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Keywords:

  • patient safety;
  • adverse drug reactions;
  • medical errors;
  • hospital care

Abstract

  1. Top of page
  2. Abstract
  3. METHODS
  4. RESULTS
  5. DISCUSSION
  6. Acknowledgments
  7. References
  8. Supporting Information

Objective: To describe the incidence of adverse drug events (ADEs), preventable ADEs, and ameliorable ADEs occurring after hospital discharge and their associated risk factors.

Design: Prospective cohort study.

Setting: Urban academic health sciences center.

Patients: Consecutive patients discharged home from the general medical service.

Interventions: We determined posthospital outcomes approximately 24 days following discharge by performing a chart review and telephone interview. Using the telephone interview, we identified new or worsening symptoms, the patient's health system use, and recollection of processes of care. Posthospital outcomes were judged by 2 internists independently.

Results: Four hundred of 581 potentially eligible patients were evaluated. Of the 400 patients, 45 developed an ADE (incidence, 11%; 95% confidence interval [CI], 8% to 14%). Of these, 27% were preventable and 33% were ameliorable. Injuries were significant in 32 patients, serious in 6, and life threatening in 7. Patients were less likely to experience an ADE if they recalled having side effects of prescribed medications explained (OR, 0.4; 95% CI, 0.2 to 0.8). The risk of ADE per prescription was highest for corticosteroids, anticoagulants, antibiotics, analgesics, and cardiovascular medications. Risk increased with prescription number. Failure to monitor was an especially common cause of preventable and ameliorable ADEs.

Conclusion: Following discharge, ADEs were common and many were preventable or ameliorable. Medication side effects should be discussed, and interventions should include better monitoring and target patients receiving specific drug classes or multiple medications.

Patient safety is an area of significant public concern. Data from the Harvard Medical Practice Study1 and other research2,3 have demonstrated that a significant proportion of patients experience adverse outcomes which are attributable to their health care. When these adverse events are caused by medications, they are termed adverse drug events (ADEs).4 They are the most common type of adverse event for inpatients and ambulatory patients.5,6

Most research evaluating ADEs has focused on hospitalized patients4,7–15 and there are a few publications evaluating care in the ambulatory setting.5,6 In contrast, very little work has been published evaluating the risk of ADEs during the transition home from hospital. The first few weeks following discharge may be a particularly high-risk interval for ADEs because patients have often experienced a recent change in health state16 and they have frequently had several prescription changes.17–19 There may also be incomplete communication with community care providers reflecting these changes.20

We recently published the results of a cohort study evaluating all types of adverse events affecting patients following discharge.21 We determined that 19% of patients experience an adverse event within 5 weeks of discharge. One third of these were preventable, that is, they were caused by an error in management. Another third were ameliorable, that is, their severity could have been significantly reduced if health care delivery had been optimal.

As in other research, ADEs were the most common type of adverse event and accounted for almost two thirds of them.21 The purpose of this current study was to evaluate these ADEs and their associated risk factors in patients recently discharged from hospital so that we could develop strategies to prevent them.

METHODS

  1. Top of page
  2. Abstract
  3. METHODS
  4. RESULTS
  5. DISCUSSION
  6. Acknowledgments
  7. References
  8. Supporting Information

We are reporting on a secondary analysis of a previously published study.21 The objectives of the previous study were to determine the incidence, type, and severity of adverse events occurring following discharge from hospital. This current study focuses specifically on those adverse events caused by medication use, which occurred following discharge. The Institutional Review Board of the study hospital approved the protocol.

Patients

Consecutive patients discharged from the medical service of a large urban academic hospital in Boston, MA over a 3-month period were eligible. We excluded patients if they were not discharged to home, if they did not speak English, or if they did not have a telephone.

Consent was obtained in a two-stage process. First, we mailed every patient a letter describing the study on the day of his or her hospital discharge. The letter contained a preaddressed, prepaid postcard, which the patient was to return if they did not consent to the study. Approximately 2 weeks following discharge, we telephoned all eligible patients who had not returned cards to us. At the time of the phone call, we described the study again and asked the patient whether they were willing to participate in the study.

Case Summary Preparation

We created a case summary for every patient in the study by integrating complementary information from a chart review and a telephone survey. First, we reviewed each patient's electronic medical record to determine the in-hospital diagnoses and treatments. This computerized clinical record contains the prescriptions for each hospital discharge, “hand-over” notes from the hospitalization, discharge summaries, previous orders and written instructions, emergency room and clinic notes, operative and procedure notes, and all laboratory results including radiography, electrocardiograms, and pathology. Hand-over notes were free-text narratives entered into the clinical record by house staff which describe the patient's problem list. “Prescriptions for each hospital discharge” refer to prescriptions written when the patient was leaving the hospital, whereas “previous orders” were all orders for the patient during the hospitalization. We used the former to determine which medications the patients were prescribed at the time of discharge and the latter to determine the treatments and tests ordered for the patient while they were in hospital. “Written instructions” were computer-generated instructions provided to the patient at the time of discharge.

We reviewed all the information from the index hospitalization. We also reviewed the clinic notes and other encounter information for visits occurring after the index hospitalization. Last, we reviewed discharge summaries for hospitalizations at the study hospital occurring before the index encounter, if there were any.

Then starting at 2 weeks, we administered a telephone survey to determine posthospital course for all consenting patients. We asked about any new or worsening symptoms since discharge and whether there were any physician visits, emergency department visits, or hospital readmissions. If there were any such outcomes, we asked patients to elaborate on timing, severity, etiology (if known), and resolution. We asked 4 medication-related questions to determine the patient's preparations for discharge. These questions included: 1) “Did someone discuss the medications you were prescribed before discharge?” 2) “Did someone discuss your medications' side effects before discharge?” 3) “Were you provided with a written list of your medications at the time of discharge?” and 4) “Did you experience any problems obtaining your prescriptions at the time you were discharged?” Each survey took approximately 15 minutes to complete.

If we could not reach a patient by telephone, we made up to 20 attempts at several times of the day and week. If we were still not able to contact the patient with these attempts or if 5 weeks had passed, we classified the patient as a nonresponder.

We used the information obtained from the chart review and telephone interview to create case summaries. If a patient experienced any new or worsening symptoms or if they had any visits to health facilities, then we described this outcome's severity, health services used during its treatment, the timing of its onset, and its resolution.

Outcomes

An ADE was any adverse outcome or patient injury that was caused by medication use. A preventable ADE was any ADE judged to be due to a medication error. An ameliorable ADE was a nonpreventable ADE whose severity could have been substantially reduced if there had been an appropriate response by the health system. These are widely accepted definitions that have been used in many studies evaluating medication safety, including the Institute of Medicine's To Err is Human report.4–6,14,15,21–26

Outcome Ascertainment

Two board-certified internists (HJM, JFP) who were not involved in preparation of case summaries rated each case summary independently to determine whether the case met one of the outcome definitions. They used a standard technique that has been validated and used in many studies and populations.1–6,14,15,21–25

Reviewers first rated whether an injury occurred. If so, then they rated their confidence that the injury was caused by medication use on a 6-point scale (1: outcome definitely caused by the patient's disease, 2: outcome probably caused by the patient's disease, 3: outcome more than likely caused by the patient's disease, 4: outcome more than likely caused by the patient's medication, 5: outcome probably caused by the patient's medication, 6: outcome definitely caused by the patient's medication). If their rating was 5 or 6 (injury is probably or definitely caused by medication use), the event was considered an ADE.

If it was an ADE, the internists determined preventability and ameliorability using implicit criteria. It was necessary to use implicit criteria, as it was almost impossible to develop and apply explicit criteria, given the large number of medications and diseases we were studying. In making these judgments, the reviewers considered the expected benefit of the therapy, whether there was an apparent failure to appropriately monitor the patient or therapy, and whether the patient had important contraindications for the particular therapy.

If there was disagreement on any of the ratings, then the two reviewers discussed the case to achieve consensus. If they could not agree, a third board-certified internist (DWB) rated the event independently to determine the final rating. The validity of the method has been demonstrated by excellent interrater reliability and high face validity in a large number of studies.1–6,14,15,21–25

Next, reviewers rated injury severity. Injury severity was categorized in 3 different ways. First, we used a classification scheme defined by Bates et al. and subsequently used in several other studies.4–6,14,15,22–25 This scheme classifies outcome severity into significant, serious, life-threatening, and fatal. To guide severity judgments, reviewers were instructed to rate an ADE significant if it caused minimal symptoms or it was associated with a low risk of long-term consequences to the patient; serious if it caused a temporary or permanent disability or it was associated with a high risk of long-term consequences to the patient; and life-threatening if it had the potential to lead to a fatality. Because this rating system method is subjective, we also rated the ADE in terms of the extent of the injury and the associated health system use.21,27 With respect to extent of the injury, we rated the outcome as laboratory abnormalities only, symptoms only, nonpermanent disability, and permanent disability. With respect to health service use, we categorized the outcome as none, additional visit to a physician, additional visit for laboratory testing in addition to a physician visit, visit to an emergency room, or readmission to hospital.21,27

Statistical Analysis

We present 4 sets of analyses. The first is descriptive and includes the percentage of patients who developed an ADE following discharge, as well as the percentage of those patients whose ADE was preventable or ameliorable. We also determined the proportion of patients with ADEs caused by medications within specific drug classes. We present the injury severity, and the health services used to manage the ADE.

Second, we present data describing the patient's recollection of preparation for discharge. For this, we report the percentage of people responding “yes” to our questions, and the proportion of these patients experiencing an ADE.

Third, we describe the number of prescriptions in total and within separate medication classes. Using these values as denominators, we determined the ADE rate per prescription within specific medication classes.

Last, we performed exploratory analyses to determine whether clinical factors, discharge preparations, or prescription number were associated with ADE occurrence. The clinical factors we assessed were age, gender, Charlson comorbidity index,28 and the number of admissions to the study hospital in the 6 months prior to the index hospitalization. With respect to number of prescriptions, we divided the cohort into 4 groups based on quartiles. If any factor was significantly associated with the outcome using univariate methods at P<.20, then the variable was included in a multivariable logistic regression model.

We did not perform a formal sample size calculation. We had no data on which to base our risk estimates, as there had been no previous studies evaluating adverse events following hospitalization. Thus, we chose our sample size based on a desired level of precision (range of 95% confidence limits no greater than 10%) and an upper limit of estimated adverse event prevalence (20%). SAS version 8.1 was used for all analyses (SAS Institute, Cary, NC).

RESULTS

  1. Top of page
  2. Abstract
  3. METHODS
  4. RESULTS
  5. DISCUSSION
  6. Acknowledgments
  7. References
  8. Supporting Information

During the study period, 677 patients were discharged home and 581 were eligible for our study. Patients were ineligible because they could not speak English (n=47) or did not have a valid telephone number (n=49). We were able to complete interviews for 400 eligible patients (response rate, 69%). It took us, on average, two attempts to contact these patients by telephone (interquartile range [IQR], 1–3).

One hundred eighty-one people were eligible for the study but were not included in our results. Of these, 121 patients did not consent to the study (62 patients returned “refuse to consent cards” and 59 patients refused at the time of the follow-up call). We could not contact 60 patients after several attempts (median 8 telephone calls; IQR, 6–10) or after 5 weeks following discharge.

Of the 400 patients who participated in the study, 61% were female, the mean age was 57 years, and 64% described their race as white. The most common discharge diagnoses were pulmonary (17%) and cardiovascular disorders (15%). Within these categories, the primary diagnosis was most often pneumonia (6%) and congestive heart failure (5%), respectively. Most patients had at least 1 chronic medical condition, as indicated by a median Charlson index of 1 (IQR, 0–2). Although 52% of patients had not been admitted to the study hospital in the previous 6 months, 22% had 1 and 26% had more than 1 hospitalization. Most patients' health insurance was with a managed care plan or was covered by Medicare. Very few patients received Medicaid or free care (Table 1).

Table 1. Patient Population
CharacteristicPopulationNonparticipants*
  • *

    Participants and nonparticipants did not differ; P<.10.

N400181
Female, %6157
Age, y57±1757±17
Race, %
 White6459
 African American2429
 Hispanic78
 Other54
Discharge diagnosis, %
 Pulmonary disorders1717
 Pneumonia68
 Obstructive lung disease65
 Cardiovascular disorders1515
 Congestive heart failure56
 Coronary artery disease46
 Arrhythmia and other64
Payer, %
 Medicare4537
 Managed care3839
 Medicaid1011
 Fee for service610
 Free care23

Incidence and Severity of ADEs

In total, 45 patients experienced an ADE following discharge (incidence, 11%; 95% confidence interval [CI], 8% to 14%). Overall, 27% of ADEs were preventable and 33% were ameliorable. ADEs were rated as significant in 71% of patients, serious in 13%, and life-threatening in 16%. Among patients with an ADE, 7% required additional laboratory testing, 78% experienced new symptoms of at least 1 day's duration, 13% had a nonpermanent disability, and 2% had a permanent disability. In addition, 42% sought additional health care as a result of their ADE: 11% visited a physician's office, 4% required additional laboratory testing in addition to visiting a physician's office, 11% attended an emergency department, and 16% were readmitted to hospital.

Six medication classes were associated with 87% of the ADEs. Anti-infective agents were the cause of the ADE in 31% of patients. Other frequently implicated medications include corticosteroids (16%), cardiovascular medications (16%), analgesic medications including narcotics (11%), anticoagulants (9%), and antiepileptic drugs (4%).

Most of the ADEs resulted directly from the specific pharmacological activity of the drug. These are described in the Appendix (available online at http://www.jgim.org). The most common ADEs related to anti-infective agents included gastrointestinal or cutaneous complications. Common ADEs related to corticosteroid use included hyperglycemia and neuropsychiatric complications. Cardiovascular medications caused a number of problems including, for example, wheezing in a patient prescribed a beta-blocker, acute renal failure in a patient receiving an angiotensin converting enzyme inhibitor, and urinary retention in a patient receiving clonidine. Common ADEs related to analgesic agents include constipation and somnolence due to narcotics. With antiepileptic drugs the most frequent ADEs occurred when drug-drug interactions led to subtherapeutic drug levels and seizures.

The most common reason for preventable ADEs was the failure to implement appropriate drug monitoring. For example, one patient was sent home on potassium supplements and spironolactone and had no monitoring of electrolytes arranged. This patient was readmitted with dangerously elevated potassium levels within 2 weeks of discharge. Another patient was sent home on IV gentamicin and had no monitoring of drug levels. This patient developed ototoxicity. The most common reason for ameliorable ADEs was failure to evaluate for, and act on, predictable medication side effects. For example one asthmatic patient was sent home on a beta-blocker for coronary artery disease and developed wheezing and coughing. This patient experienced these symptoms for several weeks before seeing the cardiologist and being instructed to stop the medication. The patient did not know that wheezing was a common side effect of beta-blockers. Therefore, the patient did not contact the physician when the symptoms first developed. This ADE was felt to be ameliorable because the duration of the symptoms could have been reduced if the patient had known to contact the physician earlier.

Preparations for Discharge and Association with Adverse Event Occurrence

We asked patients about their recollection of 4 processes of care at the time of discharge (Table 2). In all, 4% of the study participants were unable to answer these specific survey questions because they did not understand the questions. These patients were excluded from this portion of the analysis. For the most part, patients reported exemplary practices related to preparation for discharge. Among patients, 83% recalled discussing their medications with a health provider prior to discharge; 90% of patients recalled being provided with a written list describing the medications; and 88% of patients recalled that they had no problem obtaining their prescribed medications immediately after discharge. However, only 62% of patients could recall a discussion about medication side effects.

Table 2. Patient Responses to Survey Determining Recollection of Discharge Preparations and Risk of Adverse Drug Event
QuestionResponse N=400 (%)Response “Yes” (%)Patients Responding “Yes” Who Experienced ADE (%)Patients Responding “No” Who Experienced ADE (%)
  • *

    Difference not statistically different; P=.24.

  • Difference statistically different; P<.01.

  • The table describes the 4 questions we posed to patients to assess their recollection of preparations for discharge. For each question, we identify the number of patients responding appropriately to the question, the proportion responding “Yes” to the question, and the proportions of “Yes” respondents and “No” respondents experiencing an ADE. For each question, approximately 4% of patients did not respond appropriately.

  • ADE, adverse drug event.

Did a health provider discuss your medications with you before you left the hospital?385 (96)831210
Were you provided with a written list describing your medications?383 (96)901214
Did you have any trouble getting your prescriptions filled when you left the hospital?382 (96)121811*
Did someone describe the side effects of your medications to you before you left the hospital?382 (96)62818%

The risk of an ADE in patients who recalled having the side effects of their medications described was less than half of the risk in patients who had no such recollection. The risk of ADEs was not related to patient recollection of discussions about medications in general, difficulty obtaining prescriptions, or being provided with a written list of the medications.

Prescription Characteristics and ADE Occurrence

In total, 3,311 prescriptions were written for the 400 study patients at the time of discharge (Table 3). The median number of prescriptions written per patient was 8 (IQR, 5–11). One patient received 26 prescriptions at the time of discharge. The top 5 most commonly prescribed classes of medications at the time of discharge were cardiovascular agents (1.2 prescriptions per patient), nutrient agents (including electrolyte and vitamin supplements; 1.1 prescriptions per patient), gastrointestinal agents (0.9 prescriptions per patient), respiratory agents (0.7 prescriptions per patient), and anti-infective agents (0.7 prescriptions per patient).

Table 3. Medications Prescribed at Discharge
Drug ClassPrescriptions Within Class (N)Prescriptions per PatientInterquartile RangeMaximum Prescriptions per Patient
  • *

    “Nutrients” refer to electrolyte supplementation and vitamin supplementation.

  • NSAIDS, nonsteroidal anti-inflammatory drugs.

All classes3,3118.3626
Cardiovascular4961.226
Nutrients*4221.126
Gastrointestinal3540.915
Respiratory2870.717
Anti-infectives2740.718
Analgesia1590.413
Antiplatelet agents1310.312
Diuretics1140.313
Antidepressants1110.303
Antilipid1100.312
Hypoglycemics1050.303
Corticosteroids980.202
Sedatives810.204
Hormone680.204
Warfarin560.101
Epilepsy490.103
Immune-modulating490.102
NSAIDS410.101
Antipsychotics340.102
Heparins290.102
Gout230.102
Antihistamine220.102
Ophthalmics180.005
Osteoporosis170.001
Muscle relaxants90.002
Stimulants40.001
Antineoplastic30.002
Anti-Parkinson's30.001
Alzheimer's20.001
Other1420.404

The risk of ADE per prescription was highest for corticosteroids (7%; 95% CI, 4% to 14%), anticoagulants (7%; 95% CI, 3% to 17%), antibiotics (5%; 95% CI, 3% to 8%), analgesics (3%; 95% CI, 1% to 7%), and cardiovascular medications (1%; 95% CI, 1% to 3%) (Table 4).

Table 4. Adverse Drug Event Rate per 100 Prescriptions
Drug ClassADEs (N)Prescriptions (N)ADEs per 100 Prescriptions (95% CI)
  1. This table displays the number of ADEs per prescription. For example, there were 7 ADEs occurring in patients prescribed a corticosteroid at discharge and 98 prescriptions for this type of medication.

  2. ADE, adverse drug event.

All classes453,3111.4 (1.0 to 1.8)
Corticosteroid7987.1 (3.5 to 14.0)
Anticoagulants4567.1 (2.8 to 17.0)
Anti-infectives142745.1 (3.0 to 8.4)
Analgesics (including narcotics)51593.1 (1.3 to 7.1)
Cardiovascular74961.4 (0.7 to 2.9)

The risk of an ADE increased with the number of medications prescribed. The risk of an ADE was similar in the first, second, and third quartiles of prescribed medications. The ADE rates in these groupings were 7% (95% CI, 4% to 15%), 8% (95% CI, 4% to 16%), and 11% (95% CI, 7% to 18%), respectively. However, the rate increased dramatically to 18% (95% CI, 11% to 27%) in patients prescribed 12 or more medications at discharge. The odds ratio for experiencing an ADE if a patient was prescribed 12 or more medications compared to a patient prescribed 4 or fewer is 2.7 (95% CI, 1.1 to 6.8).

We reviewed each case summary in which there was an ADE to determine whether it was old or new medications that accounted for the ADE. In all but 1 of the 45 ADEs, the ADE was secondary to a new medication being started (41 ADEs) or a dose change (3 ADEs).

Risk Factors for ADE Occurrence

Only the number of medications prescribed and a recollection of having their side effects described were significantly associated with ADE occurrence using univariate methods at P<.20 (Table 5). The adjusted OR for the risk of ADE in patients recalling education regarding side effects versus those patients who do not was 0.4 (95% CI, 0.2 to 0.8). The adjusted OR for the risk of an ADE in patients prescribed the highest quartile of medication prescriptions versus those patients receiving the lowest quartile of medication prescriptions was 2.6 (95% CI, 1.0 to 6.8) (Fig. 1).

Table 5. Risk Factors for Adverse Drug Events
FactorPatients with ADE n=45Patients Without ADE n=355OR (Unadjusted)OR (Adjusted)
  1. This table demonstrates the results of our analysis to determine risk factors for adverse drug events. We determined that only the number of medications prescribed and whether the patient recalled having the medication side effects explained were associated with ADE occurrence using univariate analyses. These factors remained significant when they were entered into a multivariate model.

  2. ADE, adverse drug event; OR, odds ratio.

Age, y (range)57 (43–68)58 (43–71)1.0 (1.0 to 1.0) 
Gender (% female)31 (69)312 (60)1.4 (0.7 to 2.7) 
Charlson score1 (0–1)1 (0–2)0.9 (0.7 to 1.1) 
Admissions in preceding 6 months (%)
 None27 (60)179 (50)1 
 1 or more18 (40)176 (50)0.7 (0.4 to 1.3) 
Length of stay (%)
 1 day or less11 (24)88 (25)1 
 2 days9 (20)78 (22)0.9 (0.4 to 2.3) 
 3–4 days9 (20)101 (28)0.7 (0.3 to 1.8) 
>5 days16 (36)88 (25)1.5 (0.6 to 3.3) 
Side effects explained (% yes)19 (42)218 (65)0.4 (0.2 to 0.7)0.4 (0.2 to 0.7)
Trouble getting medications (% yes)8 (18)38 (11)1.7 (0.7 to 4.0) 
No. of medications prescribed (%)
 <57 (16)87 (25)11
 5–78 (18)87 (25)(0.4 to 3.2)1.1 (0.4 to 3.3)
 8–1113 (29)10 (29)1.6 (0.6 to 4.1)1.5 (0.6 to 4.0)
 >1217 (38)79 (22)2.7 (1.1 to 6.8)2.6 (1.0 to 6.8)

Reviewer Agreement

Physician reviewers had moderate to high reliability in their judgments. For adverse event judgments, the reviewers agreed 87% of the time on initial review, with a corresponding κ value of 0.61. For the remaining 13% of cases, consensus was achieved 80% of the time and one third were judged adverse events. A third reviewer reviewed the remaining cases and one third of these were rated adverse events. For preventability there was 82% agreement and a κ of 0.60 and for ameliorability there was 78% agreement and a κ of 0.51.

DISCUSSION

  1. Top of page
  2. Abstract
  3. METHODS
  4. RESULTS
  5. DISCUSSION
  6. Acknowledgments
  7. References
  8. Supporting Information

We identified several aspects of medication safety that could be improved following hospital discharge. Overall, about 1 in 9 medical patients experienced an ADE during this period. Approximately a third of the ADEs were the result of errors and another third were more severe than they might have been if health care delivery had been optimal. While nearly all patients had discussed their medications with a provider before discharge, only about two thirds recalled being warned about their side effects, and these patients were about half as likely to experience an ADE. We also found that patients were prescribed a large number of medications and the more drugs prescribed, the greater the risk of an ADE. The risk increase was not linear, as there was a dramatic increase once patients were prescribed more than 11 medications. Also, all but 1 of the ADEs was due to newly prescribed medications or modifications in previously prescribed medications. The risk per prescription appears to be greatest for corticosteroids, anticoagulants, anti-infective agents, analgesic agents, and cardiovascular medications. Finally, problems with monitoring drug therapies were the most frequent cause of preventable and ameliorable ADEs.

We found that some aspects of preparing patients in anticipation of discharge may help reduce ADEs. Our finding of an association between the recollection of instructions regarding medication side effects and reduced ADE risk is intriguing but does not prove causation. The biologic explanation for this relationship is unknown but it could relate to differences in patient behavior. If a patient is warned about a side effect, then they may stop a medication at an earlier stage and may not even report the problem, as to them it was “expected.” Similarly, if they are aware of the need to perform blood testing to avoid complications, then they may be more compliant. An alternative explanation for the association is confounding by unmeasured patient or treatment characteristics. However, in another study by Gandhi et al. this association was also identified.6 Taken together, these data suggest that clinicians may be wrong in assuming that discussion of medication side effects will actually increase the risk of symptoms, although tailoring for individual patients is likely important.29

Our data demonstrate one particular difficulty in improving drug safety. Specifically, patients today receive large numbers of prescriptions that on their own are associated with low risk. The risk associated with each prescription in our study was approximately 1 ADE per 100 prescriptions, as opposed to the risk per patient, which was closer to 1 in 10. Given the large number of prescriptions and the potential problems associated with each of these, teaching efforts cannot possibly be inclusive. It is probably better to focus on specific education efforts on high-risk therapies and their most likely side effects, while at the same time improving methods of monitoring every patient postdischarge for problems.

Finally, we determined that patients prescribed more drugs, those on new medication regimens, and those prescribed medications within specific classes could be targeted for prevention and amelioration strategies. Given the limited resources available in most hospitals, it might be most cost effective to preferentially target patients receiving high-risk or new medications. Although untested, there are a number of interventions that could be tried following discharge. For example, warfarin clinics may be set up to monitor hospitalized patients sent home on warfarin; other high-risk patients could be seen by the treating hospitalist within a week of discharge; or a pharmacist could meet with patients prior to discharge to discuss medications and phone the patient a few days later to resolve any problems they were having.

Compared to data on inpatients, relatively little data are available regarding ADEs immediately following discharge from the hospital. Although there are several studies evaluating ADEs in hospital and in ambulatory settings, the ADE Prevention Study,4 which evaluated hospitalized patients, is the most similar to this current study's methodology. Both used a prospective method of ADE detection and then implicit physician judgments to determine whether adverse outcomes were due to medication use. One important difference was that we used first-hand reports from patients to identify posthospital outcomes, whereas the other study used prompted incident reporting by health workers and daily chart reviews.

The results of the two studies are similar. The ADE rate in the ADE Prevention Study, which included both medical and surgical patients, was 6.5 per 100 admissions, versus 11 per 100 hospital discharges in the current study, which included only medical patients. The proportion of ADEs that were preventable was 28% versus 27% in the two studies. The severity of injuries was similar in the two studies, with approximately 1 in every 7 injuries rated as life-threatening. The types of medications responsible for the ADEs were also very similar.

The slightly higher rate of ADEs following discharge could be related to the fact that patients are not monitored as closely following discharge as is capable in the hospital. It could also relate to the fact that patients were followed for on average 24 days following discharge, which is much longer than the average hospitalization. Taken together, these data suggest that the increased vigilance for ADEs must carry on after a patient's hospital discharge.

Our study had a number of limitations. It is carried out at a single institution and only includes medical patients. Also, in measuring preparation for discharge, we did not observe what actually did occur before discharge but instead relied on a patient's recollection of what occurred. Finally, although we were able to determine for all the ADEs whether the responsible medication was newly prescribed or changed, we do not have such data for all medications.

In conclusion, we identified that a significant number of patients experience ADEs following hospital discharge. We identified a number of risk factors which suggest interventions to improve safety. These interventions include improved teaching regarding medications, especially regarding side effects. Improved monitoring of drug therapies following discharge is also likely necessary. The next step is to test these interventions.

Acknowledgments

  1. Top of page
  2. Abstract
  3. METHODS
  4. RESULTS
  5. DISCUSSION
  6. Acknowledgments
  7. References
  8. Supporting Information

Dr. Forster was supported in this research by an R. Samuel McLaughlin Fellowship.

References

  1. Top of page
  2. Abstract
  3. METHODS
  4. RESULTS
  5. DISCUSSION
  6. Acknowledgments
  7. References
  8. Supporting Information

Supporting Information

  1. Top of page
  2. Abstract
  3. METHODS
  4. RESULTS
  5. DISCUSSION
  6. Acknowledgments
  7. References
  8. Supporting Information

Appendix. Adverse Drug Events.

FilenameFormatSizeDescription
JGI_30390_sm_appendix.doc100KSupporting info item

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