• No results found

Polypharmacy and inappropriate medicines  among participants in the MedBridge study

N/A
N/A
Protected

Academic year: 2022

Share "Polypharmacy and inappropriate medicines  among participants in the MedBridge study"

Copied!
24
0
0

Loading.... (view fulltext now)

Full text

(1)

Polypharmacy and inappropriate medicines among participants in the MedBridge study

Hanna Holst

Magister Degree Project in Drug Management, 15 hp, Master of Science Programme in Drug Management, Spring semester 2019

Uppsala University Hospital

Supervisor: Ulrika Gillespie

Examiner: Margareta Hammarlund-Udenaes

Division of Pharmacokinetics and Drug Therapy Department of Pharmaceutical Biosciences Faculty of Pharmacy

Uppsala University

(2)

Abstract

Introduction: Polypharmacy and inappropriate medication are common issues in elderly patients. Older people are more likely to suffer from adverse drug reactions and other drug-related problems due to the increased presence of multimorbidity,

inappropriate polypharmacy, age related impairments in the hepatic metabolism and renal clearance of medication and enhanced pharmacodynamic sensitivity to specific drugs.

Aim: The aim of this study was to analyze, compare and describe medication use in the MedBridge study population, in total and for different patient groups.

Materials and Methods: Medication data from approximately 700 patients from Uppsala University Hospital and the hospital of Enköping was extracted from the medical record system and stored in an electronic data capture system. This data was joined together with the collected data from the other 1939 study participants and exported to Microsoft excel for analyses.

Results: The mean value of prescribed medicines was 9.2. Women had significantly higher (p<0.05) number of prescribed medicines. Participants aged 85 or older had the highest number of prescribed medicines and participant between 65-74 had the least prescribed medicines. The mean value was significantly higher (p<0.05) for women aged 85 years or older and women between 75-85 years compared with women aged 65- 74. In this population 461 patients (17.4%) used at least one inappropriate medicine. Of all the women 18.8% used at least one inappropriate medicine and 15.7% of all the men.

Women aged 85 years or older used the most inappropriate medicines and men between 65-74 used the least. Women aged 85 or older used significantly (p<0.05) higher

amount of inappropriate medicines than women aged 65-74 years did.

Conclusion: In conclusion, this report shows that many of our elderly haves’

polypharmacy and that women are using more medicines than men and more inappropriate medicines than men. It also indicates that the older you get, the more medicines you use.

(3)

Populärvetenskaplig sammanfattning

Användandet av många läkemedel, polyfarmaci, och användningen av läkemedel som är olämpliga är vanliga problem hos äldre patienter. Äldre personer har lättare att drabbas av problem relaterade till läkemedelsanvändningen på grund av att de ofta är multisjuka, har många läkemedel som kan krocka med varandra (interaktioner), får åldersrelaterade förändringar i levern och njurarna som påverkar nedbrytningen av läkemedlen samt förändringar i kroppen som gör att äldre blir känsligare för vissa typer av läkemedel.

Den här studien syftade till att analysera, beskriva och jämföra läkemedelsanvändningen i MedBridge studiens patientpopulation. För att göra det samlades läkemedelslistor in från journalsystemet Cosmic och sparades därefter i en databas. När all data var

insamlad exporterades de till Microsoft Excel för att analyseras. Resultaten visade bland annat att medelvärdet för förskrivna läkemedel var 9,2 per person och att kvinnor använde signifikant mer läkemedel än män. Patienter som var 85 år eller äldre hade flest läkemedel och patienter mellan 65 och 74 år det lägsta antalet förskrivna läkemedel.

Kvinnor som var 85 år eller äldre var den grupp som använde flest läkemedel och män mellan 65 och 74 år använde minst läkemedel. Medelvärdet för antalet läkemedel var signifikant högre för kvinnor som var 85 år eller äldre samt för kvinnor mellan 75 och 84 år jämfört med kvinnor i åldersgruppen 65–74 år. Av alla patienter i studien använde 17,4% åtminstone ett olämpligt läkemedel. Av alla kvinnor hade 18,8% minst ett

olämpligt läkemedel och 15,7% av alla män. Kvinnor som var 85 år eller äldre hade flest olämpliga läkemedel förskrivna och män mellan 65 och 74 år hade det lägsta antalet. Kvinnor över 85 år använde signifikant fler olämpliga läkemedel jämfört med kvinnor mellan 65–74 år. Den här studien visar på att polyfarmaci är mycket vanligt hos äldre samt att kvinnor använder fler läkemedel än vad män gör och att de använder flera olämpliga läkemedel jämfört med män. Studien visar också på att

läkemedelsanvändningen ökar med stigande ålder.

(4)

Table of content

Abstract _____________________________________________________________ 2 Populärvetenskaplig sammanfattning _____________________________________ 3 Table of content _______________________________________________________ 4 1 Introduction _______________________________________________________ 5 1.1 Number of prescribed medicines_________________________________________ 5 1.2 Consequences of inappropriate polypharmacy _____________________________ 6 1.3 Inappropriate medicines _______________________________________________ 6 1.3.1 Anticholinergic medicines ____________________________________________________ 7 1.3.2 Long-acting benzodiazepines __________________________________________________ 7 1.3.3 Tramadol and codeine _______________________________________________________ 8 1.3.4 Antidiabetic pharmaceuticals _________________________________________________ 8 1.3.5 Inappropriate dosage and drug regimes _________________________________________ 8 1.3.6 inappropriate drug combinations ______________________________________________ 9 1.4 Preventing problems with inappropriate polypharmacy and inappropriate medications __ 9 1.5 The MedBridge study _______________________________________________________ 10

2 Aim_____________________________________________________________ 10 2.1 Objectives __________________________________________________________ 10 3 Materials and Methods ____________________________________________ 11

3.1 Setting and study population ___________________________________________ 11 3.1.1 inclusion criteria ___________________________________________________________ 11 3.1.2 Inappropriate medicines ____________________________________________________ 11

4 Results __________________________________________________________ 14 5 Discussion _______________________________________________________ 18 6 Conclusion _______________________________________________________ 19 7 Refences ________________________________________________________ 20

(5)

1 Introduction

The prescribing of medicines is a fundamental component of care for the elderly (1–4).

However, there is an increasing concern with polypharmacy. Polypharmacy and

inappropriate medications are common issues in elderly patients (1). Polypharmacy has many definitions, in this study, polypharmacy is defined as 5 or more prescribed

medicines (4) and an inappropriate medication is by definition a medicine whose adverse risks exceed its health benefits (1). Older people are more likely to suffer from adverse drug reactions and other drug-related problems due to the increased presence of multimorbidity, inappropriate polypharmacy, age-related impairments in the hepatic metabolism and renal clearance of medications and enhanced pharmacodynamic sensitivity to specific drugs (1,3,5). Inappropriate-polypharmacy is associated with a negative impact on morbidity, mortality and costs (6). Optimizing medicine prescribing for this group of patients has become an important public health issue worldwide.

Prescribing for elderly can be a challenge for clinicians as the health status of elderly people ranges widely from those who are fit to those who are frail. This makes generalization of prescribing decisions difficult (3).

1.1 Number of prescribed medicines

Several studies show that the number of medications prescribed to patients older than 65 year is increasing (7–9). A study made in 2002 points out that in patients older than 65 years of age 12% of the study population used at least 10 prescription medicines and 23% at least 5 (8). Another study from 2018 made in Sweden including patients aged 75 or older, states that 68% of the population used five or more prescribed medicines and that 19% used over 10 prescribed medicines (9). A study from 2000 made in Sweden, including the general population aged 75 or older living at home, states that 87% of the study population received at least one prescribed drug (10). Of those who received prescribed medicines, 60% used three or more medicines and 34% used five or more medicines. The study did also point out that 32% of the study populations received prescribed drugs from two or more physicians. In 15% the investigators found potential drug-drug interactions (10).

(6)

1.2 Consequences of inappropriate polypharmacy

Polypharmacy is often clinically indicated and beneficial in specific condition’s like diabetes mellitus and different heart diseases. However, the use of multiple medicines poses medication safety risks to patients (11,12). It has been reported that patients taking 5 or more medications had an 88% increased risk of experiencing an adverse drug event (13). Studies on the subjects have been done and they all say the same;

patients with polypharmacy are more likely to be hospitalized from adverse drug events (13,14). Adverse drug events can cause suffering and inconvenience for the patient and their families and can also cause hospitalizations, which represent a high cost for society (12,15). One concern with inappropriate polypharmacy is that it increases healthcare costs, both for the patient and the healthcare system (16). The higher the number of prescribed medicines the higher the risk of potentially serious drug-drug interactions (11). A study analyzing data from data bases stated that 81% of patients receiving over 15 medicines were exposed to potentially serious interactions compared to 11% of those dispended two to four medicines (11). The prevalence of drug-drug interactions from a study made in 2005 was 15-40% in frail elderly patients (17). The risk of drug-disease interactions (contra-indications) also increases with an increased number of prescribed medicines (18).

1.3 Inappropriate medicines

Inappropriate medicines are common among elderly patients. In this patient group inappropriate drugs increase the risk of adverse outcomes (1). A study made in 2016 points out that 44% of the study population had been prescribed an inappropriate medicine (19). Studies have shown that there is a positive correlation between

inappropriate prescribing and negative quality of life (3). Some of the adverse outcomes from inappropriate medicines are cognitive impairment and functional decline (6). The use of inappropriate medicines is increased in patients taking multiple medications (1).

A study from Sweden studying the Swedish prescribed drug register over the period 2006-2013 showed, however, that the prescribing of inappropriate medicines to patients aged 65 or older has decreased. The positive trend was more pronounced for those aged 75 or older. The investigators of the study point out the improvements were likely to be

(7)

due to increased knowledge and attention by prescribers regarding inappropriate medicines, increased discussion around inappropriate medicines and the publication of the national guidelines Indicators of good drug use in elderly, in 2009 (20). The inappropriate medicines, dosage regimes and medicine combination prescribed below were chosen from Indicators of good drug use in elderly, national indicators from The Swedish National Board of Health and Welfare (21).

1.3.1 Anticholinergic medicines

Anticholinergic medicines is a class of medicines that blocks the neurotransmitter acetylcholine in the brain and peripheral tissues (22). Pharmacokinetic changes in the body that are age-related make the elderly population more sensitive to this type of medicines (23). The most significant change is the increased permeability of the blood brain barrier as a result of dilation of blood vessels and opening of tight junctions (24).

These changes make the elderly more sensitive to the central adverse effects (25) and can cause adverse reactions such as falls, malnutrition, confusion, acute urinary retention and memory loss (26,27). A study of 750 people aged >65 years shows that individuals using anticholinergic medicines were more likely to have cognitive impairment than those using non-anticholinergic medications (28).

1.3.2 Long-acting benzodiazepines

When ageing, the volume of water in the body decreases and the proportion of fat increases. These changes lead to an increased accumulation of fat-soluble medicines such as benzodiazepines (29,30). The increased accumulation can lead to adverse effects such as falls, fractures, cognitive impairment and dependency (30,31). A study made in 2013 looking at the association between falls rates and the use of

benzodiazepines discovered that 59% had experienced one or more fall while using benzodiazepines during a one year period (32). A study which compared the

accumulation between short-acting and long-acting benzodiazepines states that long- acting benzodiazepines accumulate more than short-acting benzodiazepines (30). The same study also states that the elimination of long-acting benzodiazepines was much longer than for short-acting benzodiazepines (30).

(8)

1.3.3 Tramadol and codeine

Tramadol and codeine are weak opioids used to treat pain (33). The risk of getting side effects from the central nervous system of tramadol increases with increased aged. Such adverse reactions can be tiredness, dizziness and confusion (34). Tramadol is therefore not recommended to treat pain in elderly. Codeine does not give specific adverse drug reactions to elderly (35). The reason for the recommendation to not use codeine in elderly is the individual variability in its effectiveness which depends on drug

metabolism into its active metabolites (35). The variability is even bigger in the elderly population and it may lead to lack of effect (35).

1.3.4 Antidiabetic pharmaceuticals

Glibenclamide and pioglitazone are two medicines used to treat diabetes (36–38).

Glibenclamide is a sulfonylurea compound and pioglitazone is a thiazolidinedione (38).

Glibenclamide has active metabolites and a long half-life which leads to a higher risk of hypoglycemia (36). Glibenclamide is to a high extent excreted by the kidneys. The kidney function deteriorates with age, which puts the elderly population at higher risk for hypoglycemia (36,37). The unbeneficial side effect profile of pioglitazone makes the medicine inappropriate to use. Studies confirms that pioglitazone gives an increased risk for fluid retention, heart failure and osteoporosis (38–40).

1.3.5 Inappropriate dosage and drug regimes

Acetylsalicylic acid is a platelet aggregation inhibitor with several different indication (41). Studies haves shown that higher doses than 75 mg do not give a better effect, in fact studies show that higher doses gives an increased risk for gastrointestinal ulcers, bleeding and negative impact on the kidney function. Therefor higher doses than 75 mg should not be used (41). Zopiclone is used for treating insomnia and oxazepam is used for treating insomnia and anxiety (42). When given in higher doses than zopiclone 7,5 mg/day and oxazepam 30 mg/day the risk of adverse drug reactions such as daytime sleepiness, dizziness and negative cognitive impact increases (42,43). Higher doses of zopiclone and oxazepam should therefore not be used. The use of psychotropic

medicines is often justified and necessary, but the use of too many psychotropics, to one individual, does not only increase the risk of adverse drug reactions and drug-drug interactions, it can also be a sign that there are shortcomings in the treatment of the

(9)

patient’s psychiatric conditions (44–46). There-fore the number of psychotropic

medicines should not be higher than 3 and if it is – this should lead to investigations and reconsiderations of the treatment (45). Changes in pharmacokinetics and

pharmacodynamics associated with aging lead to increased risk of adverse effects such as sedation, confusion and increased risk of falls (47). The increased risk of adverse effects in combination with studies showing that elderly on a regular basis were prescribed 3 or more psychotropics medicines lead to the limit of 3 or more psychotropics (47).

1.3.6 inappropriate drug combinations

Double blockade of the renin-angiotensin system increases the risk for hypotension, hyperkalemia and renal impairment, including renal failure. Therefore the combination of two medicines, both blocking the renin-angiotensin system is not recommended (48).

Cardio selective calcium antagonist in combination whit beta blockers have a negative inotropic effect. The combination leads to an additive effect in the heart´s AV

conduction with the risk of conduction disorders and should therefore not be used (49).

Donepezil in combination with citalopram increases the risk of QT prolongation which increases the risk for severe heart rhythm disorders. Both citalopram and donepezil individually increase the risk of QT prolongation by inducing inhibition of calcium channel and should therefore not be used together (50). Anticoagulants, like warfarin and acetylsalicylic acid, in combination with non-steroidal anti-inflammatory drugs increase the risk of bleeding more than just the use of one of them in monotherapy (14,51,52). Proton-pump inhibitors is proven to reduce the risk of gastrointestinal bleeding (53,54). The combination of anticoagulants and non-steroidal anti-

inflammatory medicines should not be used without a proton-pump inhibitor (55,56).

1.4 Preventing problems with inappropriate polypharmacy and inappropriate medications

Evidence based prescribing is one of the key challenges to achieving appropriate medication use among the population (57). Another challenge is to optimize patients medications after needs, preferences and values (58). Optimizing patients’ medications involves encouraging the use of appropriate medicines, in a way that the patient is

(10)

willing and able to comply with, to treating the diseases according to established guidelines, as well as targeting both over- and under prescribing (58). One strategy to optimize patients medication treatments is to preform medication reviews (59–62). A study from Sweden studied how pharmacists preforming the medication reviews could reduce the number of prescribed medicines and the number of inappropriate

medications (59). The pharmacists found 3868 drug related problems and 2860 of these received an intervention recommendation to withdraw a medicine, decrease the dose and change of medicine therapy. These interventions led to a decrease in the mean of prescribed medicines from 11.3 to 10.5 (59). A study from 2014 states that up to 30% of all hospitalizations in older patients are medication-related and that half of these are preventable (63).

1.5 The MedBridge study

Medication Reviews Bridging Healthcare (MedBridge) is an on-going cluster

randomized controlled trial involving Uppsala University Hospital and the hospitals of Västerås, Gävle and Enköping (64). The study is designed to further evaluate the effects of involving clinical pharmacists in hospital health-care teams. The main aim is to study the effects of hospital-initiated comprehensive medication reviews, including active follow up, on elderly patients’ rehospitalizations (64).

2 Aim

The aim of this study was to analyze, compare and describe medication use, in total and for different patient groups, to illustrate the use in the MedBridge study population.

2.1 Objectives

• To describe the medication use for the whole population regarding the number of prescribed medications.

• To describe the use of inappropriate medicines for the whole population regarding the number of prescribed medications.

• To describe the medication use in different patient groups, divided into age- and gender groups.

• To describe the use of inappropriate medicines in different patient groups, divided into age- and gender groups.

(11)

• To test for statistically significant differences in medication use between groups.

• To test for statistically significant differences in the use of inappropriate medication between groups.

3 Materials and Methods

3.1 Setting and study population

This descriptive study included all 2639 patient included in the MedBridge study.

3.1.1 inclusion criteria

Patients aged 65 years or older who have signed an informed consent to participate and have been admitted to one of the study wards in the MedBridge study.

3.1.2 Inappropriate medicines

The inappropriate medicines, dosage regimes and medicine combination were chosen from Indicators of good drug use in elderly, national indicators from The Swedish National Board of Health and Welfare (21).

Inappropriate medicines/dosage regimes/

combinations

ATC-code Comment

Tramadol N02AX02

Long-acting benzodiazepines N05BA01

N05CD02 N05CD03

Antidiabetics A10BB01

A10BG03 Drugs with anticholinergic effect N06AA

R06AD01 R06AD02 R06AA04 N05AA02

Excluding low-dose Amitriptyline for pain treatment

(12)

N05BB01 N05CM06 G04BD07 G04BD08 G04BD11 G04BD12

Codeine N02AJ06

R05DA04 Acetylsalicylic acid >75 mg/day B01AC06

Oxazepam >30 mg/day N05BA04

Zopiclone >7.5 mg/day N05CF01

3 or more psychotropics N05A

N05B N05C N06A

Double RAAS blockade C09AA

C09CA

Patients who haves 2 medicines of the same ATC-code are not included

Cardio selective calcium antagonist + β- blockade

C08DA C08DB C07AB Citalopram + donepezil (interaction) N06AB04

N06DA02 Warfarin or acetylsalicylic acid + NSAID

without PPI

B01AA03 B01AC06 M01A

Excluding. M01AX05, Glucosamine, does not have impact on the bleeding risk

(13)

3.2 Data collection

Medication data from approximately 700 patients from Uppsala University Hospital and the hospital of Enköping was extracted from the electronic medical record system Cosmic (Cambio Healthcare Systems AB) and stored in the electronic data capturing system Castor EDC. The data that was collected from Cosmic and transferred to Castor EDC was the patients’ medications lists. This data, from the other 1939 study

participants, had already been put into Castorby the study investigators. When data from all the 2639 patients was stored in Castor EDC the file was exported to Microsoft Excel. The exported data from all 2639 patient was checked to see if the information was complete. The information that was missing was extracted from Cosmic and put into Castor EDC. In the case of double lists, the incorrect list was removed. The information from Castor EDC was again extracted to a Microsoft Excel file, for analyses.

3.3 Outcome measure and statistics

The medication use and the use of inappropriate medicines were presented in the form of quantity, percentage, men and standard deviation. The outcome measures for this study was the prevalence and mean of numbers of medicine in different age groups and the prevalence of inappropriate medicines in the same groups. Microsoft Excel was used to calculate descriptive statistics.

Statistical tests were used to determine if there were any differences between the groups. Two-way t-tests with a 5% significance level were performed. Bonferroni Correction was used to correct the significance level. The two-way t-tests and Bonferroni Correction were preformed using Microsoft excel.

3.4 Ethical approval

No additional ethical approval was needed for this study since it´s a part of the

MedBridge study which has received ethical approval from the Central Ethical Review Board in Sweden.

(14)

4 Results

The total number of patients included in the study was 2634. Five patients had to be excluded because it was not possible to determine which medicines they had at the time of enrollment in the MedBridge study. Fifty-three percent of the participants were women. The largest group of participants were 85 years of age or older (40.9%). Among men, the largest group of participants were aged between 75-84 years. Among women the largest group of participants were 85 years of age or older. In Table 1 the

distribution between women and men and age groups is described. The mean value of prescribed medicines for the whole population was 9.2 medicines (ranging from 0 to 32). Women had more prescribed medicines, 9.5, than men, 8.9. The age group that had the highest number of prescribed medicines were those 85 years or older and the group with the lowest number of prescribed medicines were those between 65-74 years. The group which had most prescribed medicines were women aged 85 years or older, they had a mean of almost 10 prescribed medicines per person. The group that had the least prescribed medicines were women aged 65-74 years. The following differences were statistically significant (p<0.05); number of prescribed medicines for women compared with men. Mean value for women aged 85 and 75-85 years compared with women aged 65-74 years, mean value for patients aged 85 compared with patients aged 65-74 years.

Table 1. Demographic characteristics of patients. Men, women and age groups are presented as a part of total participants. Age groups for the gender are presented as a part of total women/men.

Variable Patients

(n)

Part of (%)

Mean number of medicines (standard deviation)

Total 2634 100 9.2

Men 1282 48.7 8.95

Women 1352 51.3 9.5

65-74 years 540 20.4 8.2

75-84 years 1014 38.5 9.0

≥85 years 1080 40.9 9.7

Men 65-74 years 270 20.9 8.8

Men 75-84 years 552 42.9 8.8

Men ≥85 years 460 35.7 9.2

Women 65-74 years 271 20.2 7.6

(15)

Women 75-84 years 464 34.5 9.2

Women ≥85 years 617 45.9 9.98

4.1 Overall medication use

As shown in Figure 1. 2132 (80.8%) patients used 5 or more prescribed medicines, 1129 (42.8%) patients used 10 or more prescribed medicines and 115 (4.4%) patients used 20 or more medicines. The highest overall prevalence was among women aged 85 years or older, of whom 541 used at least 5 prescribed medicines and 307 took 10 or more medicines. The lowest prevalence was among women in the age group 65-74 years, of whom 197 patients used 5 or more prescribed medicines and 95 patients used 10 or more prescribed medicines. Men between 75-84 years had the highest number of prescribed medicines, were 29 patients used 20 or more prescribed medicines. The patient with the highest number of prescribed medicines in this group were 31 medicines.

Figure 1. Use of medications, by gender and age.

Table 2 presents how many medicines that were prescribed for the whole population and if the medicine was prescribed as medication taken regularly or only as a when needed regimen. There were 20881 medicines prescribed and 81.2 % of them were prescribed as regular medications.

(16)

Table 2. Description of medicine status.

Quantity (n)

Part of total (%)

Prescribed medicines 20.881 100 Regular medicines 16.954 81.2 when needed medicines 3928 18.8

4.2 The use of inappropriate medicines

In this population 461 patients, which represents 17.4% of the whole population, used at least one inappropriate medicine or combination. There were only 23 patients (5%) that used 3 or more inappropriate medicines. Of all men 15.7% used at least one

inappropriate and 18.8% of all women. In Table 3 and 4 all the inappropriate

substances, substance groups, dose regimes and medicine combinations are presented.

The most prescribed inappropriate substance/substance group were agents for incontinence, 2.9% of the whole population, followed by propiomazine, 2.4% of the whole population. The most prescribed medicines combination was 3 or more psychotropics. The least prescribed inappropriate medicine was codeine without paracetamol and the least prescribed inappropriate combination were cardio selective calcium antagonists in combination with a β-blocking agent.

Table 3. Description of the use of inappropriate medicines substance or substance group. Presenting number of patients using the medicine and the part of the whole population.

Substance/Group ATC-code Patients

(n)

Part of population

(%)

Tramadol 1.1

Diazepam 1.6

Nitrazepam 0.2

Flunitrazepam 0.5

Alimemazine 0.2

Non-selective monoamine reuptake inhibitors

0.6

Levomepromazine 0.1

(17)

Propiomazine 2.4 Agents for incontinence and for

controlling for the frequency of micturition

2.9

Hydroxyzine 1.6

Propiomazine 0.5

Clementine 0.7

Codeine and paracetamol N02AJ06 49 1.9

Codeine R05DA04 1 0.04

Glibenclamide A10BB01 8 0.3

Pioglitazone A10BG03 3 0.1

Table 4. Description of the use of inappropriate dose regimes and medicine combinations. Presenting number of patients using the medicine and the part of the whole population.

Dose regimes/

combinations

ATC-code Patients

(n)

Part of whole population (%)

Acetylsalicylic acid >75 mg/day

0.3

Oxazepam >30 mg/day 0.2

Zopiclone >7.5 mg/day 0.3

3 or more psychotropics 3.4

Dual RAAS blockade 0.4

Unselective calcium antagonist + β-blockade

0.04

Citalopram + donepezil 0.2

Warfarin or

acetylsalicylic acid + NSAID without PPI

0.05

As shown in Figure 2 women were those who used the most inappropriate medicines.

Women 85 years or older used the most inappropriate medicines. The group that used the least of inappropriate medicines were men aged 65 to 74. The Figure also shows that patients between 75 to 84 years used the most inappropriate medicines. Women aged 85

(18)

years or older used a significantly (p<0.05) higher amount of inappropriate medicines than women aged 65-74 did.

Figure 2. Use of inappropriate medicines, by gender and age.

5 Discussion

This study showed that the use of polypharmacy among elderly is very common, which is consistent whit previous research (9.65). In this study women were prescribed the highest number of medicines and the highest number of inappropriate medicines, especially the oldest women. These results agree with results of other studies that have been done within the field (66,67).

In our study there were 33% of men aged 75 or older who used at least 10 prescribed medicines and 47% among women in the same age group. Compared with the Swedish National Board of Health and Welfares’ open comparison between country councils in Sweden, patients in our study used more medicines than both the population in Uppsala and the whole population in Sweden (68). Their data showed that in Uppsala 12% of all men aged 75 years or older used at least 10 prescribed medicines and 13% of all

women. Their comparison also showed that in the whole country 9.5% of men and 10.5% or women aged 75 years or older used 10 or more prescribed medicines (68).

One reason for this is that our population is highly selected; including just hospitalized patients and not patients plus population of healthy elderly. Therefore, our results are, as

(19)

expected higher than in the comparison from The Swedish National Board of Health and Welfare.

The Swedish National Board of Health and Welfare also compared the use of

inappropriate medicines. In our study 11% of all men aged 75 years or older and 14.3%

of women used at least one inappropriate medicines compared with theirs results of 7.5% of men and 10.5% of women in Uppsala and 8% of men and 12% or women in Sweden (68). In this study when counting inappropriate medicines, no account has been taken for whether they have had several medicines of the same ATC-code or not. For instance, one depot tablet and one fast acting tablet or different strengths of the same medicine. Therefore, our result may be a bit higher than The Swedish National Board of Health and Welfares.

The limitations with this study were that we didn’t get to talk to the patients, so we couldn’t assure that the medicine lists were correct, and that the patient used everything or even more medicines. For the same reason we did not have information on the use of over the counter medicines. A strength of the study was that the study population was large and that the distribution between the groups was equal. It gives credibility to the significant values in this study.

The results in this study correspond with results from previous research. Despite that it’s important that we continue to do research on the use of medicines and inappropriate medicines in order to monitor the development of drug use. Further on more research should be done on how we can avoid adverse outcomes when using many medicines and how pharmacist can be useful in this question.

6 Conclusion

In conclusion, this report shows that many of our elderly have polypharmacy and that women are using more medicines than men and more inappropriate medicines than men. It also indicates that the older you get, the more medicines you use.

(20)

7 Refences

1. Stuck AE, Beers MH, Steiner A, Aronow HU, Rubenstein LZ, Beck JC. Inappropriate medication use in community-residing older persons. Arch Intern Med. 10 oktober 1994;154(19):2195–200.

2. Marković-Peković V, Škrbić R, Petrović A, Vlahović-Palčevski V, Mrak J, Bennie M, m.fl.

Polypharmacy among the elderly in the Republic of Srpska: extent and implications for the future. Expert Rev Pharmacoecon Outcomes Res. oktober 2016;16(5):609–18.

3. Spinewine A, Schmader KE, Barber N, Hughes C, Lapane KL, Swine C, m.fl. Appropriate prescribing in elderly people: how well can it be measured and optimised? Lancet Lond Engl.

14 juli 2007;370(9582):173–84.

4. Pasina L, Brucato AL, Falcone C, Cucchi E, Bresciani A, Sottocorno M, m.fl. Medication non- adherence among elderly patients newly discharged and receiving polypharmacy. Drugs Aging. april 2014;31(4):283–9.

5. Age-related changes in pharmacokinetics and pharmacodynamics: basic principles and practical applications. - PubMed - NCBI [Internet]. [citerad 04 april 2019]. Tillgänglig vid:

https://www-ncbi-nlm-nih-gov.ezproxy.its.uu.se/pubmed/?term=Age-

related+changes+in+pharmacokinetics+and+pharmacodynamics%3A+basic+principles+and+p ractical+applications

6. Maher RL, Hanlon J, Hajjar ER. Clinical consequences of polypharmacy in elderly. Expert Opin Drug Saf. januari 2014;13(1):57–65.

7. Lassila HC, Stoehr GP, Ganguli M, Seaberg EC, Gilby JE, Belle SH, m.fl. Use of prescription medications in an elderly rural population: the MoVIES Project. Ann Pharmacother. juni 1996;30(6):589–95.

8. Kaufman DW, Kelly JP, Rosenberg L, Anderson TE, Mitchell AA. Recent patterns of medication use in the ambulatory adult population of the United States: the Slone survey.

JAMA. 16 januari 2002;287(3):337–44.

9. Barat I, Andreasen F, Damsgaard EM. The consumption of drugs by 75-year-old individuals living in their own homes. Eur J Clin Pharmacol. september 2000;56(6–7):501–9.

10. Wastesson JW, Cedazo Minguez A, Fastbom J, Maioli S, Johnell K. The composition of polypharmacy: A register-based study of Swedes aged 75 years and older. PLoS ONE [Internet]. 29 mars 2018 [citerad 04 april 2019];13(3). Tillgänglig vid:

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5875802/

11. Guthrie B, Makubate B, Hernandez-Santiago V, Dreischulte T. The rising tide of

polypharmacy and drug-drug interactions: population database analysis 1995-2010. BMC Med. 07 april 2015;13:74.

12. Akbarov A, Kontopantelis E, Sperrin M, Stocks SJ, Williams R, Rodgers S, m.fl. Primary Care Medication Safety Surveillance with Integrated Primary and Secondary Care Electronic Health Records: A Cross-Sectional Study. Drug Saf. juli 2015;38(7):671–82.

(21)

13. Bourgeois FT, Shannon MW, Valim C, Mandl KD. Adverse drug events in the outpatient setting: an 11-year national analysis. Pharmacoepidemiol Drug Saf. september

2010;19(9):901–10.

14. Hohl CM, Dankoff J, Colacone A, Afilalo M. Polypharmacy, adverse drug-related events, and potential adverse drug interactions in elderly patients presenting to an emergency department.

Ann Emerg Med. december 2001;38(6):666–71.

15. Santos TRA, Silveira EA, Pereira LV, Provin MP, Lima DM, Amaral RG. Potential drug-drug interactions in older adults: A population-based study. Geriatr Gerontol Int. december

2017;17(12):2336–46.

16. Potentially inappropriate medication use in elderly Japanese patients. - PubMed - NCBI [Internet]. [citerad 03 maj 2019]. Tillgänglig vid: https://www-ncbi-nlm-nih-

gov.ezproxy.its.uu.se/pubmed/20439064/

17. Lindblad CI, Artz MB, Pieper CF, Sloane RJ, Hajjar ER, Ruby CM, m.fl. Potential drug- disease interactions in frail, hospitalized elderly veterans. Ann Pharmacother. mars 2005;39(3):412–7.

18. Lindblad CI, Hanlon JT, Gross CR, Sloane RJ, Pieper CF, Hajjar ER, m.fl. Clinically important drug-disease interactions and their prevalence in older adults. Clin Ther. augusti 2006;28(8):1133–43.

19. Lopes LM, Figueiredo TP de, Costa SC, Reis AMM. Use of potentially inappropriate medications by the elderly at home. Cienc Saude Coletiva. november 2016;21(11):3429–38.

20. Hovstadius B, Petersson G, Hellström L, Ericson L. Trends in Inappropriate Drug Therapy Prescription in the Elderly in Sweden from 2006 to 2013: Assessment Using National Indicators. Drugs Aging. 2014;31(5):379–86.

21. Indikatorer för god läkemedelsterapi hos äldre. :106.

22. Nishtala PS, Salahudeen MS, Hilmer SN. Anticholinergics: theoretical and clinical overview.

Expert Opin Drug Saf. juni 2016;15(6):753–68.

23. Leon C, Gerretsen P, Uchida H, Suzuki T, Rajji T, Mamo DC. Sensitivity to antipsychotic drugs in older adults. Curr Psychiatry Rep. februari 2010;12(1):28–33.

24. Ray PG, Meador KJ, Loring DW, Zamrini EW, Yang XH, Buccafusco JJ. Central

anticholinergic hypersensitivity in aging. J Geriatr Psychiatry Neurol. juni 1992;5(2):72–7.

25. Abrams P, Andersson K-E, Buccafusco JJ, Chapple C, de Groat WC, Fryer AD, m.fl.

Muscarinic receptors: their distribution and function in body systems, and the implications for treating overactive bladder. Br J Pharmacol. juli 2006;148(5):565–78.

26. Cardwell K, Hughes CM, Ryan C. The Association Between Anticholinergic Medication Burden and Health Related Outcomes in the ”Oldest Old”: A Systematic Review of the Literature. Drugs Aging. oktober 2015;32(10):835–48.

27. Mintzer J, Burns A. Anticholinergic side-effects of drugs in elderly people. J R Soc Med.

september 2000;93(9):457–62.

(22)

28. Cancelli I, Gigli GL, Piani A, Zanchettin B, Janes F, Rinaldi A, m.fl. Drugs with anticholinergic properties as a risk factor for cognitive impairment in elderly people: a population-based study. J Clin Psychopharmacol. december 2008;28(6):654–9.

29. Greenblatt DJ, Allen MD, Harmatz JS, Shader RI. Diazepam disposition determinants. Clin Pharmacol Ther. mars 1980;27(3):301–12.

30. Masudo C, Ogawa Y, Yamashita N, Mihara K. [Association between Elimination Half-life of Benzodiazepines and Falls in the Elderly: A Meta-analysis of Observational Studies].

Yakugaku Zasshi. 2019;139(1):113–22.

31. Greenblatt DJ, Divoll M, Harmatz JS, Shader RI. Oxazepam kinetics: effects of age and sex. J Pharmacol Exp Ther. oktober 1980;215(1):86–91.

32. van Strien AM, Koek HL, van Marum RJ, Emmelot-Vonk MH. Psychotropic medications, including short acting benzodiazepines, strongly increase the frequency of falls in elderly.

Maturitas. april 2013;74(4):357–62.

33. ”Weak” opioid analgesics. Codeine, dihydrocodeine and tramadol: no less risky than morphine. Prescrire Int. februari 2016;25(168):45–50.

34. AGS Panel on Persistent Pain in Older Persons. The management of persistent pain in older persons. J Am Geriatr Soc. juni 2002;50(6 Suppl):S205-224.

35. Yue QY, Hasselström J, Svensson JO, Säwe J. Pharmacokinetics of codeine and its metabolites in Caucasian healthy volunteers: comparisons between extensive and poor hydroxylators of debrisoquine. Br J Clin Pharmacol. juni 1991;31(6):635–42.

36. Holstein A, Plaschke A, Egberts EH. Lower incidence of severe hypoglycaemia in patients with type 2 diabetes treated with glimepiride versus glibenclamide. Diabetes Metab Res Rev.

december 2001;17(6):467–73.

37. Bolen S, Feldman L, Vassy J, Wilson L, Yeh H-C, Marinopoulos S, m.fl. Systematic review:

comparative effectiveness and safety of oral medications for type 2 diabetes mellitus. Ann Intern Med. 18 september 2007;147(6):386–99.

38. National Kidney Foundation. KDOQI Clinical Practice Guideline for Diabetes and CKD: 2012 Update. Am J Kidney Dis Off J Natl Kidney Found. november 2012;60(5):850–86.

39. Lincoff AM, Wolski K, Nicholls SJ, Nissen SE. Pioglitazone and risk of cardiovascular events in patients with type 2 diabetes mellitus: a meta-analysis of randomized trials. JAMA. 12 september 2007;298(10):1180–8.

40. Tuttle KR, Bakris GL, Bilous RW, Chiang JL, de Boer IH, Goldstein-Fuchs J, m.fl. Diabetic kidney disease: a report from an ADA Consensus Conference. Am J Kidney Dis Off J Natl Kidney Found. oktober 2014;64(4):510–33.

41. Taylor DW, Barnett HJ, Haynes RB, Ferguson GG, Sackett DL, Thorpe KE, m.fl. Low-dose and high-dose acetylsalicylic acid for patients undergoing carotid endarterectomy: a

randomised controlled trial. ASA and Carotid Endarterectomy (ACE) Trial Collaborators.

Lancet Lond Engl. 26 juni 1999;353(9171):2179–84.

(23)

42. Matheson E, Hainer BL. Insomnia: Pharmacologic Therapy. Am Fam Physician. 01 juli 2017;96(1):29–35.

43. Benzodiazepines: dementia in the elderly? Prescrire Int. januari 2017;26(178):16–7.

44. Givens CJ. Adverse Drug Reactions Associated with Antipsychotics, Antidepressants, Mood Stabilizers, and Stimulants. Nurs Clin North Am. 2016;51(2):309–21.

45. Tranulis C, Skalli L, Lalonde P, Nicole L, Stip E. Benefits and risks of antipsychotic polypharmacy: an evidence-based review of the literature. Drug Saf. 2008;31(1):7–20.

46. Moore TA, Covell NH, Essock SM, Miller AL. Real-world antipsychotic treatment practices.

Psychiatr Clin North Am. september 2007;30(3):401–16.

47. Kragh A. [Two out of three persons living in nursing homes for the elderly are treated with at least ten different drugs. A survey of drug prescriptions in the northeastern part of Skane].

Lakartidningen. 11 mars 2004;101(11):994–6, 999.

48. Ewen S, Bohm M. Too much is too much: evidence against dual RAAS inhibition in hypertensives with heart failure symptoms. Eur Heart J. 01 april 2015;36(15):899–901.

49. Buckley N, Dawson A, Whyte I. Calcium channel blockers. Medicine (Baltimore). 01 november 2007;35(11):599–602.

50. Cubeddu LX. Drug-induced Inhibition and Trafficking Disruption of ion Channels:

Pathogenesis of QT Abnormalities and Drug-induced Fatal Arrhythmias. Curr Cardiol Rev.

2016;12(2):141–54.

51. Solomon DH, Glynn RJ, Bohn R, Levin R, Avorn J. The hidden cost of nonselective

nonsteroidal antiinflammatory drugs in older patients. J Rheumatol. april 2003;30(4):792–8.

52. Marcum ZA, Amuan ME, Hanlon JT, Aspinall SL, Handler SM, Ruby CM, m.fl. Prevalence of unplanned hospitalizations caused by adverse drug reactions in older veterans. J Am Geriatr Soc. januari 2012;60(1):34–41.

53. Worden JC, Hanna KS. Optimizing proton pump inhibitor therapy for treatment of nonvariceal upper gastrointestinal bleeding. Am J Health-Syst Pharm AJHP Off J Am Soc Health-Syst Pharm. 01 2017;74(3):109–16.

54. Rodriguez EA, Donath E, Waljee AK, Sussman DA. Value of Oral Proton Pump Inhibitors in Acute, Nonvariceal Upper Gastrointestinal Bleeding: A Network Meta-Analysis. J Clin Gastroenterol. september 2017;51(8):707–19.

55. Bang CS, Joo MK, Kim B-W, Kim JS, Park CH, Ahn JY, m.fl. The role of acid suppressants in the prevention of anticoagulant-related gastrointestinal bleeding: a systematic review and meta-analysis. Gut Liver. 11 april 2019;

56. Soubra L, Issa M. Prescribing of proton pump inhibitors for gastrointestinal bleeding

prophylaxis in the Lebanese outpatient setting: patterns, compliance with guidelines and risks.

Int J Pharm Pract. 03 april 2019;

57. Broekhuizen K, Pothof A, de Craen AJM, Mooijaart SP. Characteristics of randomized controlled trials designed for elderly: a systematic review. PloS One. 2015;10(5):e0126709.

(24)

58. Duerden M, Avery T, Payne R, King’s Fund (London E. Polypharmacy and medicines optimisation: making it safe and sound. 2013.

59. Lenander C, Bondesson Å, Viberg N, Beckman A, Midlöv P. Effects of medication reviews on use of potentially inappropriate medications in elderly patients; a cross-sectional study in Swedish primary care. BMC Health Serv Res. 07 2018;18(1):616.

60. Krzyzaniak N, Bajorek B. A global perspective of the roles of the pharmacist in the NICU. Int J Pharm Pract. april 2017;25(2):107–20.

61. Tam G, Yang H, Meyers T. Outcomes of a pharmacist-led medication review programme for hospitalised elderly patients. Hong Kong Med J Xianggang Yi Xue Za Zhi. 2018;24(2):400–7.

62. Hasan SS, Thiruchelvam K, Kow CS, Ghori MU, Babar Z-U-D. Economic evaluation of pharmacist-led medication reviews in residential aged care facilities. Expert Rev

Pharmacoecon Outcomes Res. oktober 2017;17(5):431–9.

63. McLachlan CYL, Yi M, Ling A, Jardine DL. Adverse drug events are a major cause of acute medical admission. Intern Med J. juli 2014;44(7):633–8.

64. Kempen TGH, Bertilsson M, Lindner K-J, Sulku J, Nielsen EI, Högberg A, m.fl. Medication Reviews Bridging Healthcare (MedBridge): Study protocol for a pragmatic cluster-randomised crossover trial. Contemp Clin Trials. 2017;61:126–32.

65. Yıldırım AB, Kılınç AY. [Polypharmacy and drug interactions in elderly patients]. Turk Kardiyol Dernegi Arsivi Turk Kardiyol Derneginin Yayin Organidir. september

2017;45(Suppl 5):17–21.

66. Hosseini SR, Zabihi A, Jafarian Amiri SR, Bijani A. Polypharmacy among the Elderly. J -Life Health. juni 2018;9(2):97–103.

67. Martin-Pérez M, López de Andrés A, Hernández-Barrera V, Jiménez-García R, Jiménez- Trujillo I, Palacios-Ceña D, m.fl. [Prevalence of polypharmacy among the population older than 65 years in Spain: Analysis of the 2006 and 2011/12 National Health Surveys]. Rev Espanola Geriatr Gerontol. februari 2017;52(1):2–8.

68. Sverige, Socialstyrelsen, Sveriges kommuner och landsting. Öppna jämförelser 2013.

jämförelser mellan landsting. Stockholm: Socialstyrelsen : Sveriges kommuner och landsting (SKL); 2011.

References

Related documents

Even though only patients with diabetes as chronic disease also exhibited a significantly higher score about the concern of their medicines, it is common among chronic

Det finns ett trettiotal manscentrum/kriscentrum för män i olika delar av landet, som antingen kan vara fristående eller bedrivas i kommunal regi. Män som söker hjälp

Spinodal decomposition of Ti 0.33 Al 0.67 N thin films studied by atom probe tomography.. Data Analysis, A

Inappropriate Medications in a Hospital in Northern Sweden A cross-sectional study using the EU (7)- PIM list and the Swedish indicators for evaluating the quality of older

46 Konkreta exempel skulle kunna vara främjandeinsatser för affärsänglar/affärsängelnätverk, skapa arenor där aktörer från utbuds- och efterfrågesidan kan mötas eller

Both Brazil and Sweden have made bilateral cooperation in areas of technology and innovation a top priority. It has been formalized in a series of agreements and made explicit

För att uppskatta den totala effekten av reformerna måste dock hänsyn tas till såväl samt- liga priseffekter som sammansättningseffekter, till följd av ökad försäljningsandel

Från den teoretiska modellen vet vi att när det finns två budgivare på marknaden, och marknadsandelen för månadens vara ökar, så leder detta till lägre