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Cheapest generics could save Medicare billions
In Medicare’s prescription drug benefit, switching to generic and lowest-cost options for common blood-pressure drugs could have saved billions from 2018–2022.
*Retrospective analysis of national spending data; Level 2c (OCEBM).

Citation

Wong JMM, Reiffel JA, Kowey PR. Brand-names and higher-cost generics drive avoidable Medicare Part D expenditures: A quantitative analysis using angiotensin-converting enzyme inhibitors and angiotensin receptor blockers as a model. The American Journal of Medicine. 2026;139:50–56. doi:10.1016/j.amjmed.2025.07.020.

Background

Drug spending in Medicare’s prescription drug benefit continues to rise, and brand-name and higher-priced generic choices may add avoidable costs. This study examined recent spending patterns and estimated savings if lower-cost options were used more consistently.

Patients

People enrolled in Medicare’s prescription drug benefit, 2018–2022, who received single-ingredient angiotensin-converting enzyme inhibitors or angiotensin receptor blockers.

Intervention

Modeled substitutions: (1) replace every brand-name fill with its matching generic; (2) replace every fill with the lowest-cost generic within each drug class.

Control

Observed prescribing and spending in Medicare’s public Part D spending dataset.

Outcome

Total spending and estimated avoidable spending (modeled savings).

Follow-up Period

2018–2022 (5 years)

Results

From 2018 to 2022, enrollment grew 13.7%, while total annual spending on these drugs rose modestly (about $1.25 billion to $1.28 billion). Brand-name use was under 1% of fills but accounted for a much larger share of spending, especially for angiotensin receptor blockers.
Modeled strategy Estimated savings
Replace all brand-name fills with matching generics (2018–2022 cumulative) $429 million
Use the lowest-cost generic within each class for all fills (2018–2022 cumulative) $2.66 billion
Use the lowest-cost generic within each class for all fills (2022 only) $457 million

Limitations

Uses aggregated spending data; no patient outcomes. Assumes drugs are interchangeable. Rebate estimates were indirect and outdated. Excludes combination pills and market price changes from increased demand.

Funding

No specific funding; one author reported minor equity in PRM Pharmaceuticals.

Clinical Application

Prefer generics and consider formulary defaults to the lowest-cost generic in these classes, with clinician opt-out when patient-specific reasons require another drug.

Top Journal Rankings - February 2026

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8 abstracts scored across 7 criteria. Click any article to expand criterion scores.
1. 6.9
Effect of Continuity of Care on Emergency Care and Hospital Admissions Among Patients Receiving Home-Based Care: A Population-Based Cohort Study.
Overall: A primary-care cohort of homebound older adults found higher continuity with assigned GPs/nurses was strongly associated with fewer urgent care visits and hospital admissions, but observational design and limited precision reporting temper confidence in how directly this should drive practice changes.
View 6 Criterion Scores
Primary-Care Relevance & Applicability 9.0
Conducted in primary health care centers and focused on very old, home-based care patients—an important and common primary-care population with clear implications for outpatient care organization.
Validity, Bias Control & Precision 6.0
Population-based cohort with adjusted mixed and survival models, but it remains observational (residual confounding likely), limited to 3 centers, and the abstract does not report confidence intervals or event counts to judge precision well.
Patient-Oriented Outcomes 7.0
Urgent care use and hospital admissions are patient-relevant and system-important outcomes, though they are utilization endpoints rather than direct measures of symptoms, function, quality of life, or mortality.
Magnitude of Net Benefit 6.5
Reported associations are large (odds ratios ≤0.45), suggesting potentially meaningful reductions in acute care use, but absolute risks and harms/tradeoffs of pursuing higher continuity are not provided in the abstract.
Implementability & Practicality 7.0
Continuity targets (e.g., ≥75% of visits with assigned clinicians) are conceptually actionable in primary care, but achieving them may require scheduling, staffing, and workflow changes that can be nontrivial.
Practice-Changing Potential 6.0
Provides a potentially useful continuity threshold and reinforces the importance of relational continuity, but as non-interventional evidence it is more suggestive for policy/quality improvement than a standalone mandate to change practice.
2. 5.6
Continuity of primary care and end-of-life care costs in dementia: a retrospective cohort study.
Overall: A large, primary-care-relevant observational study suggesting better GP continuity is linked to lower end-of-life costs in dementia, but missing effect sizes and limited patient-centered outcomes in the abstract reduce actionable impact.
View 7 Criterion Scores
Primary‑Care Relevance 9.0
Directly evaluates GP continuity in people with dementia and links this to end-of-life healthcare costs, a common primary-care-facing population and care-planning issue.
Patient‑Oriented Outcomes 4.0
Outcomes are mainly system/economic (hospital and GP costs) and implied utilization; no clearly reported patient-centered outcomes (symptoms, quality of life, place of death) in the abstract.
Impact / Effect Size 3.0
The abstract states an association with lower total costs but provides no absolute or relative effect estimates, making clinical/real-world importance hard to judge.
Study Design Quality 5.0
Retrospective cohort with linked datasets and multivariable modeling is appropriate for association, but remains observational with potential residual confounding and selection/measurement biases.
Practicality 7.0
Improving continuity of care is conceptually feasible in primary care, but achieving “perfect continuity” can be constrained by access pressures, staffing, and scheduling realities.
Sample Size & Precision 6.0
Large sample (32,799) suggests potential for precise estimates, but the abstract reports no confidence intervals, p-values, or key numeric results, limiting assessment of precision.
Novelty / Practice‑Changing Potential 5.0
Addresses an important policy-relevant gap (cost impact of continuity in end-of-life dementia care), but without quantified effects and given observational design, it is more suggestive than practice-changing.
3. 5.6
Evaluating the role of faecal calprotectin in older adults: a retrospective observational study.
Overall: A primary-care-relevant retrospective study in older adults with a decent sample size, but the abstract omits key diagnostic accuracy and precision data, limiting confidence in the magnitude of benefit and near-term practice impact.
View 7 Criterion Scores
Primary-Care Relevance 8.0
Directly addresses how faecal calprotectin is used in primary care to triage older adults with lower GI symptoms for referral and colonoscopy, a common GP decision point.
Patient-Oriented Outcomes 4.0
Focuses on diagnostic performance for IBD/organic pathology rather than patient outcomes (symptom improvement, morbidity, mortality), and the abstract does not report downstream clinical outcomes.
Impact / Effect Size 3.0
Despite concluding the test is sensitive, the abstract provides no sensitivity/specificity, predictive values, likelihood ratios, or absolute post-test risk changes—so clinical impact cannot be quantified.
Study Design Quality 4.0
Retrospective, observational, single-trust cohort of patients already referred for colonoscopy, which raises selection bias and limits inference about unselected primary-care populations.
Practicality 8.0
Faecal calprotectin and FIT are commonly available, noninvasive tests that can be incorporated into routine outpatient workflows with relatively low burden.
Sample Size & Precision 6.0
Overall sample size is reasonable (n=669, including 246 aged ≥50), but the abstract reports no confidence intervals or clear statistical performance metrics to judge precision.
Novelty / Practice-Changing Potential 6.0
Addresses an important evidence gap (older adults often excluded) and suggests a potential role alongside negative FIT, but the lack of explicit accuracy estimates limits immediate practice change.
4. 5.5
General practice consultation patterns and patient factors predicting older patients' use of out-of-hours services: a nationwide register-based cohort study.
Overall: A highly relevant nationwide observational study suggesting patient factors—more than higher daytime GP consultation provision—drive out-of-hours use, but limited reporting of effect sizes/precision and non-patient health outcomes constrain impact.
View 6 Criterion Scores
Primary-Care Relevance & Applicability 9.0
Directly addresses general practice daytime access/organization and older patients’ use of out-of-hours primary care—highly relevant to routine primary-care planning and continuity.
Validity, Bias Control & Precision 6.0
Nationwide register-based cohort with prespecified analytic approaches (latent profiles, zero-inflated Poisson regression), but remains observational with likely residual confounding; abstract provides no effect sizes or confidence intervals, limiting precision appraisal.
Patient-Oriented Outcomes 4.0
Primary outcome is healthcare utilization (out-of-hours contacts), which is important for systems/coordination but is not a direct patient health outcome such as morbidity, function, or quality of life.
Magnitude of Net Benefit (Benefits minus harms/burdens) 2.0
No tested intervention or quantified benefit/harms; the key finding is essentially no reduction in out-of-hours use with substantially higher daytime consultation provision, with no absolute differences reported.
Implementability & Practicality 7.0
Findings are straightforward to apply as a caution against assuming that simply increasing daytime consultation volume will lower out-of-hours demand, though translating this into actionable changes requires broader system measures beyond a single practice.
Practice-Changing Potential 5.0
Could influence service planning by shifting focus toward patient-level risk factors rather than increasing daytime visit numbers alone, but absence of actionable effect estimates and the observational design limit immediate practice change.
5. 5.4
Budget Impact Analysis of the Balanced Opioid Initiative: A Cluster Randomized Trial Aimed at Deprescribing Opioids for Chronic Pain in Primary Care Settings.
Overall: A primary-care cluster randomized comparison of opioid deprescribing implementation strategies with detailed cost estimates, but limited reporting of patient-important outcomes and effect sizes reduces confidence in clinical impact despite policy relevance.
View 7 Criterion Scores
Primary‑Care Relevance 9.0
Conducted in 32 primary care clinics and targets opioid prescribing for chronic pain, a common primary-care management problem with clear workflow implications.
Patient‑Oriented Outcomes 3.0
Primary outcome is mean morphine milligram equivalent dose and secondary outcomes are process measures (risk mitigation metrics); no direct patient-important outcomes (e.g., pain/function change, overdose, QoL) are reported.
Impact / Effect Size 4.0
States higher-intensity strategies significantly decreased MME and changed screening/testing behaviors, but provides no absolute changes, effect sizes, or confidence intervals to judge clinical meaningfulness.
Study Design Quality 6.0
Uses a cluster randomized design with staged randomization across clinics, which supports causal inference, but key analytic details and outcome reporting for effectiveness are limited in the abstract.
Practicality 6.0
Strategies (education, audit/feedback, facilitation, peer consulting) are feasible for health systems but require staff time and added program costs, making implementation nontrivial for some practices.
Sample Size & Precision 4.0
Includes 32 clinics, but the abstract provides no precision estimates (CIs/SEs) and does not report patient counts or event numbers, limiting confidence in stability of estimates.
Novelty / Practice‑Changing Potential 6.0
Adds useful budget impact comparisons across deimplementation intensity levels and highlights downstream utilization costs, but limited clinical outcome detail may constrain immediate practice change.
6. 5.2
Clinical assessment of recurrent cancer: a Danish cohort study in general practice.
Overall: A highly primary-care-relevant descriptive cohort showing how often GPs suspect and refer for cancer recurrence and how this relates to diagnostic delay, but limited by retrospective survey bias and lack of patient-outcome and precision data.
View 6 Criterion Scores
Primary-Care Relevance & Applicability 8.5
Directly examines GP suspicion and referral actions for cancer recurrence in general practice, a realistic outpatient decision point.
Validity, Bias Control & Precision 4.5
Retrospective cohort with GP survey linkage and a 48% response rate introduces selection/response bias; limited detail on confounding control and no confidence intervals reported.
Patient-Oriented Outcomes 4.0
Primary findings focus on diagnostic actions and diagnostic intervals (process measures) rather than morbidity, mortality, quality of life, or other patient-centered endpoints.
Magnitude of Net Benefit (Benefits minus harms/burdens) 3.5
Reports a shorter median diagnostic interval (60 days) when GPs suspected cancer, but does not demonstrate downstream patient benefit or quantify harms, false positives, or burden from increased referrals.
Implementability & Practicality 6.0
Findings are actionable conceptually (maintain suspicion and use fast-track pathways), but the study does not test an intervention or provide a clear, scalable implementation strategy.
Practice-Changing Potential 4.5
Useful descriptive data highlighting missed suspicion and variation by cancer type, but unlikely to change practice on its own without evidence that reducing diagnostic intervals improves patient outcomes.
7. 4.4
Incentives and Equity: A Randomized Controlled Trial to Improve Glycemic Control in Socioeconomically Disadvantaged Patients With Diabetes.
Overall: This primary-care–relevant RCT addresses affordability barriers in diabetes care, but the abstract lacks the key outcome data and statistical detail needed to judge benefit size and confidence, and it reports only a surrogate endpoint.
View 7 Criterion Scores
Primary-Care Relevance 8.0
Targets uncontrolled type 2 diabetes in socioeconomically disadvantaged communities, a very common primary-care condition and management problem.
Patient‑Oriented Outcomes 2.0
The outcome described is glycemic control/HbA1c, which is primarily a surrogate marker; no patient-important outcomes (e.g., complications, hospitalization, quality of life) are reported.
Impact / Effect Size 1.0
The abstract’s Results section is incomplete and does not report between-group differences, absolute changes, or statistical results, so the magnitude of benefit cannot be assessed.
Study Design Quality 6.0
Randomized controlled trial design supports causal inference, but key methodological details (allocation concealment, attrition, analysis approach) are not provided in the abstract.
Practicality 5.0
A voucher-based, conditional reduction in out-of-pocket costs could be implemented by a health plan, but it requires administrative infrastructure and pharmacy redemption workflows.
Sample Size & Precision 4.0
Sample size is modest (n=186), and the abstract provides no confidence intervals, p-values, or event counts, limiting precision appraisal.
Novelty / Practice‑Changing Potential 5.0
Financial incentives for medication affordability in disadvantaged patients is a potentially actionable approach, but the missing quantitative results make practice impact uncertain.
8. 4.3
Evaluating genotype-treatment interactions for high-risk medications in British general practice: a retrospective cohort study using UK Biobank.
Overall: Although highly relevant to general-practice prescribing and patient-important adverse drug effects, the abstract reports null findings without quantitative estimates and notes methodological/phenotyping limitations, yielding limited immediate clinical impact.
View 6 Criterion Scores
Primary-Care Relevance 8.0
Focuses on high-risk medications prescribed in British general practice and adverse drug effects relevant to routine primary-care prescribing.
Validity, Bias Control & Precision 4.0
Retrospective cohort design with acknowledged phenotypic imprecision and methodological limitations; the abstract provides no effect estimates, confidence intervals, or event counts to judge precision.
Patient-Oriented Outcomes 7.0
Targets medically important adverse drug effects (clinically meaningful harms), though outcome ascertainment appears limited/possibly imprecise based on the authors’ own caveats.
Magnitude of Net Benefit 1.0
Reports no statistically significant genotype–treatment interactions for adverse drug-effect risk, so there is no demonstrated clinical benefit from genotype-guided prescribing in this analysis.
Implementability & Practicality 4.0
Genotype-guided prescribing would require genetic testing and integration into prescribing workflows, and the study does not show a usable signal to justify implementation.
Practice-Changing Potential 2.0
A negative reproducibility finding is informative but does not provide an actionable change for typical clinicians beyond suggesting current variants may not help in this setting.
Score Guide: 9-10 Exceptional 7-8 Strong 5-6 Moderate 3-4 Weak 1-2 Poor
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