMM model. Complete wellbeing of
patient was confirmed by telephonic means. Revisits were advised if the patient was not recovered. Obtained
data were segregated and recorded in tabular form. Number of revisits was recorded. Review of drug therapy
post discharge was done.
Drug therapy was reviewed by investigator at the time of discharge. Drugs, advised by concerned
physician were subjected to review for appropriateness as per Beer’s criteria [29-31] and patients were advised
based on that considering the type of medication, dose, frequency and duration of therapy.
2.4 Data interpretation
Data was analyzed using Student’s t-test at the end of study. Medical charts were reviewed for
treatment regimen, number of drug, and duration of hospital stay. The median length of stay in hospital was 15
days in intervention group and 8-12 days in control group.
III. Results
Out of 143 patients eligible for inclusion, 120 were enrolled in the study. Gender, age and number of
patient admission were same in both groups. The characteristics of study population are summarized in Table 1.
The median length of stay in hospital was 15 days in intervention group and 8-12 days in control group
(p= 0.0097). A comparison of study population in both groups is shown in Table 1.
Study of medication appropriateness during hospital stay and revisits in medicine department of…
DOI: 10.9790/3008-10614350 www.iosrjournals.org 45 | Page
Table 1 Characteristics of study population
3.1 Intervention and MAI Score
MAI scores were given for individual parameters of individual patients. The summation of each
parameter of all patients is tabulated in Table 2.
It was found that there was more inappropriateness observed in indication, expense and drug- disease
interaction. However, there was no difference observed in other parameters like dosage, duration, practical
direction, drug-drug interaction, duplication, effectiveness and correct directions. Overall assessment of MAI
score showed significant decrease in intervention group when compared to that of control group.
Table 2 MAI score of patients
MAI criteria Intervention group Control group
Admission Discharge Admission Discharge
Indication 36 6 36 27
Expense 36 6 32 24
Duration 30 7 28 24
Drug-disease interaction 24 6 28 18
Dosage 18 6 18 14
Practical direction 12 6 16 14
Drug-drug interaction 12 5 12 10
Duplication 6 4 8 4
Effectiveness 6 3 4 2
Correct directions 3 0 4 1
Overall 183 42 186 138
3.2 Drug related revisits
During six months of the study, there were 38 revisits in intervention group and 46 in control group.
From these revisits, there were 37 casual follow-up of the medication with one revisits due to drug related
problem in intervention group. In control group there were 40 casual follow-up revisits with six revisits due to
drug related problem. Summary of data is shown in Table 3.
Table 3 Analysis of hospital related revisits
Group Diagnosis at admission Drug involved Type of revisit
Control Hypotension Amitriptyline/10mg
(1-0-1)
ADR (drug stopped)
Control Blood in urine and painful urination Tab-pioglitazone 15mg (1-0-1) Therapeutic failure
(discontinuation)
Control Respiratory distress Furesemide Therapeutic failure
Control Hyperkalemia Spironolactone ADR
Control Pedal edema Pioglitazone ADR
Control Trachycardia with Atrial fibrillation Digoxin Therapeutic failure
Control Hyotension Cap. Nefidipine Therapeutic failure(dose
reduction)
Intervention Dry mouth Tab parkin 2mg Therapeutic failure
Study of medication appropriateness during hospital stay and revisits in medicine department of…
DOI: 10.9790/3008-10614350 www.iosrjournals.org 46 | Page
IV. Discussion
Based on overall MAI scoring, significant difference (p = 0.0097) between interventions (76.67%) and
control group (25.81%) was observed. The clinical observation of patients, suggested that the medication
inappropriateness due to indication, expense and practical directions was reduced due to intervention. The study
recommended the use of generic drugs which could significantly decrease the expense. The results of this study
showed that intervention of patient on admission, during stay and discharge, as per the LIMM model, resulted in
significant decrease in the number of medication inappropriate drugs consumed by elderly hospitalized patients.
Overall % of MAI scoring was decreased in intervention group (76.67%) when compared to that of control
group (25.81%). Bergkvist et al. demonstrated a multi-intervention study using LIMM model, corroborates with
the results obtained in our study. It suggested that intervention of patients during admission and discharge leads
to decrease in medication inappropriateness. Burnett KM et al. observed similar results over pharmaceutical
care, integrated medicines management or other collaborative approaches in hospitalized patients have also
shown improvements in the appropriateness of medications (decrease in the MAI scores). In view of this, one
could avoid summing or subtracting scores, which is generally not recommended when dealing with ordered
categorical data (i.e. the MAI scores A, B and C) [12]. Results are shown in the form of MAI scores in order to
facilitate comparison with previous studies. Study presented herein showed that the average patient MAI score
in the intervention group at discharge was lower than that in most other studies (indicating more appropriate
prescribing). Moreover, the number of patients during admission was same and MAI scores were also close with
no significant difference. This similarity in both control and intervention group led to convenient comparison of
MAI scores after intervention. Hellström L et al. showed the validity of the MAI which indicates that this tool
can reliably predict clinical patient outcomes. Lund et al. showed that inappropriate prescribing, according to a
modified MAI score, is associated with adverse drug events in older men, and Schmader et al. demonstrated an
association between worse MAI scores and poorer blood pressure control and use of more health services. Their
study population was similar to our study population. Study presented revealed that excess and unwanted
diagnostic tests were recommended which led to increase in MAI score of indication and expense. After
intervention it was found that both these parameters were improved by 83.33%. Although the number of patients
was statistically significant, large scale randomized studies need to be done to estimate the true incidence of
inappropriate medication. Blinded assessment of medication inappropriateness using LIMM model with more
number of patient could be helpful to validate our findings.
V. Figures
Figure 1: Graphical presentation of characteristics of study population.
Study of medication appropriateness during hospital stay and revisits in medicine department of…
DOI: 10.9790/3008-10614350 www.iosrjournals.org 47 | Page
Figure 2: Comparison of MAI scores during admission
Figure 3: Comparison of MAI scores during admission
Study of medication appropriateness during hospital stay and revisits in medicine department of…
DOI: 10.9790/3008-10614350 www.iosrjournals.org 48 | Page
Figure 4: Comparison of MAI scores during admission.
Figure 5: Comparison of MAI scores during discharge
Study of medication appropriateness during hospital stay and revisits in medicine department of…
DOI: 10.9790/3008-10614350 www.iosrjournals.org 49 | Page
Figure 6: Comparison of drug related revisits in intervention and control group
VI. Conclusion
The results of this study indicate that medication reconcillation and reviews according to LIMM reduced
the number of inappropriate drug and number of revisits.
Acknowledgements
We acknowledge Professor M.S. Ganachari, Head of department of Pharmacy Practice, KLE
University, Belagavi, Karnataka, for his valuable guidance and Lina hellström for allowing us to use LIMM
model.
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Study of medication appropriateness during hospital stay and revisits in medicine department of tertiary care hospital

  • 1. IOSR Journal of Pharmacy and Biological Sciences (IOSR-JPBS) e-ISSN: 2278-3008, p-ISSN:2319-7676. Volume 10, Issue 6 Ver. I (Nov - Dec. 2015), PP 43-50 www.iosrjournals.org DOI: 10.9790/3008-10614350 www.iosrjournals.org 43 | Page Study of medication appropriateness during hospital stay and revisits in medicine department of tertiary care hospital Vineeta Dhyani1 , Pankaj Mohan Dhyani2 , Geetanjali Salimath1 , Charu Pundir3 1 (Department of Pharmacy Practice, K.L.E College of Pharmacy, K.L.E University, India) 2 (Department of Pharmacology, S.G.R.R.I.T., Uttarakhand Technical University, India) 3 (Department of Pharmacology, K.L.E College of Pharmacy, K.L.E University, India) Abstract: The primary objective was to identify the medication reconciliations among elderly, based on Lund integrated medicines management (LIMM), during their admission and discharge from hospitals. The secondary objective was to study the impact of LIMM based patients within 6 months of their hospital discharge and revisits. It was a prospective surveillance study in which 120 patients aged ≥65 years or old intervention patients, received LIMM model. The control patients received standard care medication reconciliation at discharge by the help of medication appropriateness index (MAI). This study evaluated the appropriateness on admission and discharge, and assessed, whether the drug related problem was the reason of readmission or visiting to hospital within 6 months of discharge. It was observed that there was a significant decrease in the number of inappropriateness drugs in the intervention group as compared to control group. Hence, there was a significant inappropriateness observed in elderly patients which indicates the medication reconciliation and review according to LIMM and reduce the number of inappropriate drug and number of revisits. Keywords - Medication appropriateness index; Medication inappropriateness in elderly; Drug-drug interaction; Medication review; LIMM model. I. Introduction Drug treatment is a key necessity of medical care for the elderly patients and has the potential to reduce morbidity and mortality in order to ensure good health. However, problems related to drug treatment are common among elderly hospitalized patients, who further interfere with desired health outcomes [1-2]. Drug- related problems (DRP) are the world’s fourth leading causes of death [3-5]. Possible underlying causes of drug- related hospital admissions have been identified; as an instance due to medication errors, suboptimal prescription, poor patient compliance, polypharmacy, insufficient monitoring and follow-up and lack of information among patients [6-7]. Thus, it becomes very important to study, identify the root cause and correct the medication errors. As an integrated medicines management approach, various methods have been widely used in several countries in order to find the reason for medication inappropriateness to improve the health care deliver [8-9]. It is the need of an hour to implement rationale use of standard and accurate medication systems at the time of admission, to prevent medication errors and other drug reactions during the hospital stay and at discharge [10-11]. Incorporating pharmacist recommendations, use of computerized alerts, review of patient’s medication list and patient education systems can be used to study medication inappropriateness, which is supported by controlled trials, thus providing a higher level of evidence to support [12]. Review of patient’s medication list is the widely used tool to assess medication inappropriateness (MI) using MAI scoring method [13]. Medication appropriateness was effectively used by Lund integrated medicines management (LIMM) model [14]. LIMM model offers a systemic approach for individualizing and optimizing drug treatment in elderly patients [14-19]. Since for past 10 years, this model has been widely used in many Swedish hospitals to assess MI. The key principle underlying this model is to access a clinical intervention that can reduce the chances of medication errors. These interventions are supposed to be given at the time of hospital admission, team interventions for medication reviews and monitoring during the hospital stay [20] [21-23] [24-27]. The model covers various aspects of the use of medications from appropriate prescriptions to the way in which drugs have to be taken or not taken by the patients. It is a validated instrument to study medication inappropriateness by ensuring that the medication regimen is appropriate, safe, cost effective and correct use [25]. Earlier studies showed positive effects on the appropriateness of drug therapy using LIMM model, and this model is widely used by many medical scientists. However, this model is associated with certain limitations when used in India, due to improper maintenance of patient’s records, insufficient administrative services, absence of clinical pharmacist in hospitals and standard medication lists. The present work was carried out mainly to study and identify the medication reconciliations among elderly, based on LIMM, during their admission and discharge from hospitals. The secondary objective was to examine the impact of LIMM based patients within 6 months of their hospital discharge and revisits.
  • 2. Study of medication appropriateness during hospital stay and revisits in medicine department of… DOI: 10.9790/3008-10614350 www.iosrjournals.org 44 | Page II. Methods It was a prospective surveillance study. Comparison of patients receiving LIMM-based medication reconciliation upon admission and discharge and medication reviews during the hospital stay (intervention group) and LIMM–based discharge medication reconciliation (control group). Inclusion criteria: Patients, aged ≥ 65 years of either gender hospitalized in IPD in medicine ward and willing to participate in the study, patients who were prescribed at least 1 drug for regular use and the patients revisiting to medicine OPD were enrolled in the study. Exclusion criteria: Patients visiting to other OPD/IPD of other than medicine ward, patients who had been staying in study wards during one of previous inclusion dates were excluded from the study. The study was approved by Institutional ethics committee and issued ethical clearance certificate for the same. 2.1 Medication appropriateness index (MAI) based on LIMM model The 10 parameters constituting the MAI are-medication requiring therapeutic drug monitoring, inappropriate medication, improper handling of medication, drug-drug interaction, medication or dose not adopted to patient characteristics, unnecessary drug treatment, untreated symptom or disease, medication which changes the lab value, generic or analogue substitution according to regional interchangeable medication list, DRP’s identified during the medication reconciliation and interview. These parameters were accessed by Medication Appropriateness Index (MAI) scale as shown in Table 2. In this scale, scoring was given as appropriate (A), moderately appropriate (B) and in appropriate (C). A score of zero was given for a drug which is appropriate or marginally appropriate. MAI criteria that were considered to be inappropriate were scored 1, 2 or 3 for each drug. For indication and effectiveness a weight of three was assigned. A weight of two was assigned to dosage, practical directions, correct directions and drug-drug interaction. A weight of one was given to drug-disease interactions, expense, duplication and duration. This resulted in a total combined score of 0 to 18 (0 representing that the drug is appropriate and 18 representing maximal inappropriateness). MAI scores were combined for each prescribed drug to yield score for each patient. 2.2 Timeline for study procedure Data was collected for initial three months for assessment of appropriateness of drug therapy and thereafter interventions was planned and adopted. Then, for next three months cases were reviewed subsequently to observe the post intervention change in behavior and rationality of drug therapy in elderly patients. Data analysis, drafting and submission of manuscript were done in next four months. 2.3 Intervention The standard patient medication list was identified and preserved. The standard medication list was compared with the prescriptions in case of any problem in the prescription, which was brought to the notice of physician changes in the prescription. Data collection was done under LIMM model. Complete wellbeing of patient was confirmed by telephonic means. Revisits were advised if the patient was not recovered. Obtained data were segregated and recorded in tabular form. Number of revisits was recorded. Review of drug therapy post discharge was done. Drug therapy was reviewed by investigator at the time of discharge. Drugs, advised by concerned physician were subjected to review for appropriateness as per Beer’s criteria [29-31] and patients were advised based on that considering the type of medication, dose, frequency and duration of therapy. 2.4 Data interpretation Data was analyzed using Student’s t-test at the end of study. Medical charts were reviewed for treatment regimen, number of drug, and duration of hospital stay. The median length of stay in hospital was 15 days in intervention group and 8-12 days in control group. III. Results Out of 143 patients eligible for inclusion, 120 were enrolled in the study. Gender, age and number of patient admission were same in both groups. The characteristics of study population are summarized in Table 1. The median length of stay in hospital was 15 days in intervention group and 8-12 days in control group (p= 0.0097). A comparison of study population in both groups is shown in Table 1.
  • 3. Study of medication appropriateness during hospital stay and revisits in medicine department of… DOI: 10.9790/3008-10614350 www.iosrjournals.org 45 | Page Table 1 Characteristics of study population 3.1 Intervention and MAI Score MAI scores were given for individual parameters of individual patients. The summation of each parameter of all patients is tabulated in Table 2. It was found that there was more inappropriateness observed in indication, expense and drug- disease interaction. However, there was no difference observed in other parameters like dosage, duration, practical direction, drug-drug interaction, duplication, effectiveness and correct directions. Overall assessment of MAI score showed significant decrease in intervention group when compared to that of control group. Table 2 MAI score of patients MAI criteria Intervention group Control group Admission Discharge Admission Discharge Indication 36 6 36 27 Expense 36 6 32 24 Duration 30 7 28 24 Drug-disease interaction 24 6 28 18 Dosage 18 6 18 14 Practical direction 12 6 16 14 Drug-drug interaction 12 5 12 10 Duplication 6 4 8 4 Effectiveness 6 3 4 2 Correct directions 3 0 4 1 Overall 183 42 186 138 3.2 Drug related revisits During six months of the study, there were 38 revisits in intervention group and 46 in control group. From these revisits, there were 37 casual follow-up of the medication with one revisits due to drug related problem in intervention group. In control group there were 40 casual follow-up revisits with six revisits due to drug related problem. Summary of data is shown in Table 3. Table 3 Analysis of hospital related revisits Group Diagnosis at admission Drug involved Type of revisit Control Hypotension Amitriptyline/10mg (1-0-1) ADR (drug stopped) Control Blood in urine and painful urination Tab-pioglitazone 15mg (1-0-1) Therapeutic failure (discontinuation) Control Respiratory distress Furesemide Therapeutic failure Control Hyperkalemia Spironolactone ADR Control Pedal edema Pioglitazone ADR Control Trachycardia with Atrial fibrillation Digoxin Therapeutic failure Control Hyotension Cap. Nefidipine Therapeutic failure(dose reduction) Intervention Dry mouth Tab parkin 2mg Therapeutic failure
  • 4. Study of medication appropriateness during hospital stay and revisits in medicine department of… DOI: 10.9790/3008-10614350 www.iosrjournals.org 46 | Page IV. Discussion Based on overall MAI scoring, significant difference (p = 0.0097) between interventions (76.67%) and control group (25.81%) was observed. The clinical observation of patients, suggested that the medication inappropriateness due to indication, expense and practical directions was reduced due to intervention. The study recommended the use of generic drugs which could significantly decrease the expense. The results of this study showed that intervention of patient on admission, during stay and discharge, as per the LIMM model, resulted in significant decrease in the number of medication inappropriate drugs consumed by elderly hospitalized patients. Overall % of MAI scoring was decreased in intervention group (76.67%) when compared to that of control group (25.81%). Bergkvist et al. demonstrated a multi-intervention study using LIMM model, corroborates with the results obtained in our study. It suggested that intervention of patients during admission and discharge leads to decrease in medication inappropriateness. Burnett KM et al. observed similar results over pharmaceutical care, integrated medicines management or other collaborative approaches in hospitalized patients have also shown improvements in the appropriateness of medications (decrease in the MAI scores). In view of this, one could avoid summing or subtracting scores, which is generally not recommended when dealing with ordered categorical data (i.e. the MAI scores A, B and C) [12]. Results are shown in the form of MAI scores in order to facilitate comparison with previous studies. Study presented herein showed that the average patient MAI score in the intervention group at discharge was lower than that in most other studies (indicating more appropriate prescribing). Moreover, the number of patients during admission was same and MAI scores were also close with no significant difference. This similarity in both control and intervention group led to convenient comparison of MAI scores after intervention. Hellström L et al. showed the validity of the MAI which indicates that this tool can reliably predict clinical patient outcomes. Lund et al. showed that inappropriate prescribing, according to a modified MAI score, is associated with adverse drug events in older men, and Schmader et al. demonstrated an association between worse MAI scores and poorer blood pressure control and use of more health services. Their study population was similar to our study population. Study presented revealed that excess and unwanted diagnostic tests were recommended which led to increase in MAI score of indication and expense. After intervention it was found that both these parameters were improved by 83.33%. Although the number of patients was statistically significant, large scale randomized studies need to be done to estimate the true incidence of inappropriate medication. Blinded assessment of medication inappropriateness using LIMM model with more number of patient could be helpful to validate our findings. V. Figures Figure 1: Graphical presentation of characteristics of study population.
  • 5. Study of medication appropriateness during hospital stay and revisits in medicine department of… DOI: 10.9790/3008-10614350 www.iosrjournals.org 47 | Page Figure 2: Comparison of MAI scores during admission Figure 3: Comparison of MAI scores during admission
  • 6. Study of medication appropriateness during hospital stay and revisits in medicine department of… DOI: 10.9790/3008-10614350 www.iosrjournals.org 48 | Page Figure 4: Comparison of MAI scores during admission. Figure 5: Comparison of MAI scores during discharge
  • 7. Study of medication appropriateness during hospital stay and revisits in medicine department of… DOI: 10.9790/3008-10614350 www.iosrjournals.org 49 | Page Figure 6: Comparison of drug related revisits in intervention and control group VI. Conclusion The results of this study indicate that medication reconcillation and reviews according to LIMM reduced the number of inappropriate drug and number of revisits. Acknowledgements We acknowledge Professor M.S. Ganachari, Head of department of Pharmacy Practice, KLE University, Belagavi, Karnataka, for his valuable guidance and Lina hellström for allowing us to use LIMM model. References [1]. L.M. Hellström, Å. Bondesson, P. Höglund, T. Eriksson, Errors in medication history at hospital admission: prevalence and predicting factors. BioMed Central; 12(1), 2012. [2]. R. Elliott, Geriatric pharmacy practice, in G. Parthasarathi, K.N. Hansen, M.C. Nahata (Ed.), A Text Book of Clinical Pharmacy Practice, (Chennai: Orient Longman Private Limited; 2004) 190-218. [3]. F. Napolitano, M.T. Izzo, G. Di. Giuseppe, I.F. Angelillo, Frequency of Inappropriate Medication Prescription in Hospitalized Elderly Patients in Italy, PloS ONE; 8(12), 2013, 8-14. [4]. J. Bremner, A. Frost, C. Haub, M. Mather, K. Ringheim, E. Zuehlke, Old age dependency. Popul Bull; 65, 2010, 6-8. [5]. G.K. Ingle, A. Nath, Geriatric health in India: Concerns and solutions, Indian Journal of Community Medicine; 33, 2008, 214-218. [6]. R. Bressler, J.J. Bahl, Principles of drug therapy for the elderly patient, Mayo Clin Proceedings; 78, 2003, 1564-1577. [7]. C.I. Starner, S.L. Gray, D.R. Guay, E.R. Hajjar, S.M. Handler, J.T. Hanlon, Geriatrics, in J.T. Dipiro, R.L. Talbert, G.C. Yee, G.R. Matzake, B.G. Wells, L.M. Posey (Ed.), Pharmacotherapy a Pathophysiologic Approach 7 (New York: McGraw-Hill Medical; 2008) 57-66. [8]. E.F. Liz. Inappropriate multiple medications and prescribing of drugs in elderly patients: Do we do what we can? Atención Primaria; 38(9), 2006, 476-482. [9]. Y. Koh, F.B. Kutty, S.C. Li, Drug related problems in hospitalized patients on polypharmacy: The influence of age and gender, Therapeutics and clinical risk management; 1, 2005, 39-48. [10]. C. Zhan. Inappropriate medication use in the elderly, Geriatric Pharmacy Practice; 2005, 29-33. [11]. M.L. Laroche, J.P. Charmes, Y. Nouaille, N. Picard, L. Merle, Is inappropriate medication use a major cause of adverse drug reactions in the elderly? British Journal of Clinical Pharmacology; 63, 2006, 177-186. [12]. M. Howard, L. Dolovich, J. Kaczorowski, C. Sellors, J. Sellors, Prescribing of potentially inappropriate medications to elderly people, Family Practice; 21, 2004, 244-247. [13]. I.D. Alexa, S. Stoica, P. Burca, L. Obreja, R.I. Rusu, G. Ungureanu, et al, Noncompliance in a large population of elderly patients with cardiovascular disease, Journal of Clinical Medicine; 1, 2006,14-18. [14]. S.O. Martins, M.A. Soares, J.W. Vanmil, Cabrita, Inappropriate drug use by Portuguese elderly outpatients-effect of the Beers criteria update, American Journal of Managed Care; 10, 2004, 711-718. [15]. S.G. Prabha, P.A. Rodrigues, V.A. Kumar, S. Lavanya, Drug usage in geriatrics, International Journal of Community Pharmacy; 2, 2009,34-41.
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