Natália Fracaro Lombardi1, Antonio Eduardo Matoso Mendes2, Rosa Camila Lucchetta1, Wálleri Christini Torelli Reis1, Maria Luiza Drechsel Fávero3, Cassyano Januário Correr4. 1. Master's Student, Departamento de Farmácia, Universidade Federal do Paraná, Curitiba, PR, Brazil. 2. Master's Student, Departamento de Clínica Médica, Universidade Federal do Paraná, Curitiba, PR, Brazil. 3. Doctoral Student, Departamento de Farmácia, Universidade Federal do Paraná, Curitiba, PR, Brazil. Professor, Departamento de Farmácia, Universidade Federal do Paraná, Curitiba, PR, Brazil. 4. PhD, Adjunct Professor, Departamento de Farmácia, Universidade Federal do Paraná, Curitiba, PR, Brazil.
Abstract
OBJECTIVES: this observational study aimed to describe the discrepancies identified during medication reconciliation on patient admission to cardiology units in a large hospital. METHODS: the medication history of patients was collected within 48 hours after admission, and intentional and unintentional discrepancies were classified as omission, duplication, dose, frequency, timing, and route of drug administration. RESULTS: most of the patients evaluated were women (58.0%) with a mean age of 59 years, and 75.5% of the patients had a Charlson comorbidity index score between 1 and 3. Of the 117 discrepancies found, 50.4% were unintentional. Of these, 61.0% involved omission, 18.6% involved dosage, 18.6% involved timing, and 1.7% involved the route of drug administration. CONCLUSION: this study revealed a high prevalence of discrepancies, most of which were related to omissions, and 50% were unintentional. These results reveal the number of drugs that are not reincorporated into the treatment of patients, which can have important clinical consequences. OBJETIVOS: este estudo observacional teve como objetivo descrever discrepâncias encontradas na realização de conciliação medicamentosa de pacientes admitidos em unidades de cardiologia de um hospital de grande porte. MÉTODOS: a história de medicação dos pacientes foi coletada dentro de 48h após a admissão, e as discrepâncias, identificadas como intencionais ou não intencionais, foram classificadas como de: omissão, duplicidade, dose, frequência, intervalo e via. RESULTADOS: a maioria dos pacientes incluídos pertençia ao sexo feminino (58,0%), com idade média de 59 anos, e com índice de comorbidades de Charlson entre 1 e 3 (75,5% dos casos). Das 117 discrepâncias encontradas, 50,4% foram não intencionais. Dessas, 61,0% foram de omissão, 18,6% de dose, 18,6% de intervalo e 1,7% de via de administração. CONCLUSÃO: o estudo mostra a alta prevalência de discrepâncias, principalmente de omissão, sendo quase metade não intencionais. Esse dado remete ao número de medicamentos que não são reincorporados ao tratamento dos pacientes, podendo repercutir em consequências clínicas importantes. OBJETIVOS: este estudio observacional tuvo como objetivo describir discrepancias encontradas en la realización de la conciliación medicamentosa de pacientes admitidos en unidades de cardiología de un hospital de gran porte. MÉTODOS: la historia de medicación de los pacientes fue recolectada dentro de 48h después de la admisión, y las discrepancias, identificadas como intencionales o no intencionales, fueron clasificadas como: omisión, duplicidad, dosis, frecuencia, intervalo y vía. RESULTADOS: la mayoría de los pacientes incluidos pertenecía al sexo femenino (58,0%), con edad promedio de 59 años, y con índice de comorbilidad de Charlson entre 1 y 3 (75,5% de los casos). De las 117 discrepancias encontradas, 50,4% fueron no intencionales. De estas, 61,0% fueron de omisión, 18,6% de dosis, 18,6% de intervalo y 1,7% de vía de administración. CONCLUSIÓN: el estudio muestra la alta prevalencia de discrepancias, principalmente de omisión, siendo casi mitad de ellas no intencionales. Ese dato nos indica el número de medicamentos que no son reincorporados al tratamiento de los pacientes, lo que puede repercutir en consecuencias clínicas importantes.
OBJECTIVES: this observational study aimed to describe the discrepancies identified during medication reconciliation on patient admission to cardiology units in a large hospital. METHODS: the medication history of patients was collected within 48 hours after admission, and intentional and unintentional discrepancies were classified as omission, duplication, dose, frequency, timing, and route of drug administration. RESULTS: most of the patients evaluated were women (58.0%) with a mean age of 59 years, and 75.5% of the patients had a Charlson comorbidity index score between 1 and 3. Of the 117 discrepancies found, 50.4% were unintentional. Of these, 61.0% involved omission, 18.6% involved dosage, 18.6% involved timing, and 1.7% involved the route of drug administration. CONCLUSION: this study revealed a high prevalence of discrepancies, most of which were related to omissions, and 50% were unintentional. These results reveal the number of drugs that are not reincorporated into the treatment of patients, which can have important clinical consequences. OBJETIVOS: este estudo observacional teve como objetivo descrever discrepâncias encontradas na realização de conciliação medicamentosa de pacientes admitidos em unidades de cardiologia de um hospital de grande porte. MÉTODOS: a história de medicação dos pacientes foi coletada dentro de 48h após a admissão, e as discrepâncias, identificadas como intencionais ou não intencionais, foram classificadas como de: omissão, duplicidade, dose, frequência, intervalo e via. RESULTADOS: a maioria dos pacientes incluídos pertençia ao sexo feminino (58,0%), com idade média de 59 anos, e com índice de comorbidades de Charlson entre 1 e 3 (75,5% dos casos). Das 117 discrepâncias encontradas, 50,4% foram não intencionais. Dessas, 61,0% foram de omissão, 18,6% de dose, 18,6% de intervalo e 1,7% de via de administração. CONCLUSÃO: o estudo mostra a alta prevalência de discrepâncias, principalmente de omissão, sendo quase metade não intencionais. Esse dado remete ao número de medicamentos que não são reincorporados ao tratamento dos pacientes, podendo repercutir em consequências clínicas importantes. OBJETIVOS: este estudio observacional tuvo como objetivo describir discrepancias encontradas en la realización de la conciliación medicamentosa de pacientes admitidos en unidades de cardiología de un hospital de gran porte. MÉTODOS: la historia de medicación de los pacientes fue recolectada dentro de 48h después de la admisión, y las discrepancias, identificadas como intencionales o no intencionales, fueron clasificadas como: omisión, duplicidad, dosis, frecuencia, intervalo y vía. RESULTADOS: la mayoría de los pacientes incluidos pertenecía al sexo femenino (58,0%), con edad promedio de 59 años, y con índice de comorbilidad de Charlson entre 1 y 3 (75,5% de los casos). De las 117 discrepancias encontradas, 50,4% fueron no intencionales. De estas, 61,0% fueron de omisión, 18,6% de dosis, 18,6% de intervalo y 1,7% de vía de administración. CONCLUSIÓN: el estudio muestra la alta prevalencia de discrepancias, principalmente de omisión, siendo casi mitad de ellas no intencionales. Ese dato nos indica el número de medicamentos que no son reincorporados al tratamiento de los pacientes, lo que puede repercutir en consecuencias clínicas importantes.
According to the World Health Organization (WHO), patient safety involves reducing the
risk of unnecessary harm to health to the minimum level acceptable
. Medication errors are considered the primary reason for harm to the health of
hospitalized patients and can occur in any drug therapy stage, from prescription to
administration
-
. More than 50% of medication errors occur when patients are discharged or
transferred between units, indicating that the transition stages are prone to the
occurrence of errors
.A thorough and accurate medication history should be obtained at the time of drug
prescription to increase drug safety
-
. Up to 27% of all prescription errors are related to incomplete medication
histories at the time of admission, leading to discrepancies between the drugs used
before admission and those used during hospitalization. Previous studies have indicated
that 60 to 70% of medication histories contain at least one error, and 59% of all errors
have a major clinical impact
-
. The collection of an accurate medication history at the time of patient
admission is essential to guarantee patient safety. The incorrect collection of
medication history is responsible for most of the adverse drug reactions experienced
after hospital discharge and can compromise the continuity of treatment
-
.Previous studies have shown that medication reconciliation at the time of patient
admission decreases the number of discrepancies between the drugs used before admission
and those prescribed during hospitalization
,
,
-
.The objective of this study was to describe the discrepancies found in medication
reconciliation on patient admission to a clinical cardiology unit, a chest pain unit,
and a coronary care unit of a large hospital.
Methods
This cross-sectional, descriptive study was conducted in a large university hospital.
The data presented in this study are part of a randomized clinical trial that was
conducted between May 2013 and January 2014 in five clinical units of the hospital. In
the randomized clinical trial, the calculated sample size was 65 patients per group to
achieve a detection power of 80% for two predetermined outcomes: length of stay and
mortality.All of the patients admitted to the clinical cardiology unit, chest pain unit, and
coronary care unit were identified prospectively by a clinical pharmacist between May
2013 and January 2014. The patients admitted on weekends were identified on the first
working day after admission.The study included patients aged ≥18 years who were admitted to one of the selected
hospital units and who agreed with the criteria outlined in the free and informed
consent form. Patients were excluded for the following reasons: their medication
histories were not collected in the first 48 hours after admission, they were discharged
before collection of the medication history, they had already been included in a
previous study, they were admitted before the study period, and they could not provide
the information necessary for the study because of impaired cognition, being under
mechanical ventilation, or lacking a caregiver who could help in data collection.This study was approved by the Ethics Committee of the Clinical Hospital of the Federal
University of Paraná under Protocol no. 14179613.7.0000.0096.
Drug reconciliation
Medication history was collected via interviews with the patient or caregiver,
considering the best possible history developed according to previous
recommendations
-
based on combining information from the community pharmacy record, the
information provided by a structured interview with participants about their medication
use, and medication containers. In nine hospitals, pharmacy technicians obtained the
BPMH, and in three hospitals, a mixed model was used (physicians or pharmacy technicians
obtained the BPMH, and via assessment of the patient records to complement the
medication history data. The data were collected using the following potential sources
of information: patient, drug prescriptions, drugs brought from home, bedside charts,
family or caregiver, and information provided by municipal health units and health care
institutions or living facilities.After data acquisition, a list of pre-admission medications was developed and then
compared with the medications prescribed on patient admission. This comparison allowed
the identification of discrepancies between the two lists, defined as any differences
between the medication history collected and the medications prescribed to the patient
on admission
.The discrepancies were classified according to type, intentionality (intentional or
unintentional), and changes made by the physician during hospitalization (Figure 1)
,
.
Figure 1
Classification of discrepancies according to type, intentionality, and
changes made to correct the discrepancies.
During the hospitalization period, the unintentional discrepancies corrected by the
physician were classified according to the following factors: I) reintroduction of
medications used before admission or introduction of a therapeutic equivalent; II)
adjustment of the dose to the dose used before admission or any new changes in dose; or
III) adjustment of the timing to the timing used before admission or any new changes in
timing.
Results
During the eight-month study period, 229 patients were admitted to the selected units.
Of these, 24 patients were included in the conciliation service, and 202 patients were
excluded for the following reasons: discharge or transfer to another unit before the
medication history was collected (n = 9), hospitalization for more than 48 hours without
collection of medication history (n = 162), death before conciliation (n = 3),
communication impairment and lack of a caregiver to help in data collection (n = 7),
admission for elective surgery (n = 7), and refusal to participate in the study (n =
14).The study group was primarily composed of women (58.0%) with a mean age of 59 ± 6.0
years; the participants were admitted for various clinical conditions. The most frequent
comorbidities were associated with the cardiovascular and endocrine systems, including
hypertension (79.0%), coronary artery disease (54.0%), dyslipidemia (50.0%), and
diabetes mellitus (33.0%). The Charlson comorbidity index (CCI) was used to assess the
risk of death of the patients for the following ten years (Table 1).
Table 1
Characteristics of the study population. Curitiba, state of Paraná, Brazil,
2014
Patient characteristics
Study population
n = 24
%
Age in years, mean ± SD*
59 ± 6
Gender
Women
14
58.3
Independence in the management of
pharmacotherapy
Patient
23
95.8
Caregiver
1
4.2
CCI†
0
3
12.5
1
9
37.5
2
4
17.0
3
5
21.0
4
2
8.0
5
0
0
6
1
4.0
Days of hospitalization, median
(IQR‡)
15 (8-19)
*SD: standard deviation; †CCI: Charlson comorbidity Index; ‡IQR:
interquartile range
*SD: standard deviation; †CCI: Charlson comorbidity Index; ‡IQR:
interquartile rangeIn most cases (42%), the patients were the only source of information. For 37% of the
patients, two sources were consulted; for 17% of the patients, three sources were
consulted; and for 4% of patients, four sources were consulted. Half of the patients
(50%) brought their medications to the hospital on admission (or the caregiver brought
them later), 29.0% brought a list of drugs, and in 4.0% of cases, the caregiver or
family member helped collect and disclose history data.The drugs involved in intentional and unintentional discrepancies were classified
according to the Anatomical Therapeutic Chemical (ATC) classification system, and the
drug groups with the highest prevalence were those used to treat complications in the
cardiovascular system (n = 43), nervous system (n = 13), gastrointestinal tract and
metabolism (n = 11), and blood and blood-forming organs (n = 10).In addition, 217 prescription drugs were identified on admission, and of these, 53.9% (n
= 117) were involved in the discrepancies. In total, 58 (49.6%) discrepancies were
intentional, and 59 (50.4%) were unintentional (Table
2).
Table 2
Types of intentional and unintentional discrepancies identified. Curitiba,
state of Paraná, Brazil, 2014
Type of discrepancy
Intentional n (%)
Unintentional n (%)
Total n (%)
Omission
48 (82.8)
36 (61.0)
84 (71.8)
Dose
10 (17.2)
11 (18.6)
21 (18.0)
Timing of administration
0
11 (18.6)
11 (9.4)
Route of administration
0
1 (1.7)
1 (0.8)
Total
58 (100.0)
59 (100.0)
117 (100.0)
Among the unintended discrepancies, in 20.3% (n = 12) of cases, the omitted drug was
reintroduced during hospitalization, or the medication was prescribed again with changes
in the dose, route, or timing of administration in relation to pre-admission. In
addition, in 37.3% (n = 22) of these discrepancies, a therapeutic equivalent was
included in the drug prescription to replace the drug involved in the discrepancy, or
changes were made to the dose, route, or timing of administration (Table 3).
Table 3
Types of unintentional discrepancies and whether drug therapy was
reintroduced with or without changes. Curitiba, state of Paraná, Brazil,
2014
Type of discrepancy
Frequency of each discrepancy
(%)
Total number of discrepancies in
each reintroduction category
Reintroduction of the medication
without changes
12
Omission
75.1
Dose
8.3
Timing
8.3
Route
8.3
Reintroduction of the medication
with changes
22
Omission
9.0
Dose
45.5
Timing
45.5
Route
0
Discussion
Discrepancies in medication history may impair the effectiveness and safety of drug
therapy. In this study, 54.0% of the medication histories presented some type of
discrepancy. The most common discrepancies were omission (medications used before
admission but not prescribed during hospitalization) and dose differences between
pre-admission and hospitalization. Similar studies corroborate this result, particularly
with respect to the higher incidence of omissions
,
-
,
,
-
.The number of intentional and unintentional discrepancies differed between studies. A
previous study found 866 discrepancies on admission, 93% of which were unintentional,
whereas in another study, 94% of unintentional discrepancies were seen, and after
interventions performed by pharmacists, 97% of the discrepancies became intentional. By
contrast, a similar percentage of intentional and unintentional discrepancies was found
in this study. This variation in the results can be explained by the different criteria
chosen in each study to classify intentional and unintentional discrepancies, which
makes the study models heterogeneous and limits data comparison. In addition, these
studies elected complementary parameters, such that the first study considered
intentional discrepancies to be the changes made based on the new clinical status of the
patient, and the second study added two other criteria: drug replacement based on
guidelines and any changes made in the route, timing, or dose
-
. In our study, the changes made based on the new clinical status of the patient
and drug replacement based on guidelines were considered intentional discrepancies,
whereas changes in route, timing, and dose of administration were found to be
unintentional discrepancies; these distinct classifications may explain the differences
in the results.In our study, among the unintentional discrepancies, omission was the most prevalent.
The omission of drugs upon admission may cause discontinuation of drug therapy and
impair the health of the patient(19). The predominance of omissions may be related to
the collection of incomplete and inaccurate medication histories.Among the unintentional discrepancies, in 20.3% of cases when the reintroduction of the
drug therapy used before admission was necessary, the drug involved in the discrepancy
was prescribed again using the same conditions used before admission, and most (75.1%)
of the discrepancies identified were omissions. In 37.3% of cases, a therapeutic
alternative to the drug involved in the discrepancy was included in the prescription;
alternatively, a dose, route, or timing of administration different from that used
before admission was used during hospitalization. In these cases, the most frequent
discrepancies were dose and timing (45.5%).These results indicate that the drugs involved in the unintentional discrepancies were
essential to the patient during hospitalization. These drugs were prescribed in the
exact form in which they were used before admission, or as therapeutic equivalents, or
with a dose different from that used before admission. Previous studies have found that
patients with discrepancies on admission are subjected to more medication errors and
medication errors upon hospital discharge, and these errors on discharge arise from
discrepancies related to incomplete medication history
,
-
.In 42% (n = 25) of cases of unintentional discrepancies, the omitted drugs were not
reintroduced or were introduced with a dosage different from that used before admission,
and this affected the ongoing treatment or even the treatment after discharge for
chronic conditions. This strategy burdens the healthcare system because of the need to
return to health care facilities for the treatment of complications caused by these
discrepancies.The first level of classification established by the ATC indicated that the drug groups
with the highest prevalence were those used for the treatment of complications in the
cardiovascular system, nervous system, gastrointestinal tract and metabolism, and blood
and blood-forming organs. These results are similar to those of other studies,
considering the predominance of older individuals in these studies, including ours
,
-
,
,
.Some limitations should be considered in our study, including patient evaluation in only
three cardiology units-clinical cardiology, chest pain, and coronary care- resulting in
a small sample size. For this reason, this study is not representative of the entire
healthcare system, and our results should be interpreted with caution. Nevertheless, it
is believed that our study is relevant because it provides a local epidemiological
profile and allows robust evaluations in the future. The structure of the healthcare
services was also a limitation because only three professionals performed the medication
reconciliations, and these professionals were not exclusively dedicated to conducting
this activity, limiting the number of patients enrolled. In this respect, six new
professionals trained to perform medical reconciliation would be required to include all
of the patients admitted to the hospital in the study. Another limitation was that
missing data in the medical records limited data collection
-
.
Conclusion
The present study revealed a high prevalence of discrepancies, most of which were
related to drug omissions. In addition, approximately 50% of the discrepancies were
classified as unintentional, and most of the discrepancies were related to medications
required by patients and/or drugs not reintroduced during admission. These discrepancies
may cause impairments to the effectiveness and safety of patient treatment, including
interruptions in the treatment of chronic conditions and a higher probability of
aggravation of untreated comorbidities.
Authors: Vincent C Tam; Sandra R Knowles; Patricia L Cornish; Nowell Fine; Romina Marchesano; Edward E Etchells Journal: CMAJ Date: 2005-08-30 Impact factor: 8.262
Authors: F Pàez Vives; R Recha Sancho; A Altadill Amposta; R M Montaña Raduà; N Anadón Chortó; M Castells Salvadó Journal: Rev Calid Asist Date: 2010 Sep-Oct
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Authors: Patricia M L A van den Bemt; Erica M van der Schrieck-de Loos; Christien van der Linden; Annemiek M L J Theeuwes; Albert G Pol Journal: J Am Geriatr Soc Date: 2013-07-19 Impact factor: 5.562
Authors: William Runciman; Peter Hibbert; Richard Thomson; Tjerk Van Der Schaaf; Heather Sherman; Pierre Lewalle Journal: Int J Qual Health Care Date: 2009-02 Impact factor: 2.038