Literature DB >> 19936158

Difficult to swallow: patient preferences for alternative valproate pharmaceutical formulations.

Monali Bhosle1, Joshua S Benner, Mitch Dekoven, Jeff Shelton.   

Abstract

OBJECTIVE: To determine the degree to which swallowing valproate (VP) tablets is an issue, the proportion of patients who would prefer an alternative formulation, and the predictors of preference.
METHODS: A quantitative telephone survey of eligible adults (n = 400, >/=18 years old) who currently take (n = 236) or previously took (n = 164) VP tablets within the past 6 months was conducted.
RESULTS: More than half of the patients indicated that VP tablets were 'uncomfortable to swallow' (68.5%, n = 274) and were 'very interested' (65.8%, n = 263) in medications that were easier to swallow. When choosing conceptually between taking VP tablet once/day or an equally safe and effective but significantly smaller soft gel capsule twice per day, the 82.8%, (n = 331) preferred the soft gel capsule. In the multivariate regression analysis, perceiving soft gel capsules to be easier to swallow (OR = 73.54; 95% CI = 15.01 to 360.40) and taking VP more frequently (OR = 2.02; 95% CI = 1.13 to 3.61) were significant predictors of soft gel capsule treatment preference.
CONCLUSION: VP users would prefer a formulation that is easier to swallow, even if it is needed to be taken twice per day. When choosing between medications with similar efficacy and safety, physicians can consider patient preferences to optimize conditions for medication adherence.

Entities:  

Keywords:  patient preference; tablet characteristics; valproate formulations

Year:  2009        PMID: 19936158      PMCID: PMC2778440          DOI: 10.2147/ppa.s5691

Source DB:  PubMed          Journal:  Patient Prefer Adherence        ISSN: 1177-889X            Impact factor:   2.711


Introduction

Bipolar disorder, epilepsy, and migraine headache are prevalent and costly conditions for which valproate (VP) is often prescribed. Studies of US adults estimate bipolar prevalence at 3.7% to 5% with annual total cost estimates ranging from US$10 billion to US$45 billion.1–6 Epilepsy affects about 2.6 million Americans or just less than 1% of the general population, producing an estimated US$1.8 billion in direct medical costs and US$9.3 billion in indirect costs annually (1995 US$).7–9 Migraine headache is, by far, the most prevalent of these three disorders, affecting an estimated 17.2% of women and 6.0% of men in the US with the indirect costs to American employers estimated at approximately US$13 billion annually.10–13 Adherence with prescribed treatment is challenging for patients with these chronic mental and neurological disorders, which all require long-term medication adherence to optimize outcomes and reduce costs.14–20 Studies find that approximately half of patients diagnosed with bipolar disorder are either partially adherent or nonadherent to pharmacological therapy.21–23 Furthermore, 30% to 40% of bipolar patients who actively attempt to adhere to treatment are only partially successful.17 Estimates of treatment adherence among patients diagnosed with epilepsy were examined in observational studies finding medication noncompliance rates ranging from 59% to 71%.24,25 Adherence rates to pharmacologic prophylactic treatment for migraine headache was found to range from 35% to 64% in cohorts of adult Swedish migraineurs.26,27 Treatment nonadherence among patients with these conditions is likely to be a substantial contributor to unfavorable outcomes such as increased frequency of seizures24,25 and may consequently result in high direct and indirect health-related costs.28 Given the significant impact of therapeutic adherence on outcomes and costs, health care providers must recognize that the patient is the end user and ultimate decision maker when it comes to taking medications and that patient satisfaction with a medication strongly affects that decision.29,30 While medication efficacy and safety are of utmost importance, characteristics such as tablet size, shape and ease-of-swallowing can affect patients’ treatment preference and adherence.31,32 A study of patients with anxiety disorder found that significantly more patients preferred the capsule form of chlordiazepoxide as compared to the tablet form.31 A 2003 representative survey of US adults (N = 679) regarding difficulty swallowing pill-form medications found that approximately 40% of respondents had experienced difficulty swallowing pills.33 Among those having difficulty swallowing pills, the majority described feeling that it was ‘stuck in the throat’ (80%), having a ‘bad aftertaste in the mouth’ (48%), or ‘gagging’ (32%).33 This study supports the assertion that difficulty swallowing pills negatively impacts medication adherence, as it found that those reporting this problem also reported delaying doses (14%), skipping doses (8%), and discontinuing medication (4%) due to difficulty swallowing it.33 One in five adults surveyed reported they had hesitated to take a pill because they thought they may have trouble swallowing it, with the majority attributing this perception to pill size (84%) and/or pill shape (29%).33 One in 10 respondents reported choosing pills based on how difficult they might be to swallow, with women (14%) being substantially more likely to use this criterion than men (4%).33 Thus, patient acceptance of tablets and their adherence could be affected by size and shape of the tablet. Valproate (VP) is commonly used to control bipolar disorder, epilepsy, and migraine prophylaxis and is most often prescribed in tablet form. The objective of the current research was to assess whether a VP formulation (‘Product X’) with alternative soft gel characteristics such as smaller size, different composition, and different shape impact patient perceptions about ease of swallowing and treatment preference.

Methods

We conducted a quantitative telephone survey of adults (N = 400, ≥18 years old) who currently (n = 236) or previously (n = 164) took VP tablets (125 mg, 250 mg, or 500 mg) in the past 6 months. Participants were recruited using two different sources, a national on-line consumer survey panel and referrals from the National Association of the Mentally Ill. After the participant completed a short on-line survey to determine eligibility, qualified participants were invited to complete a structured interview about medication use, perceived pill characteristics, and medication preferences. A group of 14 telephone interviewers were rigorously trained to complete the survey according to nationally recognized marketing research standards. Prior to beginning the telephone interview, all participants were re-screened to ensure that they met the following eligibility criteria: ≥18 years old; took or have taken VP in the past 6 months; currently take or have taken VP for at least 2 months; took or have taken 500 mg VP tablet; have no member of the immediate household employed by or under contract for any pharmaceutical manufacturer (Figure 1). Informed consent was obtained through an online form. Respondents received an honorarium of US$35 to US$75 as a participation incentive (to enhance recruiting, the offered honorarium increased over time).
Figure 1

Participant screening process (initial sample size = 579).

Note: From the initial pool of 579 patients, 20 patients entered the survey but did not answer any questions, hence were excluded from the study.

The survey contained 36 questions and took an average of 15 minutes to complete. The questionnaire was comprised of demographic questions, questions about perceived medication characteristics, medication use patterns, and preferences for medication characteristics (size, shape, and perceived ease of swallowing). In the univariate analyses of variance, chi-square and t-tests were used for categorical and continuous variables respectively. Multivariate logistic regression analyses were conducted to determine significant predictors of treatment preference. Variables that were statistically significant in the univariate analyses were included in the multivariate model. The dependent variable in multivariate analyses was ‘Prefer Product X’ (‘yes’ or ‘no’).

Results

Of 579 persons who initially responded, 400 were eligible to complete the telephone survey (Figure 1). More than half (56%) of survey respondents were between 35 and 54 years old with only 6% being younger than 24 years old and only 1.2% being older than 65 years. Nearly two-thirds of respondents reported having
Table 1

Respondent characteristics (N = 400)

CharacteristicsOverall (N = 400)Current VP users (N = 236)Previous VP users (N = 164)
Age group
  18–24 years24 (6.0%)14 (5.9%)10 (6.1%)
  25–34 years84 (21.0%)53 (22.5%)31 (18.9%)
  35–44 years113 (28.3%)64 (27.1%)49 (29.9%)
  45–54 years111 (27.7%)61 (25.8%)50 (30.5%)
  55–64 years63 (15.7%)39 (16.6%)24 (14.6%)
  65 and Above5 (1.3%)5 (2.1%)
Sex
  Male118 (29.5%)92 (38.9%)26 (15.8%)
  Female282 (70.5%)144 (61.1%)138 (84.2%)
Marital status
  Never married121 (30.2%)74 (31.4%)47 (28.6%)
  Married174 (43.5%)104 (44.1%)70 (42.7%)
  Divorced95 (23.8%)49 (20.7%)46 (28.1%)
  Widowed9 (2.2%)8 (3.4%)1 (0.6%)
  Prefer not to answer1 (0.3%)1 (0.4%)
Annual household incomea
  Less than $15,00078 (19.5%)45 (19.1%)33 (20.1%)
  $15,000–$29,99993 (23.2%)44 (18.6%)49 (30.0%)
  $30,000–$49,99977 (19.2%)49 (20.8%)28 (17.1%)
  $50,000–$69,99959 (14.8%)34 (14.4%)25 (15.2%)
  $70,000–$99,99946 (11.5%)34 (14.4%)12 (7.3%)
  $100,000 or more36 (9.0%)23 (9.8%)13 (7.9%)
  Don’t know/Prefer not to answer11 (2.8%)7 (2.9%)4 (2.4%)
Education
  Some high school10 (2.5%)6 (2.5%)4 (2.4%)
  High school degree or GED62 (15.5%)39 (16.6%)23 (14.0%)
  Some college148 (37.0%)78 (33.1%)70 (42.7%)
  2- or 4-year college degree121 (30.3%)69 (29.2%)52 (31.7%)
  Postgraduate work58 (14.4%)43 (18.2%)15 (9.2%)
  Prefer not to answer1 (0.3%)1 (0.4%)
Prescription insurance coverage
  Pay 100% out of pocket28 (7.0%)9 (3.8%)19 (11.6%)
  Have insurance but pay significant costs out of pocket51 (12.7%)32 (13. 6%)19 (11.6%)
  Have insurance that pays all/most of costs178 (44.5%)113 (47.9%)65 (39.6%)
  Have Medicare/Medicaid142 (35.5%)81 (34.3%)61 (37.2%)
  Other/don’t know1 (0.3%)1 (0.4%)

US$

Abbreviation: GED, General Educational Development.

The majority of respondents were prescribed VP to control bipolar disorder (n = 260, 65.0%). The remaining participants took VP primarily to prevent migraine headache (12.5%, n = 50), control epilepsy (11.8%, n = 47), or ‘other conditions’ (10.8%, n = 43). Respondents reported taking more than one VP tablet daily [mean (SD) = 2.5 (1.2) and 88.0% reported taking multiple other prescription medications daily [mean (SD) = 5.2 (3.6)] (Table 2).
Table 2

Valproate (VP) utilization patterns

UtilizationOverall (n = 400)Current VP users (n = 236)Previous VP users (n = 164)
Primary reasons for taking VP
  Epilepsy47 (11.7%)29 (12.3%)18 (10.9%)
  Bipolar disorder260 (65.0%)151 (63.9%)109 (66.5%)
  Migraines50 (12.5%)32 (13.6%)18 (11.0%)
  Other43 (10.8%)24 (10.2%)19 (11.6%)
Type of VP (currently using or ever used)
  Tablet form, several times per day243 (60.8%)133 (56.4%)110 (67.1%)
  Tablet form, once daily266 (66.6%)178 (75.4%)88 (53.7%)
Total milligrams of VP per day
  Mean (SD)1176.38 (594.59)1201.06 (574.36)1140.85 (622.61)
   [Median][1000.00][1000.00][1000.00]
Number of VP tablets per day
  Mean (SD)2.46 (1.23)2.53 (1.19)2.37 (1.27)
   [Median][2.00][2.00][2.00]
Times per day taking VP
  Mean (SD)1.60 (0.70)1.50 (0.67)1.73 (0.73)
   [Median][1.00][1.00][2.00]
Concurrent use of other prescription medications
  Yes352 (88.0%)215 (91.1%)137 (83.5%)
  No48 (12.0%)21 (8.9%)27 (16.5%)
Total number of medications (including VP) daily
  Mean (SD)5.24 (3.63)5.58 (3.68)4.71 (3.51)
   [Median][4.00][4.00][4.00]
Use of another medication for condition prior to VP
  Yes266 (66.5%)153 (64.8%)113 (68.9%)
  No134 (33.5%)83 (35.2%)51 (31.1%)
Nearly half of the respondents discontinued taking VP as a result of the side effects they experienced (48.5%, n = 80), primarily weight gain (24.8%). In addition, slightly more than a third said that they stopped because it did not reduce their symptoms (35.2%, n = 58) (Figure 2). The majority of respondents reported their VP tablet was ‘uncomfortable to swallow’ (68.5%, n = 274) and were ‘very interested’ (65.8%, n =263) or ‘somewhat interested’ (18.0%, n = 72) in taking a soft gel medication that appeared to be easier to swallow. When presented conceptually with a choice between taking their current VP tablet once daily and taking a smaller, soft gel capsule (‘Product X’) with equivalent safety and effectiveness twice daily, the majority (82.8%, n = 331) preferred the soft gel capsule medication. An even larger majority of respondents (85.3%, n = 341) indicated preferring the soft gel medication when asked, ‘If both medications were available when you first began taking VP, which would you have preferred?’ (Table 3)
Figure 2

Reasons for discontinuing valproate (VP) (n = 164, multiple responses were accepted; only top responses are shown).

Table 3

Respondent perceptions and treatment preference

Overall (n =400)Current VP users (n = 236)Previous VP users (n = 164)
Uncomfortable to swallow VP
  Yes274 (68.5%)162 (69.6%)112 (68.3%)
  No126 (31.5%)74 (31.4%)52 (31.7%)
Interest in taking a tablet that is easier to swallow
  Very interested263 (65.8%)164 (69.5%)99 (60.4%)
  Somewhat interested72 (18.0%)41 (17.4%)31 (18.9%)
  Neither interested nor uninterested45 (11.2%)22 (9.3%)23 (14.0%)
  Somewhat uninterested6 (1.5%)2 (0.9%)4 (2.4%)
  Very uninterested14 (3.5%)7 (2.9%)7 (4.3%)
Appears to be easier to swallow
  VP18 (4.5%)11 (4.7%)7 (4.3%)
  Product X382 (95.5%)225 (95.3%)157 (95.7%)
Want to be made aware of Product X soft gel capsule
  Yes312 (78.0%)180 (76.3%)132 (80.5%)
  No88 (22.0%)56 (23.7%)32 (19.5%)
Prefer if these medications were equal in effectiveness and side effects
  VP69 (17.2%)40 (16.9%)29 (17.7%)
  Product X331 (82.8%)196 (83.1%)135 (82.3%)
Prefer if these medication were equal in effectiveness and side effects, and comparable in costs
  VP63 (15.87%)38 (16.1%)25 (15.2%)
  Product X337 (84.3%)198 (83.9%)139 (84.8%)
Treatment preferencea
  VP59 (14.7%)36 (15.2%)23 (14.0%)
  Product X341 (85.3%)200 (84.8%)141 (86.0%)

Treatment preference was assessed using the following question: ‘If both these medications were available when you first started taking VP, which would you have preferred your doctor to prescribe?’

Univariate analysis of variance revealed that respondents preferring the soft gel capsule took VP tablets more times per day (P = 0.05) and were significantly more likely to: perceive that soft gel capsules were easier to swallow (P < 0.001); be female (P = 0.02); be married (P = 0.0001); and have a college degree (P = 0.006) than those preferring VP tablets. (Table 4) In the multivariate regression analysis, perceiving soft gel capsules as being easier to swallow (P < 0.001), taking VP more times per day (P = 0.02), and being currently married (P = 0.02) were significant predictors of soft gel capsule treatment preference (Table 5).
Table 4

Treatment preference (univariate analyses)

VariablesTreatment preference [N (%)]
P-value
VP (N = 59)Product X (N = 341)
VP Users
  Current36 (61.1%)200 (58.6%)0.73
  Previous23 (38.9%)141(41.4%)
Primary reasons for taking VP
  Epilepsy7 (11.9%)40 (11.7%)0.99
  Bipolar disorder39 (66.1%)221 (64.8%)
  Migraines7 (11.9%)43 (12.6%)
  Other6 (10.1%)37 (10.9%)
Type of VP used
  VP immediate release16 (27.1%)118 (34.6%)0.14
  VP extended release30 (50.9%)127 (37.2%)
  Both13 (22.0%)96 (28.2%)
Total milligrams of VP per day
  Mean (SD)1222.46 (681.92)1168.40 (578.90)0.52
   [Median][1000.00][1000.00]
Number of VP tablets per day
  Mean (SD)2.53 (1.35)2.45 (1.21)0.66
   [Median][2.00][2.00]
Times per day taking VP
  Mean (SD)1.44 (0.68)1.62 (0.70)0.05
   [Median][1.00][1.00]
Concurrent use of other prescription medications
  Yes54 (91.5%)298 (87.4%)0.37
  No5 (8.5%)43 (12.6%)
Used another medication for condition prior to VP
  Yes39 (66.1%)227 (66.6%)0.94
  No20 (33.9%)114 (33.4%)
Appears to be easier to swallow
  VP16 (27.1%)2 (0.6%)<0.001
  Product X43 (72.9%)339 (99.4%)
Age group
  18–24 years3 (5.1%)21 (6.2%)0.92
  25–34 years12 (20.3%)72 (21.1%)
  35–44 years18 (30.5%)95 (27.9%)
  45–54 years18 (30.5%)93 (27.3%)
  55–64 years6 (10.2%)57 (16.6%)
  ≥65 years2 (3.4%)3 (0.9%)
Sex
  Male25 (42.4%)93 (27.3%)0.02
  Female34 (57.6%)248 (72.7%)
Marital status
  Married18 (30.5%)156 (45.8%)0.0001
  Not married30 (50.9%)91 (26.7%)
  Divorced/Widowed10 (16.9%)94 (27.5%)
  Prefer not to answer1 (1.7%)0 (0.0%)
Annual household incomea
  <$30,00027 (45.8%)144 (42.2%)0.34
  $30,000–$49,99914 (23.7%)63 (18.5%)
  $50,000–$69,9995 (8.5%)54 (15.8%)
  ≥$70,00010 (16.9%)72 (21.1%)
  Don’t know/Prefer not to answer3 (5.1%)8 (2.4%)
Education
  Some high school3 (5.1%)7 (2.1%)0.006
  High school degree or GED8 (13. 6%)54 (15.8%)
  2- or 4-year college degree9 (15.2%)112 (32.8%)
  Postgraduate work13 (22.0%)45 (13.2%)
  Don’t know/Prefer not to answer1 (1.7%)0 (0.0%)
Prescription insurance coverage
  Pay 100% out of pocket3 (5.1%)25 (7.4%)0.12
  Have insurance but pay significant costs out of pocket5 (8.5%)46 (13.5%)
  Have insurance that pays all/most of costs21 (35.6%)157 (46.0%)
  Have Medicare/Medicaid30 (50.8%)112 (32.8%)
  Other/Don’t know0 (0.0%)1 (0.3%)

Notes: P values in bold indicate significant at P < 0.05.

Us$.

Abbreviation: GED, General Educational Development.

Table 5

Predictors of treatment preference (multivariate analysis)

Variablesβ estimateStandard errorP-valueOdds ratio95% CI
Lower CIHigher CI
Times per day taking VP0.700.300.022.021.133.61
Appears to be easier to swallow
  Product X4.290.81<0.00173.5415.01360.40
  VP1.00
Sex
  Female0.630.350.071.870.943.73
  Male1.00
Marital status
  Married0.940.390.022.561.195.47
  Divorced/Widowed0.680.440.111.980.844.66
  Never Married1.00
Education
  High school degree or GED0.591.120.591.810.2016.08
  Some college–0.181.030.860.830.116.28
  2- or 4-year college degree0.681.070.531.980.2416.29
  Postgraduate work–0.331.060.760.720.095.76
  Some high school1.00

Abbreviations: CI, confidenceinterval; GED, General Educational Development.

Respondents preferring the soft gel capsule to the tablet formulation did not differ by age, annual household income, or prescription insurance coverage (Table 4). Those preferring soft gel capsules to tablets also did not differ by primary reason for taking VP, total mgs of VP taken per day, number of VP tablets taken per day, concurrent use of other prescription medications, or whether they had treated the primary condition with another medication prior to taking VP (Table 4). The respondents (n = 59) who preferred the VP tablet even if both medications had been available when they were initially prescribed VP, were asked to give specific reasons for this preference. The most common reason given was preference for a once daily dose (34.5%), followed by feeling that it ‘works well’ (27.6%), preferring a ‘name brand’ (8.6%), ‘don’t care’ (6.9%), ‘physician’s choice’ (6.9%), ‘don’t like gelcaps’ (6.9%), and ‘side effects’ (5.2%) (Figure 3).
Figure 3

Reasons for valproate (VP) tablet preference (n = 59).

The respondents (n = 341) who indicated preferring the soft gel capsule (had it been available when they were initially prescribed VP) were also asked to give specific reasons for this preference. The most common reason given was preference for a ‘smaller pill’ (61.2%), preferring an oral form that was ‘easier to swallow’ (55.1%), preferring a ‘soft gel’ (28.9%), feeling that it was ‘faster acting’ (8.8%), feeling that it would be ‘easier to digest’ (7.1%), and feeling that it would be ‘easier to store’ (5.3%) (Figure 4).
Figure 4

Reasons for Product X (soft gel) preference (n = 341).

Discussion

Despite the fact that tablet-related characteristics, such as difficulties in swallowing tablets due to size and shape, seem to be a well-known problem among patients (negatively affecting their treatment acceptance and preference), few studies have addressed this issue. The finding from this survey-based study indicated that the majority of patients currently or previously treated with VP tablets reported difficulty swallowing them, is of interest due to its potential usefulness in improving clinical practice and patient outcomes. Results indicate that these patients are interested in knowing about medication with similar safety and efficacy that is formulated as a smaller, soft gel capsule. Given a choice between treatment with VP tablets or smaller, soft gel capsules with similar efficacy and safety, those who perceived the soft gel capsules to be easier to swallow would prefer treatment with that medication despite having to take it twice daily. Many patients fail to voluntarily express important treatment preferences or barriers to adherence, such as difficulty swallowing medication during the clinical encounter. Data indicate that less than a quarter of people who have difficulty swallowing their pills discuss the problem with a health professional.33 The first nationally representative survey of pill-swallowing difficulty finds that only 14% of people who have difficulty taking oral medications indicate that their health provider has brought up the topic, and only 10% report initiating conversation about this difficulty themselves.33 While there are likely to be many contributing factors to this reluctance, it has been attributed to patients’ perceptions that physicians are focused on ‘treating numbers’ – a result of the increased emphasis on guideline-driven prescribing practices.34,35 It is well documented that patient non-adherence to medication is a substantial barrier to the effective treatment of bipolar disorder, epilepsy, and migraine prophylaxis. However, data indicate that prescribing clinicians underestimate the extent of this problem.22 One study of medication adherence in bipolar patients (N = 429) found that although 57% reported missing all or some medication doses in the past 10 days, prescribing psychiatrists considered only 6% of these patients to be ‘treatment non-adherent’.22, There is a similar tendency to overestimate patient adherence with therapy among physicians prescribing for epilepsy treatment36 and migraine prophylaxis. Thus, for these disorders, medication non-adherence could be a larger problem, making it critical to recognize the problems faced by the patients while taking medications, barriers to treatment acceptance, and factors affecting patient preference. A supportive therapeutic alliance between patients and clinicians is known to improve patient adherence with treatment in the psychiatric and neurological disorders addressed here.14,18,24–26,37–41 An important opportunity exists for physicians to build the therapeutic alliance and potentially improve treatment adherence by engaging the patient in shared decision making regarding prescription medications.23,25,41,42 Studies of other medications further support the link between medication characteristics and adherence, finding that changes in oral medication formulation affect patient adherence to prescribed therapy.32 By engaging the patient in prescribing decisions and discussing factors that may improve adherence, providers can optimize therapy to produce more effective management and greater improvements in the patient’s condition.29 The current study has several limitations. The US$35 to US$75 participation incentive that respondents received may have had effects on the results, though since it was not a focus of the study, the reasons cannot be explained. Similarly, additional analysis of marriage status, a statistically significant predictor of treatment preference, was not within the scope of the study. Most importantly, respondent demographics are not representative, thus, the results can not be generalized to other populations. It is likely that reliance on the internet for initial patient recruitment accounts for the non-representative characteristics of our respondents including high proportions of young and middle-aged persons who were college educated and had health insurance coverage for prescription medications. Time since VP cessation was not evaluated. It is possible that participants who stopped taking VP 6 months ago may have answered questions differently had they been asked nearer to when they took it.

Conclusions

The goal of any treatment is to offer an approach which eliminates or reduces the number and frequency of symptoms and produces the best possible quality-of-life while avoiding drug interactions and side effects. Given the significant impact of therapeutic adherence on clinical outcomes and health-related costs, providers must recognize the facts that patients make the ultimate treatment decision (that is to take medication as prescribed or not) and that patient satisfaction with a medication strongly affects that decision.29,30 In this study, users of VP indicated that they would prefer a formulation that is easier to swallow, even if it needed to be taken twice per day. This study provides preliminary data upon which further investigation should be based. Additional research is needed to clarify issues of patient medication preferences and to better quantify the impact of oral formulations that are easy to swallow and smaller in size on patient adherence with therapy.
  40 in total

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Authors:  Jan Scott; Marie Pope
Journal:  J Clin Psychiatry       Date:  2002-05       Impact factor: 4.384

2.  Demographics and cost of epilepsy. Based on a presentation by John F. Annegers, PhD.

Authors: 
Journal:  Am J Manag Care       Date:  1998-09       Impact factor: 2.229

3.  The effect of medication adherence on health care utilization in bipolar disorder.

Authors:  Kim H Lew; Eunice Y Chang; Krithika Rajagopalan; Russell L Knoth
Journal:  Manag Care Interface       Date:  2006-09

4.  Patterns of diagnosis and acute and preventive treatment for migraine in the United States: results from the American Migraine Prevalence and Prevention study.

Authors:  Seymour Diamond; Marcelo E Bigal; Stephen Silberstein; Elizabeth Loder; Michael Reed; Richard B Lipton
Journal:  Headache       Date:  2007-03       Impact factor: 5.887

5.  The lifetime cost of bipolar disorder in the US: an estimate for new cases in 1998.

Authors:  C E Begley; J F Annegers; A C Swann; C Lewis; S Coan; W B Schnapp; L Bryant-Comstock
Journal:  Pharmacoeconomics       Date:  2001       Impact factor: 4.981

6.  Shared decision-making in primary care: the neglected second half of the consultation.

Authors:  G Elwyn; A Edwards; P Kinnersley
Journal:  Br J Gen Pract       Date:  1999-06       Impact factor: 5.386

Review 7.  Re-evaluating the prevalence of and diagnostic composition within the broad clinical spectrum of bipolar disorders.

Authors:  H S Akiskal; M L Bourgeois; J Angst; R Post; H Möller; R Hirschfeld
Journal:  J Affect Disord       Date:  2000-09       Impact factor: 4.839

8.  Assessment of satisfaction with treatment for chronic pain.

Authors:  L M McCracken; P A Klock; D J Mingay; J K Asbury; D M Sinclair
Journal:  J Pain Symptom Manage       Date:  1997-11       Impact factor: 3.612

9.  Factors that affect adherence to bipolar disorder treatments: a stated-preference approach.

Authors:  F Reed Johnson; Semra Ozdemir; Ranjani Manjunath; A Brett Hauber; Steven P Burch; Thomas R Thompson
Journal:  Med Care       Date:  2007-06       Impact factor: 2.983

10.  An economic evaluation of manic-depressive illness--1991.

Authors:  R J Wyatt; I Henter
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  1995-08       Impact factor: 4.328

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3.  A Pharmacokinetic Bioequivalence Study Comparing Different-Strength and -Size Capsules of Isavuconazonium Sulfate in Healthy Japanese Subjects.

Authors:  Shinichiro Shirae; Yoko Mori; Tomohito Kozaki; Atsushi Ose; Setsuo Hasegawa
Journal:  Clin Pharmacol Drug Dev       Date:  2022-04-11

4.  Regularity of self-reported daily dosage of mood stabilizers and antipsychotics in patients with bipolar disorder.

Authors:  Maximilian Pilhatsch; Tasha Glenn; Natalie Rasgon; Martin Alda; Kemal Sagduyu; Paul Grof; Rodrigo Munoz; Wendy Marsh; Scott Monteith; Emanuel Severus; Rita Bauer; Philipp Ritter; Peter C Whybrow; Michael Bauer
Journal:  Int J Bipolar Disord       Date:  2018-05-01
  4 in total

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