The epilepsy medication and treatment complexity index: reliability and validity testing

Evaluation of potentially inappropriate medications use and medication complexity in elderly patients applying to community pharmacy in Turkey

BACKGROUND

Older adults often use multiple medicines to manage comorbidities well or to prevent associated complications. This study aims to determine polypharmacy, the use of potentially inappropriate medications (PIMs) using the 2019 Beers Criteria and to determine the Medication Regimen Complexity Index (MRCI) score. It also aims to identify factors associated with the presence of PIMs and the MRCI score.

METHODS

This cross-sectional study was carried out between 6 and 2023 and 5 May 2023 in a community pharmacy in Turkey. Elderly patients over 65 years of age, who used at least one drug, and who came to the pharmacy for any reason were included in the study. PIMs were determined according to the 2019 Beers Criteria. The Turkish validated version of the MRCI was used to determine the medication complexity score.

RESULTS

200 patients were included in this study. 59.5% of the patients were female and the median age was 70 (IQR, 66-74.75). Polypharmacy was detected in 33% of patients. The use of PIMs was determined in 63.5% of the patients. The median of the MRCI score was 11 (IQR, 7-15). The number of chronic diseases and drugs, presence of polypharmacy, MRCI score and mental disorders were found to be significantly higher in those with PIMs than in those without (p < 0.05). Having less than eight years of education, presence of polypharmacy, the presence of comorbidity (diabetes mellitus, cardiovascular disease, thyroid, chronic obstructive pulmonary disease (COPD), asthma and mental disorders) were associated with significantly higher MRCI scores (p < 0.05).

CONCLUSIONS

According to the results of our study, it was found that the elderly patients who came to the pharmacy had low MRCI scores, but had high PIMs use. Community pharmacists have an important role in identifying inappropriate drug use, so they should be trained to develop skills in identifying and reducing PIMs in older patients.

Prevalence of anti-seizure medication nonadherence and its associated factors, among people with epilepsy in North Shewa, Ethiopia, 2021

BACKGROUND

Epilepsy is a worldwide neurologic illness, characterized by recurrent unprovoked epileptic seizures and can affect people of all age groups. Patients who are receiving drug therapy for chronic diseases, such as epilepsy, must fit complex medication regimens into their everyday routines. Managing medication schedules may pose a significant burden on patients' lives. Anti-seizure medication choices should therefore be tailored to patients' factors that may limit medication use. The study aimed to determine the prevalence and Predictors of anti-seizure medication nonadherence among patients with epilepsy.

METHODOLOGY

An institutional-based cross-sectional study was conducted among 352 people with epilepsy who were selected by systematic random sampling method at government hospitals in North Shewa Ethiopia. Data were collected by reviewing patients' charts and interviewing people with epilepsy by using structured and pretested questionnaires. Data obtained were encoded into EPI-INFO software and exported to SPSS version 25 for analysis. Logistic regression was employed to assess independent factors associated with medication non-adherence.

RESULT

The prevalence of anti-seizure medication non-adherence was 40%. Being female [AOR = 3.37, 95%, CI: 1.84, 6.18], Divorced [AOR = 9.13, 95%, CI: 1.80, 46.34], Being jobless [AOR = 7.33, 95%, CI: 3.24, 16.56], Perceived poor social support [AOR = 2.73, 95%, CI: 1.28, 5.82], perceived stigma [AOR = 5.07, 95%, CI: 2.40, 10.68], polytherapy [AOR = 2.23, 95%, CI: 1.06, 4.71], drug side effects[AOR = 6.03, 95%, CI: 3.17, 11.45], buying medications [AOR = 5.81, 95%, CI: 3.63,16.79] and duration of stay on treatment [AOR = 4.31, 95%, CI: 1.863, 9.97] were significant predictors of anti-seizure medication non-adherence.

CONCLUSION

Non-adherence to anti-seizure medication among people with epilepsy in the study area was relatively higher as compared with study reports from different parts of the country. Health and clinical, socio-economy, and patients' psychological mindset were among the determinant factors affecting the consistency of epilepsy treatment adherence. Enhanced professional, health education for patients as well as for society and financial support, are basic pillars to reduce the constraints of effective treatment.

Medication self-management among parents of children with epilepsy at a tertiary care center in Malaysia

PURPOSE

Self-management is crucial in the management of chronic diseases. However, information is limited on medication self-management among parents of children with epilepsy. This study aimed to assess medication self-management among parents of children with epilepsy and its association with sociodemographic data, clinical characteristics, antiepileptic drug (AED) regimen complexity, and parent self-reported AED adherence.

METHOD

A cross-sectional survey was conducted at a tertiary care center in Malaysia from February 2019 to June 2019. Parents of children with epilepsy who were on AED for at least 3 months and aged ≤18 years old were recruited. Medication self-management was assessed using a validated Pediatric Epilepsy Medication Self-Management Questionnaire (PEMSQ). A higher total score reflects better medication self-management.

RESULTS

A total of 166 patients were recruited. The mean ± standard deviation (SD) age of patients was 8.20 ± 5.21 years, and 51.8% and 36.7% of patients have generalized seizure and focal seizure, respectively. The mean ± SD PEMSQ score was 116.2 ± 11.28 from a total score of 135. Among the four domains of PEMSQ, the barriers to treatment contributed to the lowest mean scores. Univariate analysis showed that the following were significantly associated with poorer medication self-management: differences in ethnicity, religion; higher number of medications; presence of comorbidities; inability to swallow tablets; and a more complex AED regimen. Other variables were not significant. Multivariate analysis showed that only ethnicity and presence of comorbidity remained independently significant (R² = 0.14; F [4, 161] = 6.28; p < 0.001). Poorer medication self-management was observed in the Malaysian Chinese population than in the Malaysian Malay population (b = -8.52; p < 0.001) and in children with comorbidities than in those without comorbidities (b = -5.04, p = 0.01).

CONCLUSION

The overall medication self-management was satisfactory. Barriers to treatment should be addressed to empower parents to achieve better medication self-management. Furthermore, medication self-management should be reinforced among Malaysian Chinese patients and children with comorbidities.

Are Clinical Outcomes Associated With Medication Regimen Complexity? A Systematic Review and Meta-analysis

Background: Current evidence of the influence of the medication regimen complexity (MRC) on the patients’ clinical outcomes are not conclusive. Objective: To systematically and analytically assess the association between MRC measured by the Medication Regimen Complexity Index (MRCI) and clinical outcomes. Methods: A search was carried out in the databases Cochrane Library, LILACS, PubMed, Scopus, EMBASE, Open Thesis, and Web of Science to identify studies evaluating the association between MRC and clinical outcomes that were published from January 1, 2004, to April 2, 2018. The search terms included outcome assessment, drug therapy, and medication regimen complexity index and their synonyms in different combinations for case-control and cohort studies that used the MRCI to measure MRC and related the MRCI with clinical outcomes. Odds ratios (ORs), hazard ratios (HRs), and mean differences (WMDs) were calculated, and heterogeneity was assessed using the I2 test. Results: A total of 12 studies met the eligibility criteria. The meta-analysis showed that MRC is associated with the following clinical outcomes: hospitalization (HR = 1.20; 95% CI = 1.14 to 1.27; I2 = 0%) in cohort studies, hospital readmissions (WMD = 7.72; 95% CI = 1.19 to 14.25; I2 = 84%) in case-control studies, and medication nonadherence (adjusted OR = 1.05; 95% CI = 1.02 to 1.07; I2 = 0%) in cohort studies. Conclusion and Relevance: This systematic review and meta-analysis gathered relevant scientific evidence and quantified the combined estimates to show the association of MRC with clinical outcomes: hospitalization, hospital readmission, and medication adherence.

Medication Regimen Complexity Measured by MRCI: A Systematic Review to Identify Health Outcomes

Objective: To perform a systematic review to identify health outcomes related to medication regimen complexity as measured by the Medication Regimen Complexity Index (MRCI) instrument. Data Sources: Cochrane Library, LILACS, PubMed, Scopus, EMBASE, Open Thesis, and Web of Science were searched from January 1, 2004, until April 02, 2018, using the following search terms: outcome assessment, drug therapy, and Medication Regimen Complexity Index and their synonyms in different combinations. Study Selection and Data Extraction: Studies that used the MRCI instrument to measure medication regimen complexity and related it to clinical, humanistic, and/or economic outcomes were evaluated. Two reviewers independently carried out the analysis of the titles, abstracts, and complete texts according to the eligibility criteria, performed data extraction, and evaluated study quality. Data Synthesis: A total of 23 studies met the inclusion criteria; 18 health outcomes related to medication regimen complexity were found. The health outcomes most influenced by medication regimen complexity were hospital readmission, medication adherence, hospitalization, adverse drug events, and emergency sector visit. Only one study related medication regimen complexity with humanistic outcomes, and no study related medication regimen complexity to economic outcomes. Most of the studies were of good methodological quality. Relevance to Patient Care and Clinical Practice: Health care professionals should pay attention to medication regimen complexity of the patients because this may influence health outcomes. Conclusion: This study identified some health outcomes that may be influenced by medication regimen complexity: hospitalization, hospital readmission, and medication adherence were more prevalent, showing a significant association between MRCI increase and these health outcomes.

Association between medication regimen complexity and pharmacotherapy adherence: a systematic review

PURPOSE

The purpose of this study was to systematically review evidence regarding the association between regimen complexity and adherence.

METHODS

Articles were searched in MEDLINE, LILACS, Cochrane, CINAHL, PsycINFO and references of included studies. Search terms included medication regimen complexity, medication adherence and their synonyms. Randomized clinical trials, cross-sectional, cohort or case-control studies published until March 2016 in English, Portuguese or Spanish were eligible if quantitatively examined the association between complexity and adherence in patients of any age and sex, under any type of medication therapy. Complexity was defined according to the strategy used to assess it in the individual studies. All types of instruments used to assess complexity and adherence were considered. Data extraction was performed using an electronic spreadsheet. Quality assessment was conducted independently using standard scales. The data were qualitatively synthesized.

RESULTS

Fifty-four studies were included: 37 cross-sectional and 17 cohorts. Most were conducted in outpatient setting. Most frequently, studies were carried out with HIV-infected individuals or patients with chronic conditions. The most frequent methods used to assess complexity and adherence were complexity index (19) and self-report (27), respectively. Complexity was associated with adherence in 35 studies. Most of them (28) identified that participants with more complex regimens were less likely to adhere to pharmacotherapy; seven studies found a direct correlation. The others found inconclusive results or no association between complexity and adherence. The studies had low to moderate-methodological quality.

CONCLUSION

Although there was variability regarding the association between complexity and adherence, most studies showed that an increased regimen complexity reduces medication adherence.

Practical Considerations for the Use of Subcutaneous Treatment in the Management of Dyslipidaemia

Suboptimal drug adherence represents a major challenge to effective primary and secondary prevention of cardiovascular disease. While adherence is influenced by multiple considerations, polypharmacy and dosing frequency appear to be rate-limiting factors in patient satisfaction and subsequent adherence. The cardiovascular and metabolic therapeutic areas have recently benefited from a number of advances in drug therapy, in particular protease proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors and incretin-based therapies, respectively. These drugs are administered subcutaneously and offer efficacious treatment options with reduced dosing frequency. Whilst patients with diabetes and diabetologists are well initiated to injectable therapies, the cardiovascular therapeutic arena has traditionally been dominated by oral agents. It is therefore important to examine the practical aspects of treating patients with these new lipid-lowering agents, to ensure they are optimally deployed in everyday clinical practice.

Identifying the barriers to antiepileptic drug adherence among adults with epilepsy

PURPOSE

To identify the barriers to antiepileptic drug (AED) adherence among adults with epilepsy (AWE). The impact of AED non-adherence on quality of life (QoL) was also examined.

METHOD

Systematic design (SR) study. A search strategy was undertaken with no time limits, for articles published in English, in MEDLINE, CINANL, PsycINFO, EMBASE, Cochrane databases and grey literature sources. Eligibility criteria included participants with epilepsy over 18 years, who were prescribed AEDs. Adherence had to be defined and adherence assessment measurements identified. A screening process was undertaken to select eligible studies. Eight studies met the inclusion criteria and were included in a quantitative synthesis. Quality of evidence was conducted using the EBL critical appraisal checklist and assessing risk of bias within individual studies.

RESULTS

Across the included studies a high prevalence of non-adherence was identified. AED non-adherence was associated with specific beliefs about medications, being depressed or anxious, poor medication self-administration management, uncontrolled recent seizures, frequent medication dosage times, poor physician-patient relationship and perceived social support. Additionally, AED non-adherence impacted negatively on QoL as a result of poor seizure control.

CONCLUSION

Although included studies were of good quality, risk of biases reduced the generalisability of results. Findings suggested that comprehensive adherence assessments should routinely be performed. Recommendations for future research include the use of longitudinal research designs and a follow up SR to include the 16-18-year-old population.

Rates and predictors of adherence to psychotropic medications in children with autism spectrum disorders

Medication adherence in children is poor, particularly among those with chronic or mental health disorders. However, adherence has not been fully assessed in autism spectrum disorders (ASDs). The validated proportion of days covered method was used to quantify adherence to psychotropic medication in Medicaid-eligible children who met diagnostic criteria for ASD between 2000 and 2008 (N = 628). Among children prescribed attention deficit hyperactivity disorder (ADHD) medications, antidepressants, or antipsychotics, 44, 40 and 52 % were adherent respectively. Aggressive behaviors and abnormalities in eating, drinking, and/or sleeping, co-occurring ADHD, and the Medication Regimen Complexity Index were the most significant predictors of adherence rather than demographics or core deficits of ASD. Identifying barriers to adherence in ASD may ultimately lead to improved treatment outcomes.

Complexity perplexity: a systematic review to describe the measurement of medication regimen complexity

INTRODUCTION

Complex medication regimens are error prone and challenging for patients, which may impact medication adherence and safety. No universal method to assess the complexity of medication regimens (CMRx) exists. The authors aim to review literature for CMRx measurements to establish consistencies and, secondarily, describe CMRx impact on healthcare outcomes.

AREAS COVERED

A search of EMBASE and PubMed for studies analyzing at least two medications and complexity components, among those self-managing medications, was conducted. Out of 1204 abstracts, 38 studies were included in the final sample. The majority (74%) of studies used one of five validated CMRx scales; their components and scoring were compared.

EXPERT OPINION

Universal CMRx assessment is needed to identify and reduce complex regimens, and, thus, improve safety. The authors highlight commonalities among five scales to help build consensus. Common components (i.e., regimen factors) included dosing frequency, units per dose, and non-oral routes. Elements (e.g., twice daily) of these components (e.g., dosing frequency) and scoring varied. Patient-specific factors (e.g., dexterity, cognition) were not addressed, which is a shortcoming of current scales and a challenge for future scales. As CMRx has important outcomes, notably adherence and healthcare utilization, a standardized tool has potential for far-reaching clinical, research, and patient-safety impact.

Factors associated with treatment non-adherence in patients with epilepsy in Brazil

PURPOSE

To investigate factors associated with treatment non-adherence in Brazilian patients with epilepsy.

METHODS

Prospective cross-sectional study. We evaluated 385 epilepsy outpatients in a tertiary referral center, 18 years or older, literate, without cognitive impairment or active psychiatric disorders, who were independent in daily living activities. Data were analyzed with correlation tests and conjoint analysis using multivariate logistic regression.

RESULTS

Non-adherence rate, measured by the Morisky-Green Test, was 66.2%, a moderate-to-low adherence level. Non-adherence was higher in men, in younger patients and in patients with uncontrolled seizures. Increasing treatment complexity was also associated with decreased treatment adherence.

CONCLUSION

Strategies designed to improve treatment adherence should address peculiarities associated with younger ages and male gender. Physicians should be made aware that prescription of less complex treatment regimens may result in better treatment adherence, and, therefore, better seizure control. The challenge in adjusting AED treatment in this population is to minimize treatment complexity, thus increasing chances for treatment adherence.

Looking beyond polypharmacy: quantification of medication regimen complexity in the elderly

BACKGROUND

Polypharmacy has been shown to influence outcomes in elderly patients. However, the impact of medication regimen complexity, quantified by the Medication Regimen Complexity Index (MRCI), on health outcomes after discharge of elderly patients has not been studied.

OBJECTIVE

Our aim was to test the convergent, discriminant, and predictive validity of the MRCI in older hospitalized patients with varying functional and cognitive levels.

METHODS

We retrospectively applied the MRCI to the medication regimen of 212 hospitalized patients and assessed its validity.

RESULTS

The mean (SD) MRCI scores for medication regimens and number of medications at discharge were 30.27 (13.95) and 5.95 (2.40), respectively. The MRCI scores were strongly correlated with the number of medications (r=0.94, P<0.001) and the number of daily doses (r=0.87, P<0.001) and increased as the number of medications taken ≥3 times daily increased (27.35, 34.45, and 43.00 for none, 1, and 2 drugs, respectively; P<0.001). Positive correlations were observed between the Cumulative Illness Rating Scale-Geriatrics score and both the number of medications and the MRCI score (r=0.40, r=0.46, P<0.001, respectively). No relationship was found between MRCI scores and the number of medications and age, sex, and postdischarge medication modifications. Patients nonadherent to at least 1 drug were discharged with a higher MRCI score and higher number of medications compared with medication-compliant patients (33.3 and 7.0 vs 27 and 5.8, respectively; P<0.01). An inverse correlation was found between overall adherence 1 month after discharge and the MRCI score (r=-0.188, P= 0.028); however, no such correlation was found regarding the number of medications at discharge.

CONCLUSIONS

The MRCI showed satisfactory validity and good evidence of classifying regimen complexity over a simple medication count. The MRCI demonstrated application in clinical research and practice in the elderly. However, more studies are needed to investigate its advantage over the number of medications for identifying patients with complex medication regimens and directing interventions to simplify their medication regimen complexity.

Development and psychometric evaluation of the German version of the Medication Regimen Complexity Index (MRCI-D)

BACKGROUND

Several factors contribute to the complexity of pharmacotherapeutic regimens, like the total number of medications to be taken, the number of dosage units to take at a time, dosage frequency, as well as specific directions concerning the administration. The Medication Regimen Complexity Index (MRCI) is a validated instrument developed in English for the measurement of the complexity of a given pharmacotherapeutic regimen.

OBJECTIVES

Translation of the MRCI into German and evaluation of the translated instrument (MRCI-D) in order to make it more easily accessible for use in German practice and research.

METHODS

The process of validation included the translation of the English version to German, back-translation into English, comparison of the back-translated and the original versions, pre-tests, and pilot-testing of the German version by three raters using 20 medication regimens for inpatients. The subsequent psychometric evaluation included the calculation of inter-rater and test-retest reliability, as well as the assessment of convergent validity.

RESULTS

The number of medications correlated highly and statistically significantly with the MRCI-D score (0.91, P < 0.001), indicating sufficient convergent validity of the instrument. Both inter-rater and test-retest reliability were very high (intraclass correlation coefficients above 0.80 in all cases).

CONCLUSION

Our results demonstrate that the German version of the MRCI reflects the complexity of therapeutic regimens with similar validity and reliability as the established English version. Thus, it may be a valuable tool to analyse therapeutic regimens in both clinical practice and science.

Pharmacist counseling to cardiac patients in Israel prior to discharge from hospital contribute to increasing patient's medication adherence closing gaps and improving outcomes

BACKGROUND

Medication non adherence is a global epidemic perplexing phenomenon that is eminent, but not insurmountable. Our first objective was to explore whether providing pharmacist's counseling to cardiac patients prior to discharge can increase patient's medication adherence, and our second objective was to assess whether better medication adherence leads to reduction of hospital readmissions.

METHODS

Observational study was conducted among diagnosed cardiac patients using an intervention strategy at discharge from two hospitals in Israel; The Nazareth and the Haemek hospital. 74 patients were recruited between January 2010 and January 2011. Two separate groups were selected; intervention group: 33 patients who prior to discharge received nurse, pharmacist interventions, and control group: 41 patients who had received the nurse and hospital discharge counseling only.

RESULTS

Regression analysis for examining the first objective reflected significant effect when having a pharmacist interventions, which explains the increasing 11.6% of the variance in medication adherence, [F change (1,73) = 9.43, p < 0.003]. Stepwise regression analysis for examining the second objective demonstrated that the relation between medication adherence and readmissions was insignificant [F (1,73) = 9.43, n.s].

CONCLUSIONS

While physicians and nurses can have an impact on improving adherence, pharmacists have demonstrated the ability to inform, problem-solve and provide performance support directly to patients.

Validity and reliability of the Portuguese version of the Epilepsy Medication Treatment Complexity Index for Brazil

We evaluated the reliability and validity of a Brazilian-Portuguese version of the Epilepsy Medication Treatment Complexity Index (EMTCI). Interrater reliability was evaluated with the intraclass correlation coefficient (ICC), and validity was evaluated by correlation of mean EMTCI scores with the following variables: number of antiepileptic drugs (AEDs), seizure control, patients' perception of seizure control, and adherence to the therapeutic regimen as measured with the Morisky scale. We studied patients with epilepsy followed in a tertiary university-based hospital outpatient clinic setting, aged 18 years or older, independent in daily living activities, and without cognitive impairment or active psychiatric disease. ICCs ranged from 0.721 to 0.999. Mean EMTCI scores were significantly correlated with the variables assessed. Higher EMTCI scores were associated with an increasing number of AEDs, uncontrolled seizures, patients' perception of lack of seizure control, and poorer adherence to the therapeutic regimen. The results indicate that the Brazilian-Portuguese EMTCI is reliable and valid to be applied clinically in the country. The Brazilian-Portuguese EMTCI version may be a useful tool in developing strategies to minimize treatment complexity, possibly improving seizure control and quality of life in people with epilepsy in our milieu.

Difficult to swallow: patient preferences for alternative valproate pharmaceutical formulations

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.

Best clinical and research practice in epilepsy of older people: Focus on antiepileptic drug adherence

Few studies have examined the issues that are specific to the older person with epilepsy, a population of increasing prominence in epilepsy management. Our understanding of the impact of epilepsy in the older person is based predominantly on what is inferred from studies of younger adults. Consequently, there is relatively little documented about the impact of epilepsy on the everyday lives of older people. In this article, we focus on adherence and its consequences for the physical, social, and psychological well-being of the older person. A number of strategies are proposed to improve adherence, including patient education through better communication between physician and patient; simplification of the medical regime; and use of extended-release formulations. This issue highlights that to ameliorate the impact of epilepsy for the older person with epilepsy, a greater understanding is required so that appropriate interventions can be tailored.

Experiences of persons with epilepsy and their families as they look for medical and community care: a focus group study from South Carolina

Epilepsy affects a larger number of individuals than previously thought-up to 2% of the population-and its effects reach further. Yet epilepsy, with its associated lingering stigma and fear, has remained in the background in terms of services and research. Traditional quantitative research often falls short when trying to describe the impact of epilepsy on the lives of individuals and their families. In the present study, focus groups were held throughout South Carolina to discuss individuals' experiences with accessing epilepsy-related services and health care, and what life with epilepsy is like. Following qualitative data analysis, findings included two themes. One theme focuses on the ongoing search for services and help. The second theme concerns the experiences of living life with epilepsy. Also highlighted are recommendations for potential improvements in public awareness and professional training, and helpful interventions.

Initial testing of the Antiretroviral Medication Complexity Index

This article describes the initial development and testing of the Antiretroviral Medication Complexity Index (AMCI), an instrument to measure complexity of antiretroviral medications and regimens. Data were derived from a pilot study and the main study of an intervention designed to promote adherence to antiretroviral medications. Interrater reliability coefficients ranged from .74 to 1.0 for project staff and from .33 to 1.0 for nurse clinicians. Test-retest coefficients ranged from .297 to .988 for forms completed by the same interviewer and from .200 to .922 for different interviewers. Strong relationships existed between rankings of the medications by clinical judgment and rankings of the medications using the AMCI, providing support for criterion validity. Complexity as measured by the AMCI was associated with some measures of adherence, providing partial support for construct validity. Results provide evidence for the reliability and validity of the AMCI when used for research purposes.

The complexity of treatments for persons with epilepsy

The purpose of this study was to describe the types of antiepileptic medication regimens and the types of actions required to take medications for a group of patients with epilepsy. The Epilepsy Medication and Treatment Complexity Index (EMTCI) was used to gather information about medications and treatments. The sample of 314 reported on 585 epilepsy medications. The majority (56%) were on more than one treatment. On average, an individual took 1.86 medications per day (range, 1-6) and 7.98 pills per day (range, 1-36 pills). Most medications (54%) were taken twice a day. The most common special instruction was taking different doses on the same day. Taking more than one tablet per dose was the most common administrative action. Data presented here raise interesting areas for further research as well as important clinical implications.

Development and validation of the medication regimen complexity index

BACKGROUND

Medication regimen attributes, such as the number of drugs, dosage frequency, administration instructions, and the prescribed dosage forms, have been shown to influence patient outcomes. No single tool for quantifying the complexity of general medication regimens has been published in the medical literature.

OBJECTIVE

To develop and validate a tool to quantify the complexity of prescribed medication regimens.

METHODS

Literature findings and the expertise of the authors were used for developing the tool. Eight pharmacy researchers helped in establishing the tool's face and content validity. The new tool was tested on 134 medication regimens from patients with moderate to severe chronic obstructive pulmonary disease. Six regimens with a spread of scores on the tool were presented to a 5-member expert panel that subjectively ranked these regimens to confirm the tool's criterion-related validity. The relationships between scores on the tool and various independent variables were tested to judge the tool's construct validity. Two raters scored 25 regimens using the tool to test its inter-rater and test-retest reliabilities.

RESULTS

A 65-item Medication Regimen Complexity Index (MRCI) was developed. The expert panel had strong agreement (Kendall's W = 0.8; p = 0.001) on their individual rankings of the 6 regimens. The panel's consensus ranking had perfect correlation with the MRCI ranking. The total MRCI score had significant correlation with the number of drugs in the regimen (Spearman's Rho = 0.9; p < 0.0001), but not with the age and gender of the patients. Inter-rater and test-retest reliabilities for the total score and scores for individual sections on the MRCI were > or = 0.9.

CONCLUSIONS

The MRCI is a reliable and valid tool for quantifying drug regimen complexity with potential applications in both practice and research.