Abstract
Objective
We examined patient beliefs about provider awareness of medication use, patient-reported prevalence and nature of provider counseling about medications, and the impact of health literacy on these outcomes.
Methods
Structured interviews were conducted at academic general internal medicine clinics and federally qualified health centers with 500 adult patients. Interviewer-administered surveys assessed patients’ beliefs, self-reported prevalence and nature of provider counseling for new prescriptions, and medication review.
Results
Most patients believed their physician was aware of all their prescription and over the counter medications, and all medications prescribed by other doctors; while a minority reported disclosing over the counter and supplement use. Among those receiving new prescriptions (n = 190): 51.3% reported physician medication review, 77.4% reported receiving instructions on use from physicians and 43.3% from pharmacists. Side effects were discussed 42.9% of the time by physicians and 25.8% by pharmacists. Significant differences in outcomes were observed by health literacy, age, and clinic type.
Conclusions
There is a sizable gap between what patients believe physicians know about their medication regimen and what they report to the physician.
Practice implications
Discordance between patient beliefs and physician knowledge of medication regimens could negatively impact patient safety and healthcare quality.
Keywords: Patient beliefs, Patient provider communication, Medications, Health literacy, Medication, Safety
1. Introduction
For half of US adults, taking prescription medications is a daily activity that must be sustained over time to treat one or more chronic conditions [1–3]. Multiple studies and seminal reports from the Institute of Medicine (IOM) have identified that medication non-adherence (intentional or unintentional) leads to increased cost, morbidity, and mortality [4–7]. Patients with low health literacy and older adults are among the most vulnerable; with high rates of misunderstanding of medication instructions and warning labels leading to unintentional non-adherence and adverse events [5,8–13]. Medical providers play an integral role in educating patients to promote safe medication use; however, appropriate counseling relies on the patients’ disclosure of: (1) medications prescribed by other physicians; (2) non-prescription drugs and supplements; and (3) medications filled by pharmacies that are not electronically linked to the primary care practice.
Previous studies have found deficiencies in patient–provider communication with patients failing to report medications prescribed by other practitioners, discuss medication concerns, and disclose the use of non-prescribed and complementary therapies [12,14–18]. The quality and quantity of physician counseling on appropriate medication use are highly variable; physicians often fail to speak with patients about the importance of adherence or to address any patient concerns about medication side effects or cost [12,15,18–21]. Pharmacist engagement with patients about medications is also suboptimal [22]. Despite the federal mandate for drug counseling at the point of prescribing, multiple studies suggest that direct pharmacist counseling does not routinely occur in the community [23–28]. The lack of uniform integration between medical practices and community retail pharmacies serves as an additional barrier to maintaining an accurate medication record [29–31]. Additionally, the recent dramatic increase in patient use of internet pharmacies, many of which do not require a legitimate prescription, do not allow providers the opportunity to ensure safe practices by counseling and may further contribute to patients’ lack of disclosure [32,33].
It is unclear whether differences in patients’ perceptions from providers’ perceptions may contribute to inadequate communication about medications. Previous studies examining patient beliefs about medications have been small, largely descriptive and have yielded contradictory results [18]. No published studies to date have examined patient beliefs about provider knowledge and awareness of medications. Additionally, the effect of the electronic health record (EHR) and electronic prescribing on patient beliefs and patient–provider communication are not well-established.
The purpose of this study was to examine patient beliefs about provider knowledge of medications and also related patient–provider communication. We performed cross-sectional, structured interviews with patients seeking care at primary care clinics to assess: (1) patient beliefs of physician awareness of their entire medication regimen and (2) patient-reported rates of medication list review, counseling on use, and discussion of side effects by physicians and pharmacists. We also performed exploratory analyses to assess whether the presence of the electronic health (EHR) may affect patient–provider communication.
2. Methods
2.1. Study participants
Adult patients who attended one of four outpatient primary care clinics were recruited in Shreveport, Louisiana and Chicago, Illinois. One clinic in each city was an academic general medicine practice while a second clinic was a safety-net community health center. Subject recruitment and interviews took place between June and August 2007. Patients were considered eligible if they were 18 or older and ineligible if the clinic nurse or study research assistant identified a patient as having one or more of the following: (1) severely impaired vision; (2) hearing problems; (3) illness severe enough to preclude participation in the survey; and (4) limited English proficiency. Verbal informed consent for the study was obtained by the research assistants by approaching the patients in the clinic. Institutional Review Boards for all locations approved the study.
A total of 562 patients were approached in the order that they arrived at the clinics prior to the medical encounter; 530 consented to the study. Thirteen patients were excluded based on self-reported hearing (n = 3) or vision (n = 10) impairments. Ten patients were excluded due to limited English proficiency and seven were excluded based on incomplete information, resulting in a sample size of 500 patients. The sample was evenly split across the two geographic locations (n = 250 per city) and practice setting (academic, safety net; n = 125 within each study location). A response rate was determined following the American Association for Public Opinion Research standards, estimating that 92.8% of approached eligible patients participated in the study [34].
2.2. Procedure and measurement
Structured interviews were conducted with all patients to assess beliefs about provider knowledge of their medication regimen. Three items using a 4-point Likert scale set of response options assessed patients’ perceptions about their physician's understanding of their medication use (‘my doctor is aware of all of the medicines that I am taking’, ‘my doctor is aware of all of the over-the-counter drugs (OTC) that I am taking’, ‘my doctor is aware of all of the medicines that other doctors prescribe me’). In addition, we asked patients whether or not they told their doctor about the use of OTC drugs, herbal supplements or vitamins.
Participants were then asked if they had received a new prescription medication from their doctor within the past three months. A total of 190 of the 500 patients (38.0%) stated they had received a new prescription; these individuals were asked additional items to assess the prevalence of: (1) physician–patient communication pertaining to the use of a new prescription medication (‘did your doctor explain to you how to take this medicine’, ‘did your doctor teach you about any potential side effects or risks’); (2) pharmacist–patient communication pertaining to the use of a new prescription medication (modified from above). A trained research assistant administered the interview that included self-report of socio-demographic information (age, gender, race, education) and the number of daily prescription medications currently taken. The Rapid Estimate of Adult Literacy in Medicine (REALM) was used to assess participant literacy skills [35].
2.3. Analysis plan
Descriptive statistics (percentage, mean and standard deviation) were calculated for each variable. Responses to items assessing patient beliefs and self-reported provider–patient communication were dichotomized based on valence (strongly or slightly agree vs. strongly or slightly disagree). Chi-square tests were used to evaluate the association between sample characteristics and item responses. Multivariable logistic regression models were performed for each belief and communication outcome, including any variables found in bivariate analyses to be significant at p < 0.10 as covariates. All statistical analyses were performed using STATA software version 10.0 (StataCorp, College Station, TX, USA).
3. Results
Table 1 provides a socio-demographic and clinical profile for both the total patient sample (n = 500) and the subsample of those patients receiving a new prescription in the past three months (n = 190). In general, patients were middle-aged, predominantly female (60.4%), and black (63.6%). About half (52.6%) reported a high school level of education or less and half (52.5%) had limited literacy skills. One quarter (23.0%) of patients had two or more prescribing physicians, with an average number of 2.9 prescriptions (range: 0–27). Few differences were noted among those receiving new prescriptions (n = 190), with exceptions being the number of prescribing physicians and prescriptions currently taken. In addition, more patients in the safety-net clinic sites received a new prescription in the past three months compared to those in the academic setting (64.9% vs. 35.1%, p < 0.001).
Table 1.
Variables | All patients (n = 500) | Patients with recent prescription (n = 190) |
---|---|---|
Age, mean (SD) | 48.9 (14.4) | 48.0 (14.2) |
Male, % | 39.6 | 35.1 |
Race, % | ||
Black | 63.6 | 58.4 |
White | 32.8 | 36.8 |
Other | 3.6 | 4.8 |
Years of education, % | ||
<High school | 19.4 | 22.0 |
High school | 33.2 | 31.3 |
Some college | 20.4 | 20.9 |
College graduate | 26.6 | 25.8 |
Literacy level, % | ||
Inadequate (≤6th grade) | 20.9 | 19.5 |
Marginal (7th–8th grade) | 31.6 | 26.5 |
Adequate (≥9th grade) | 47.5 | 54.0 |
Medications taken daily, mean (SD) | 2.9 (3.1) | 4.0 (3.6) |
Number of prescribing physicians | ||
0 | 11.4* | 1.6** |
1 | 65.6 | 67.0 |
2 | 16.3 | 20.5 |
56 patients reported having no prescription medications.
3 patients with recent prescription reported not having a regularly prescribing physician.
The majority of patients believed that their physician was aware of all prescription and OTC medications they were currently taking (90.2% and 85.4% respectively; Table 2). Additionally, most patients believed that doctors were aware of medications that were prescribed by other doctors (91.3%). However, less than half of participants reported having told their doctor about any OTC drugs (46.0%), herbal supplements or vitamins (34.1%). Patients with a higher number of prescribing physicians and daily medications, and patients who received care at academic practices were significantly more likely to believe that their doctor was aware of their entire medication regimen, including drugs prescribed by other providers (Table 3). Factors associated with higher rates of disclosure of non-prescribed medications (OTC drugs, herbal supplements, vitamins) were: a higher number of prescribing physicians, higher number of daily medications, receiving care at an academic medical center, older age, and non-black race. Factors associated with lower rates of disclosure were: fewer years of formal education, lower literacy, and black race (p < 0.05 for each association).
Table 2.
Item | Total, % |
---|---|
Patient beliefs about provider medication awareness (n = 500) | |
Doctor is aware of all medicines I am taking | 90.2 |
Doctor is aware of all OTC drugs I am taking | 85.4 |
Doctor is aware of medicines prescribed by other doctors | 91.3 |
Patient-reported rates of medication-related communications patient communication (n = 500) | |
Told doctor about OTC drugs currently taking | 46.0 |
Told doctor about herbal supplements or vitamins currently taking | 34.1 |
Physician communication (n = 190) | |
Reviewed medication list | 51.3 |
Explained how to take medicine | 77.4 |
Described side effects | 42.9 |
Pharmacist communication (n = 190) | |
Explained how to take medicine | 43.3 |
Described side effects | 25.8 |
Table 3.
Variables | Beliefs (Doctor is aware of...) |
Communication (Told doctor about...) |
||||||||
---|---|---|---|---|---|---|---|---|---|---|
All medicines I am taking |
All OTC drugs I am taking |
Medicines prescribed by other doctors |
OTC drugs currently taking |
Herbal supplements or vitamins currently taking |
||||||
% | p-Value | % | p-Value | % | p-Value | % | p-Value | % | p-Value | |
Age | 0.04 | 0.09 | 0.30 | <0.001 | 0.002 | |||||
<45 | 89.8 | 89.3 | 93.8 | 35.0 | 25.4 | |||||
45–59 | 97.4 | 81.3 | 89.2 | 50.0 | 35.2 | |||||
≥60 | 96.0 | 86.4 | 90.9 | 55.2 | 44.7 | |||||
Gender | 0.34 | 0.42 | <0.001 | 0.08 | 0.59 | |||||
Female | 89.3 | 83.8 | 95.0 | 49.2 | 35.5 | |||||
Male | 91.9 | 86.4 | 85.7 | 41.1 | 33.1 | |||||
Race | 0.36 | 0.76 | 0.25 | <0.001 | <0.001 | |||||
Black | 92.8 | 85.0 | 92.4 | 40.0 | 28.3 | |||||
Other | 89.0 | 86.0 | 89.3 | 56.7 | 44.4 | |||||
Education | 0.27 | 0.87 | 0.23 | 0.01 | <0.001 | |||||
<High school | 86.6 | 86.3 | 88.7 | 36.7 | 17.4 | |||||
High school | 93.4 | 83.6 | 93.3 | 40.4 | 29.5 | |||||
Some college | 88.2 | 85.0 | 93.9 | 49.5 | 35.6 | |||||
College graduate | 91.1 | 87.0 | 87.8 | 56.1 | 52.9 | |||||
Literacy level | 0.62 | 0.96 | 0.61 | <0.001 | <0.001 | |||||
Inadequate | 90.4 | 84.5 | 89.4 | 35.6 | 26.0 | |||||
Marginal | 88.5 | 85.8 | 92.9 | 39.2 | 24.9 | |||||
Adequate | 91.1 | 85.5 | 91.0 | 55.3 | 44.2 | |||||
Number of prescribing physicians | <0.001 | 0.30 | 0.01 | 0.001 | <0.001 | |||||
0 | 73.2 | 82.1 | 80.4 | 28.6 | 27.3 | |||||
1 | 93.5 | 83.4 | 91.5 | 45.0 | 29.9 | |||||
2 | 87.3 | 91.1 | 94.9 | 62.5 | 51.3 | |||||
≥3 | 93.8 | 90.0 | 97.0 | 45.5 | 51.5 | |||||
Medications taken daily | 0.001 | 0.44 | 0.004 | 0.001 | 0.09 | |||||
None | 80.4 | 82.4 | 86.0 | 32.7 | 25.5 | |||||
1–2 | 93.6 | 85.7 | 93.0 | 43.3 | 34.5 | |||||
3–4 | 91.2 | 93.3 | 86.9 | 49.5 | 33.9 | |||||
≥5 | 93.8 | 89.6 | 98.2 | 59.5 | 41.8 | |||||
Clinic type | 0.02 | 0.03 | 0.04 | 0.04 | 0.001 | |||||
Academic | 97.6 | 91.7 | 95.8 | 53.7 | 47.1 | |||||
Safety net | 87.8 | 83.4 | 89.8 | 43.5 | 29.9 |
Among only those participants who received a new prescription in the past three months (n = 190), half (51.3%) reported that their doctor reviewed the medication list with them. Most (77.4%) reported that their doctor explained how to take the medication, while less than half received instructions on proper medication use from their pharmacist (43.3%; Table 2). Side effects were less often discussed by both physicians (42.9%) and pharmacists (25.8%). According to patient self-report, older patients were significantly more likely to have the doctor review their medication list, but were significantly less likely to receive information on side effects (Table 4). Patients who were taking more daily medications and receiving care at academic practices were more likely to report that physicians explained how to take medications and reviewed the medication list.
Table 4.
Physician |
Pharmacist |
|||||||||
---|---|---|---|---|---|---|---|---|---|---|
Reviewed medication list |
Explained how to take medicine |
Described side effects |
Explained how to take medicine |
Described side effects |
||||||
% | p-Value | % | p-Value | % | p-Value | % | p-Value | % | p-Value | |
Age | 0.04 | 0.31 | 0.04 | 0.02 | 0.88 | |||||
<45 | 52.8 | 79.7 | 54.1 | 52.8 | 26.4 | |||||
45–59 | 51.5 | 71.4 | 34.8 | 29.9 | 23.9 | |||||
≥60 | 73.3 | 82.6 | 37.0 | 48.7 | 28.2 | |||||
Gender | 0.39 | 0.22 | 0.73 | 0.76 | 0.55 | |||||
Female | 55.0 | 80.2 | 43.8 | 44.1 | 28.4 | |||||
Male | 61.5 | 72.5 | 41.2 | 36.4 | 24.3 | |||||
Race | 0.39 | 0.97 | 0.97 | 0.15 | 0.90 | |||||
Black | 54.6 | 77.3 | 42.7 | 47.7 | 26.2 | |||||
Other | 61.0 | 77.5 | 43.0 | 36.6 | 25.4 | |||||
Education | 0.22 | 0.16 | 0.11 | 0.13 | 0.12 | |||||
<High school | 45.0 | 74.4 | 33.3 | 46.2 | 25.6 | |||||
High school | 61.4 | 80.0 | 47.5 | 53.5 | 36.2 | |||||
Some college | 55.3 | 65.9 | 34.2 | 33.3 | 16.7 | |||||
College graduate | 66.0 | 85.4 | 55.3 | 33.3 | 19.1 | |||||
Literacy level | 0.50 | 0.55 | 0.08 | 0.60 | 0.13 | |||||
Inadequate | 55.6 | 75.0 | 58.3 | 47.2 | 36.1 | |||||
Marginal | 51.0 | 73.1 | 34.6 | 47.1 | 29.4 | |||||
Adequate | 61.0 | 80.4 | 41.6 | 39.6 | 19.8 | |||||
Medications taken daily | 0.16 | 0.03 | 0.45 | 0.69 | 0.29 | |||||
0 | 23.1 | 50.0 | 40.0 | 57.1 | 42.9 | |||||
1–2 | 50.0 | 75.8 | 50.0 | 41.0 | 19.7 | |||||
3–4 | 55.6 | 78.3 | 34.8 | 40.0 | 24.4 | |||||
≥5 | 73.8 | 85.5 | 41.9 | 44.8 | 29.3 | |||||
Number of prescribing physicians | 0.002 | 0.35 | 0.70 | 0.13 | 0.58 | |||||
0 | 0.0 | 50.0 | 25.0 | 0.0 | 0.0 | |||||
1 | 55.6 | 75.4 | 45.6 | 45.8 | 25.0 | |||||
2 | 63.2 | 82.1 | 38.5 | 31.4 | 25.7 | |||||
≥3 | 65.0 | 85.7 | 38.1 | 55.0 | 35.0 | |||||
Clinic type | <0.001 | 0.001 | 0.001 | 0.11 | 0.44 | 0.70 | ||||
Academic | 78.5 | 90.8 | 50.8 | 38.9 | 27.8 | |||||
Safety net | 45.8 | 70.4 | 38.7 | 45.2 | 25.0 |
Based on noted clinic differences (academic vs. safety net), we performed exploratory analyses to further understand these associations. Only one of the sites (the academic site in Chicago) utilized an electronic health record (EHR) with computerized order entry and electronic prescribing capabilities; the other academic site and both safety net clinics used paper charts. Patients at the EHR location (n = 65) were more likely to believe their doctor was aware of all medicines they were taking (97.6% vs. 87.7%, p = 0.001), all OTC drugs and supplements they were taking (91.7% vs. 83.4%, p = 0.03), and prescriptions from other physicians (95.8% vs. 89.8%, p = 0.04). Patients who received a new prescription from the EHR-equipped site were significantly more likely to report that their doctor talked to them about how to take their medicine (90.8% vs. 70.4%, p < 0.001), and review their current medication list (78.9% vs. 42.3%, p < 0.001).
In multivariable regression analysis, females (Adjusted Odds Ratio (OR) 2.8, 95% Confidence Interval (CI) 1.5–5.6, p = 0.002) were significantly more likely than males to believe their primary care doctor knew about all medications prescribed by other physicians. Compared to patients at academic health centers, patients receiving care at safety-net clinics were less likely to believe their doctor knew of all the medications they were currently taking (OR 0.2, 95% CI 0.1–0.6, p = 0.006) and OTC drugs and supplements they were currently taking (OR 0.5, 95% CI 0.2–0.9, p = 0.03). Younger patients and those with inadequate literacy skills were significantly less likely to report telling their doctor about OTC drugs, herbal supplements or vitamins (OTC drugs: <45 years old – OR 0.6, 95% CI 0.3–1.0, p = 0.05; inadequate literacy – OR 0.5, CI 0.2–0.8, p = 0.02; herbal supplements or vitamins: <45 years old – OR 0.6, 95% CI 0.3–0.9, p = 0.04; inadequate literacy – OR 0.6 95% CI 0.3–0.9, p = 0.02).
In terms of provider–patient communication outcomes, in multivariable analysis, patients receiving care at academic practices were significantly more likely to report that their physician explained how to take medications (OR 4.8, 95% CI 1.9–7.5, p = 0.002) or that their physician reviewed their medication list (OR 5.1, 95% CI 2.8–9.5, p < 0.001) compared to those in safety-net settings. None of the covariates included in the models for pharmacist communication were significant predictors of discussion of proper use or side effects.
4. Discussion and conclusion
4.1. Discussion
Overall, the findings portray highly prevalent communication failures from all healthcare perspectives we examined. The physician, pharmacist, and patient did not sufficiently assume responsibility for assuring safe medication practices. According to patients, both physicians and pharmacists frequently missed opportunities to counsel them about newly prescribed medications. Despite this apparent lack of counseling, patients often reported not communicating to providers about certain medicines they may be taking regularly, and largely assumed their physicians knew their entire regimen, including those prescribed by other providers and obtained over the counter. These results suggest that patients may perceive a higher degree of integration of medical information than may occur in actual practice. We hypothesize this may be one reason for inadequate medication communication between patients and physicians. This disconnect may result in serious and costly adverse outcomes.
According to patients, medication review was performed less often by physicians and pharmacists. This may reflect a missed opportunity, but could also be attributed to the fact that another member of the clinic staff, such as a medical assistant or nurse, was responsible for this task. Provider discussion of instructions for use was more common, but important communication regarding side effects was low, consistent with previous reports [23,36,37]. The observed differences in patient-reported counseling rates by physicians compared to pharmacists have several possible explanations. First, patients likely received printed drug-specific information leaflets at the point of dispensing as mandated by law; however, these sources of information may have been inadequate for those with limited literacy, which comprised more than half of our study sample. Also, in the community, pharmacy technicians routinely dispense medications and the pharmacist may not be directly involved in counseling in absence of specific patient concerns. Previous studies found that rates of outpatient pharmacist counseling were inversely related to the number of ancillary staff (i.e. technicians) employed in the pharmacy [22,26]. Alternatively, patients may have preferred to receive most of their counseling through their physician, although the literature on this is limited [18,37].
In multivariable analyses, younger age and low health literacy were significantly associated with lower rates of reporting regular use of over-the-counter drugs (OTCs), herbal supplements or vitamins to the physician. This supports previous work which has shown that health literacy is associated with the ability to navigate the healthcare system and engage in medical decision-making and self-care [8,11,38]. The observed low rates of medication self-report among patients with limited literacy highlights the need for providers to be able to identify these individuals and deliver literacy-appropriate communication pertaining to safe, appropriate use. It is also important for providers to ask younger patients (who generally have fewer prescription medications) about routine use of OTCs and supplements as they may not perceive that this is important to disclose.
Patients at academic centers were more likely to believe physicians were aware of their entire medication regimen. Also, patients reported higher rates of side effects discussion and medication list review at academic centers compared to safety-net practices. It is possible that patients at academic centers had easier access to care, shorter waiting times, and longstanding relationships with primary care physicians, thus increasing their perceptions of higher quality. Another possibility is that patients were accurate in their self-report, and that less frequent counseling at community sites was the result of more acute care visits, lower rates of health maintenance encounters, and decreased care continuity. The potential impact of the electronic health record (EHR) on patient beliefs of provider knowledge and communication outcomes was interesting, but warrants further rigorous investigation. It is plausible that an EHR might promote physician–patient communication, but also lead to patients assuming that their physicians are more knowledgeable about prescribed regimens than they actually are.
4.1.1. Limitations
There are several limitations to this study. The primary outcome data relied on self-reports of provider communication rather than observations of actual behavior. We did not record the duration of the office encounters, the provider type (resident, attending physician, or nurse practitioner), or whether the patient was seeing their regular provider the day of the visit; all factors that may have impacted patient beliefs. Information was also not obtained on provider race and cannot establish whether any differences in patient beliefs may have been attributed to race discordance in the patient provider dyad.
Patients were asked about new medications in the past three months and may have recalled lower or higher rates of physician counseling than actually occurred. It is also not clear whether the patient or the provider initiated the conversation about medications. It was not known who was primarily responsible for conducting the medication review in the clinic; this task is routinely performed by nurses or physician's assistants at some clinics. Also, patients may prefer to discuss side effects with physicians more frequently and forgo that type of conversation with pharmacists [37]. It is also possible that some of the noted differences in rates of medication review might be attributed to the use of undisclosed community retail, hospital-based, or mail order pharmacies. Further, among patients with new prescriptions, we did not collect disaggregated data on the specific medications that were prescribed or the types of OTC medications taken and are unable to comment on differences in outcomes by medication type. This study excluded patients that did not speak English, a population that has been shown to have poorer understanding of medication regimens and greater non-adherence [39,40]. We also did not examine the direct consequences of the documented communication failures, such as whether lack of provider counseling or patient misbeliefs could result in medication errors, non-adherence to regimens, or adverse clinical outcomes.
Our exploratory analyses could not definitively isolate the presence of the EHR as the single attributable cause of noted differences in medication review, communication and patient beliefs across study sites. We recognize that there are many additional unmeasured provider, patient, and clinic-level factors that could account for noted differences, and therefore our results should be interpreted with caution. Finally, we did not document the reasons why patients believed their physicians knew their complete regimen and are only able to point out which subgroups held these perceptions more strongly. It will be essential to explore the reasons behind this finding and its implications in further research.
4.2. Conclusions
This study is the first to our knowledge to identify a significant gap between patient beliefs of physician awareness of their medication regimen and actual patient reporting of medications to their physician. Patient assumptions about provider knowledge may partly explain the multiple communication deficiencies noted in prior research. Future studies should focus on promoting effective patient–provider communication during the medical encounter. This might include finding opportunities to leverage new resources, such as an EHR, to standardize and provide assurances that these discussions occur and medication lists are reviewed and updated.
4.3. Practice implications
Patient assumptions of what physicians know about their regimens and concomitant deficiencies in communication may have serious implications for patient safety and care quality in the ambulatory setting. Clinicians should be mindful to review patients’ entire medical regimens and explicitly inquire about medications obtained over the counter or online and those prescribed by other healthcare professionals.
Acknowledgements
The project was also supported by Award Number T32DK077662 from the National Institute Of Diabetes And Digestive And Kidney Diseases. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute Of Diabetes And Digestive And Kidney Diseases or the National Institutes of Health.
Funding
This project was supported by an unrestricted grant from Target Corporation (PI: Wolf).
Footnotes
Conflict of interest
No financial disclosures were reported by the authors of this paper.
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