Dataset Information

Cost-Utility Analysis of Glaucoma Medication Adherence.

ABSTRACT:

Purpose

The majority of patients with glaucoma do not take their medications as prescribed. Estimates of the cost-utility value of adherence to prescribed glaucoma medication are vital to implement potentially effective interventions.

Design

Cost-utility analysis using Monte Carlo microsimulations incorporating a series of Markov cycles (10 000 iterations per strategy).

Participants

Patients with glaucoma aged ≥40 years with a full lifetime horizon (up to 60 years).

Methods

The analysis estimated glaucomatous progression on the basis of data from the United Kingdom Glaucoma Treatment Study. Participants with glaucoma entered the model at age 40 years with a mean deviation in the better-seeing eye of -1.4±-1.9 decibels (dB) and -4.3±-3.4 dB in the worse-seeing eye. Participants whose glaucoma worsened each year accumulate -0.8 dB loss compared with -0.1 dB loss for those who remained stable. Data from the Glaucoma Laser Trial and the Tube versus Trabeculectomy Studies were used to assign probabilities of worsening disease among treated patients. Claims data estimating rates of glaucoma medication adherence over 4 years were used to assign probability of adherence. Those with poor adherence were modeled as having outcomes similar to the placebo arm of the clinical trials. As patients' mean deviation deteriorated, they transitioned between health states from mild (≥-6 dB), to moderate (<-6 to ≥-12 dB), to severe glaucoma (<-12 to ≥23 dB), to unilateral (<-20 dB) and bilateral blindness. At each health state, patients incurred the costs of treatment and established health utilities; ultimately, societal costs of low vision and blindness were included.

Main outcome measures

Cost and quality-adjusted life year (QALY) of glaucoma medication adherence.

Results

Beginning at an initial glaucoma diagnosis at age 40 years, patients proceeded to single-eye blindness as early as 19 years among those who were nonadherent and 23 years for those remaining adherent. Total healthcare costs for adherent patients averaged $62 782 (standard deviation [SD], 34 107), and those for nonadherent patients averaged $52 722 (SD, 38 868). Nonadherent patients had a mean loss of 0.34 QALYs, resulting in a cost-effectiveness ratio of $29 600 per QALY gained.

Conclusion

At a conservative willingness to pay of $50 000/QALY, there is room to expand services to improve patient adherence.

SUBMITTER: Newman-Casey PA

PROVIDER: S-EPMC7145750 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:To determine the associations between medical, demographic, socioeconomic, and ocular factors and adherence to topical glaucoma ocular hypotensive therapy.One hundred sixteen patients with ocular hypertension or open-angle glaucoma from 2 tertiary glaucoma services participated in this prospective study. Adherence to ocular hypotensive therapy was measured using an electronic dose monitor (Travatan Dosing Aid, Alcon Laboratories Inc., Fort Worth, TX) and collected data at 3 months after enrollment. We used 3 different definitions of adherence: 1) Definition 1: the proportion of days taking the prescribed number of drops within 3 hours of the prescribed dosing time; 2) Definition 2: the proportion of days taking any drops within 3 hours of the prescribed dosing time; and 3) Definition 3: the proportion of days taking any drops within 6 hours of the prescribed dosing time. Univariate and multivariate models were used to determine the association between the 3 adherence definitions, medical, demographic, socioeconomic, and ocular factors at 3-month follow-up. The main outcome measures for this study were risk factors for poor objective medication adherence.Adherence, using Definition 1, Definition 2, and Definition 3, was 64%, 75%, and 80%, respectively. Age, total number of other eye diseases, and race were significantly associated with full treatment adherence (Definition 1), with race alone significantly predicting 11% of full treatment adherence. For Definition 2, age, income, level of education, and total number of eye diseases were significantly associated with partial adherence (3 h), again race alone significantly predicted 15% of partial adherence (any drops within 3 h). For Definition 3, race, income, level of education, and total number of other eye diseases significantly predicted partial adherence (any drops within 6 h), both race and income predicted 19% of partial treatment adherence. Significant differences for adherence rates between patients of European descent and those of African descent were found for all 3 definitions with those who were less adherent more likely to be of African descent.Electronic dose monitors provide important information regarding adherence to topical ocular hypotensive medications in glaucoma patients. Electronic dose monitors show low adherence in a significant number of participants. Future studies are needed to determine the reasons for these differences in health behaviors related to glaucoma treatment, which should guide treatment of poor adherence with glaucoma therapy.

Project description:BackgroundMany glaucoma patients do not adhere to their medication regimens because they fail to internalize the (health) costs of non-adherence, which may not occur until years or decades later. Behavioural economic theory suggests that adherence rates can be improved by offering patients a near-term benefit. Our proposed strategy is to offer adherence-contingent rebates on medication and check-up costs. This form of value pricing (VP) ensures that rebates are granted only to those most likely to benefit. Moreover, by leveraging loss aversion, rebates are expected to generate a stronger behavioural response than equivalent financial rewards.Methods/designThe main objective of the Study on Incentives for Glaucoma Medication Adherence (SIGMA) is to test the VP approach relative to usual care (UC) in improving medication adherence. SIGMA is a randomized, controlled, open-label, single-centre superiority trial with two parallel arms. A total of 100 non-adherent (Morisky Medication Adherence Scale ≤6) glaucoma patients from the Singapore National Eye Centre are block-randomized (blocking factor: single versus multiple medications users) into the VP and UC arms in a 1:1 ratio. The treatment received by VP patients will be strictly identical to that received by UC patients, with the only exception being that VP patients can earn either a 50 % or 25 % rebate on their glaucoma-related healthcare costs conditional on being adherent on at least 90 % or 75 % of days as measured by a medication event monitoring system. Masking the arm allocation will be precluded by the behavioural nature of the intervention but blocking size will not be disclosed to protect concealment. The primary outcome is the mean change from baseline in percentage of adherent days at month 6. A day will be counted as adherent when the patients take all their medication(s) within the appropriate dosing windows.DiscussionThis trial will provide evidence on whether adherence-contingent rebates can improve medication adherence among non-adherent glaucoma patients, and more generally whether this approach represents a promising strategy to cost-effectively improve chronic disease management.Trial registrationNCT02271269 . Registered on 19 October 2014.

Project description:Glaucoma is the leading cause of irreversible blindness, affecting 76 million globally. It is characterized by irreversible damage to the optic nerve. Pharmacotherapy manages intraocular pressure (IOP) and slows disease progression. However, non-adherence to glaucoma medications remains problematic, with 41-71% of patients being non-adherent to their prescribed medication. Despite substantial investment in research, clinical effort, and patient education protocols, non-adherence remains high. Therefore, we aimed to determine if there is a substantive genetic component behind patients' glaucoma medication non-adherence. We assessed glaucoma medication non-adherence with prescription refill data from the Marshfield Clinic Healthcare System's pharmacy dispensing database. Two standard measures were calculated: the medication possession ratio (MPR) and the proportion of days covered (PDC). Non-adherence on each metric was defined as less than 80% medication coverage over 12 months. Genotyping was done using the Illumina HumanCoreExome BeadChip in addition to exome sequencing on the 230 patients (1) to calculate the heritability of glaucoma medication non-adherence and (2) to identify SNPs and/or coding variants in genes associated with medication non-adherence. Ingenuity pathway analysis (IPA) was utilized to derive biological meaning from any significant genes in aggregate. Over 12 months, 59% of patients were found to be non-adherent as measured by the MPR80, and 67% were non-adherent as measured by the PDC80. Genome-wide complex trait analysis (GCTA) suggested that 57% (MPR80) and 48% (PDC80) of glaucoma medication non-adherence could be attributed to a genetic component. Missense mutations in TTC28, KIAA1731, ADAMTS5, OR2W3, OR10A6, SAXO2, KCTD18, CHCHD6, and UPK1A were all found to be significantly associated with glaucoma medication non-adherence by whole exome sequencing after Bonferroni correction (p < 10-3) (PDC80). While missense mutations in TINAG, CHCHD6, GSTZ1, and SEMA4G were found to be significantly associated with medication non-adherence by whole exome sequencing after Bonferroni correction (p < 10-3) (MPR80). The same coding SNP in CHCHD6 which functions in Alzheimer's disease pathophysiology was significant by both measures and increased risk for glaucoma medication non-adherence by three-fold (95% CI, 1.62-5.8). Although our study was underpowered for genome-wide significance, SNP rs6474264 within ZMAT4 (p = 5.54 × 10-6) was found to be nominally significant, with a decreased risk for glaucoma medication non-adherence (OR, 0.22; 95% CI, 0.11-0.42)). IPA demonstrated significant overlap, utilizing, both standard measures including opioid signaling, drug metabolism, and synaptogenesis signaling. CREB signaling in neurons (which is associated with enhancing the baseline firing rate for the formation of long-term potentiation in nerve fibers) was shown to have protective associations. Our results suggest a substantial heritable genetic component to glaucoma medication non-adherence (47-58%). This finding is in line with genetic studies of other conditions with a psychiatric component (e.g., post-traumatic stress disorder (PTSD) or alcohol dependence). Our findings suggest both risk and protective statistically significant genes/pathways underlying glaucoma medication non-adherence for the first time. Further studies investigating more diverse populations with larger sample sizes are needed to validate these findings.

Project description:PurposeTo assess possible changes in medication adherence to prostaglandin analog (PGA) regimens among patients with open-angle glaucoma (OAG) after the initial introduction of generic PGAs.DesignLongitudinal cohort analysis.ParticipantsPatients older than 40 years with OAG continuously enrolled in a nationwide managed-care network during 2009-2012 who used PGAs.MethodsMean adherence rates were calculated for topical PGA use during the 18 months before the introduction of generic latanoprost (September 2009-February 2011) and the 18 months after generic latanoprost became available (July 2011-December 2012). The rates were compared between persons who continued to use brand-name PGAs once generic latanoprost became available and others who switched to generic latanoprost. Multivariable logistic regression identified variables associated with an improvement or worsening of adherence of ≥25%.Main outcome measuresMean adherence rates and odds of 25% or more improved or worsened adherence (with 95% confidence intervals [CIs]).ResultsA total of 8427 patients met the study eligibility criteria. Compared with persons switching to generic latanoprost, patients who continued taking brand name PGAs were 28% less likely to have improved adherence (odds ratio [OR], 0.72; 95% CI, 0.55-0.94) and 39% more likely to have reduced adherence (OR, 1.39; 1.04-1.86) of ≥25%. Improved adherence after the generic drug's introduction was also associated with higher monthly medication copay in the pregeneric period (P = 0.02), lower copay after introduction of the generic drug (P < 0.0001), and black race (OR, 1.25; 95% CI, 1.04-1.50). Six-hundred twelve patients (7.3%) discontinued all antiglaucoma interventions when generic latanoprost became available.ConclusionsGiven that cost can significantly deter adherence, switching patients to generic medications may help improve patients' drug-regimen adherence. A considerable number of patients discontinued glaucoma drug use altogether when generic latanoprost became available. Ophthalmologists should work with insurers and pharmacists to prevent such discontinuation of use as generic forms of other PGA agents become available.

Project description:PurposeTo assess longer-term patterns of glaucoma medication adherence and identify whether patterns established during the first year of medication use persist during 3 subsequent years of follow-up.DesignRetrospective, longitudinal cohort analysis.ParticipantsBeneficiaries aged ≥40 years who were enrolled in a United States (US)-managed care plan for ≥7 years between 2001 and 2012 and newly diagnosed and treated for open-angle glaucoma.MethodsFor each enrollee, we quantified medication adherence using the medication possession ratio. Group-based trajectory modeling (GBTM) was applied to identify patterns of adherence for 1 and 4 years of follow-up. The percent of beneficiaries who remained in the same trajectory group in the 1- and 4-year models was tabulated to evaluate group stability. Factors impacting adherence at 1 and 4 years were identified using regression analyses.Main outcome measuresPatterns of glaucoma medication adherence.ResultsOf the 1234 eligible beneficiaries, GBTM identified 5 distinct glaucoma medication adherence patterns in both the 1-year and 4-year follow-up periods. These groups were as follows: (1) never adherent after their index prescription fill (7.5% and 15.6% of persons in the 1- and 4-year models, respectively); (2) persistently very poor adherence (14.9% and 23.4% of persons in the 1- and 4-year models, respectively); (3) declining adherence (9.5% and 9.1% of persons in the 1- and 4-year models, respectively); (4) persistently moderate adherence (48.1% and 37.0% of persons in the 1- and 4-year models, respectively); and (5) persistently good adherence (20.0% and 15.0% of persons in the 1- and 4-year models, respectively). More than 90% of beneficiaries in the 4 groups with the worst and best adherence patterns (groups 1, 2, 3, 5) maintained their patterns from their first year throughout their 4 years of follow-up. Those with persistently moderate adherence (group 4), the largest group, were most likely to change groups from 1 to 4 years of follow-up. Persons with the best adherence over 4 years were more likely to be white, to be older, to earn >$60 000/year, and to have more eye care visits (P < 0.05 for all comparisons). Those with a higher initial copayment cost had lower adherence rates (β = -0.06/dollar, P = 0.03).ConclusionsFor most patients who were newly prescribed glaucoma medications, adherence patterns observed in the first year of treatment reflect adherence patterns over the subsequent 3 years. Investing resources in both identifying and helping patients with suboptimal adherence patterns over the first year may have a large impact on longer-term adherence.

Project description:PurposeTo assess the efficacy of the Support, Educate, Empower (SEE) glaucoma coaching program on medication adherence among glaucoma patients with low adherence.DesignUncontrolled intervention study with a pre-post design.ParticipantsGlaucoma patients ≥ age 40, taking ≥1 medication, who self-reported poor adherence were recruited from the University of Michigan Kellogg Eye Center. Adherence was monitored electronically for a 3-month baseline period; participants with median adherence of ≤80% were enrolled in the SEE program.MethodsParticipants' adherence was monitored electronically (AdhereTech, New York, NY) during the 7-month program. Adherence was calculated as the percentage of doses taken on time of those prescribed. The SEE program included (1) automated medication reminders, (2) 3 in-person counseling sessions with a glaucoma coach who had training in motivational interviewing (MI), and (3) 5 phone calls with the same coach for between-session support. The coach used a web-based tool to generate an education plan tailored to the patient's glaucoma diagnosis, test results, and ophthalmologist's recommendations (www.glaucomaeyeguide.org). The tool guided an MI-based conversation between coach and patient to identify barriers to adherence and possible solutions. Descriptive statistics were used to summarize baseline patient characteristics, and differences between those who did and did not complete the SEE program were tested with 2-sample t tests, chi-square tests, and Fisher exact tests. Adherence was compared before and after the SEE program with paired t tests.Main outcome measureChange in electronically monitored medication adherence.ResultsA total of 48 participants were enrolled. The participants were 54% male, 46% white, and on average 64 years of age (standard deviation [SD], 10.8 years), with an average worse-eye mean deviation (MD) of -7.9 dB (SD, 8.8 dB). Those completing the SEE program (n = 39) did not differ significantly from those who dropped out (n = 9) on gender, race, age, MD, or baseline adherence. Medication adherence improved from 59.9% at baseline to 81.3% (P < 0.0001) after completing the SEE program. Ninety-five percent of participants showed an improvement in adherence (mean relative improvement, 21.4%; SD, 16.5%; range, -3.2% to 74.4%; median, 20.1%). Fifty-nine percent of participants showed adherence of >80% on completing the SEE program.ConclusionsThe SEE program participants showed clinically meaningful, statistically significant improvement in glaucoma medication adherence.

Project description:PurposeTo evaluate the frequency of 11 commonly cited barriers to optimal glaucoma medication adherence among glaucoma patients and to identify barriers contributing to poor adherence.DesignProspective, cross-sectional survey.ParticipantsOne hundred ninety adults with glaucoma taking 1 or more glaucoma medication who received care in glaucoma clinics in Ann Arbor, Michigan, and Baltimore, Maryland.MethodsParticipants completed a survey on demographic and disease characteristics, barriers to optimal glaucoma medication adherence, interest in an eye drop aid, and self-reported adherence (measured by the Morisky Adherence Scale). Descriptive statistics and logistic regression analyses were performed.Main outcome measuresFrequency and number of barriers to adherence among both adherent and nonadherent patients. Odds ratios (ORs) with 95% confidence intervals (CIs) identifying barriers associated with poor adherence.ResultsTwenty-seven percent of the sample reported poor adherence. Sixty-one percent of all participants cited multiple barriers and 10% cited a single barrier as impediments to optimal adherence. Twenty-nine percent of subjects cited no barriers, although only 13% of patients who cited no barriers were nonadherent. Among nonadherent patients, 31% or more cited each of the 11 barriers as important. Logistic regression analysis, adjusted for age, revealed that the following barriers were associated with higher odds of nonadherence: decreased self-efficacy (OR, 4.7; 95% CI, 2.2-9.7; P ≤ 0.0001), difficulty instilling drops (OR, 2.3; 95% CI, 1.1-4.9; P = 0.03), forgetfulness (OR, 5.6; 95% CI, 2.6-12.1; P ≤ 0.0001), and difficulties with the medication schedule (OR, 2.9; 95% CI, 1.4-6.0; P = 0.006). For each additional barrier cited as important, there was a 10% increased odds of being nonadherent (OR, 1.1; 95% CI, 1.0-1.2; P = 0.01).ConclusionsEach of the 11 barriers was important to at least 30% of surveyed patients with poor adherence, with most identifying multiple barriers to adherence. Low self-efficacy, forgetfulness, and difficulty with drop administration and the medication schedule were barriers associated with poor adherence. Interventions to improve medication adherence must address each patient's unique set of barriers.