Effect of copayment policies on initial medication non-adherence according to income: a population-based study

2018 ◽  
Vol 27 (11) ◽  
pp. 878-891 ◽  
Author(s):  
Ignacio Aznar-Lou ◽  
Anton Pottegård ◽  
Ana Fernández ◽  
María Teresa Peñarrubia-María ◽  
Antoni Serrano-Blanco ◽  
...  

ObjectiveCopayment policies aim to reduce the burden of medication expenditure but may affect adherence and generate inequities in access to healthcare. The objective was to evaluate the impact of two copayment measures on initial medication non-adherence (IMNA) in several medication groups and by income level.DesignA population-based study was conducted using real-world evidence.SettingPrimary care in Catalonia (Spain) where two separate copayment measures (fixed copayment and coinsurance) were introduced between 2011 and 2013.ParticipantEvery patient with a new prescription issued between 2011 and 2014 (3 million patients and 10 million prescriptions).OutcomesIMNA was estimated throughout dispensing and invoicing information. Changes in IMNA prevalence after the introduction of copayment policies (immediate level change and trend changes) were estimated through segmented logistic regression. The regression models were stratified by economic status and medication groups.ResultsBefore changes to copayment policies, IMNA prevalence remained stable. The introduction of a fixed copayment was followed by a statistically significant increase in IMNA in poor population, low/middle-income pensioners and low-income non-pensioners (OR from 1.047 to 1.370). In high-income populations, there was a large statistically non-significant increase. IMNA decreased in the low-income population after suspension of the fixed copayment and the introduction of a coinsurance policy that granted this population free access to medications (OR=0.676). Penicillins were least affected while analgesics were affected to the greatest extent. IMNA to medications for chronic conditions increased in low/middle-income pensioners.ConclusionEven nominal charge fixed copayment may generate inequities in access to health services. An anticipation effect and expenses associated with IMNA may have generated short-term costs. A reduction in copayment can protect from non-adherence and have positive, long-term effects. Copayment scenarios could have considerable long-term consequences for health and costs due to increased IMNA in medication for chronic physical conditions.

2018 ◽  
Vol 2 (6) ◽  
pp. 415-429 ◽  
Author(s):  
Chuanwei Ma ◽  
Pascal Bovet ◽  
Lili Yang ◽  
Min Zhao ◽  
Yajun Liang ◽  
...  

2019 ◽  
Vol 4 (4) ◽  
pp. e001475 ◽  
Author(s):  
Adrianna Murphy ◽  
Catherine McGowan ◽  
Martin McKee ◽  
Marc Suhrcke ◽  
Kara Hanson

BackgroundExperiencing illness in low-income and middle-income countries (LMICs) can incur very high out-of-pocket (OOP) payments for healthcare and, while the existing literature typically focuses on levels of expenditure, it rarely examines what happens when households do not have the necessary money. Some will adopt one or more ‘coping strategies’, such as borrowing money, perhaps at exorbitant interest rates, or selling assets, some necessary for their future income, with detrimental long-term effects. This is particularly relevant for chronic illnesses that require consistent, long-term OOP payments. We systematically review the literature on strategies for financing OOP costs of chronic illnesses in LMICs, their correlates and their impacts on households.MethodsWe searched MEDLINE, EconLit, EMBASE, Global Health and Scopus on 22 October 2018 for literature published on or after 1 January 2000. We included qualitative or quantitative studies describing at least one coping strategy for chronic illness OOP payments in a LMIC context. Our narrative review follows Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guidelines.ResultsForty-seven papers were included. Studies identified coping strategies for chronic illness costs that are not traditionally addressed in financial risk protection research (eg, taking children out of school, sending them to work, reducing expenditure on food or education, quitting work to give care). Twenty studies reported socioeconomic or other correlates of coping strategies, with poorer households and those with more advanced disease more vulnerable to detrimental strategies. Only six studies (three cross-sectional and three qualitative) included evidence of impacts of coping strategies on households, including increased labour to repay debts and discontinuing treatment.ConclusionsMonitoring of financial risk protection provides an incomplete picture if it fails to capture the effect of coping strategies. This will require qualitative and longitudinal research to understand the long-term effects, especially those associated with chronic illness in LMICs.


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