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24.02.2021 | Original Paper

Beyond price: the effects of non-financial barriers on access to drugs and health outcomes

verfasst von: Lucia Leporatti, Rosella Levaggi, Marcello Montefiori

Erschienen in: The European Journal of Health Economics | Ausgabe 4/2021

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Abstract

Objectives

We study the impact of the pharmacy dispensing channel (as a proxy for access to drugs) on the drug purchases, health outcomes, and health care utilization (emergency room visits or hospitalizations) of chronically ill patients in Liguria, Italy, in 2017.

Methods

We use the coarsened exact matching algorithm to compare the health outcomes for a treated group of patients living in a local health authority (LHA) where drug distribution through community pharmacies was restricted. These patients were matched to a control group of patients living in other LHAs, where drugs were also dispensed through a broad network of community pharmacies. We exploit a unique administrative dataset with information on the socio-demographic characteristics and health care services utilization of Ligurian patients with chronic cardiovascular and respiratory ailments. We restrict our analysis to patients 65 years of age or older who were admitted to hospitals from 2013 to 2016 with either a principal or secondary diagnosis connected to chronic cardiovascular and respiratory diseases.

Results

Reduced access to drugs leads to lowered drug consumption, a higher probability of adverse health outcomes including mortality, and a higher consumption of medical services in terms of hospitalizations and emergency room visits. These effects increase with patients’ age.

Conclusion

The pharmacy dispensing channel significantly affects drug consumption and acts as a proxy for adherence among chronically ill patients. Thus, health outcomes and health care utilization should be carefully evaluated when comparing the costs of alternative dispensing channels.
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Fußnoten
1
Istat (2020)—Demographic statistics available at: http://​demo.​istat.​it
 
2
The National Healthcare Service was established in 1978 and is based on a Beveridge model which provides universal coverage free of charge. In the last twenty years, reforms have progressively shifted the responsibility of policy management and service funding from the central government to regional jurisdictions. See [38] for more details.
 
3
Agenzia Italiana del Farmaco.
 
4
The CCI exploits ICD-9-CM diagnosis codes to classify conditions into chronic or not chronic/acute. A condition is considered chronic if it lasts at least 12 months and satisfies at least one of the following conditions: (1) causing limitations on personal care, daily activities, and social life; (2) resulting in the need for ongoing medical intervention [39].
 
5
Drugs targeting cardiovascular diseases have the following Anatomical Therapeutic Chemical (ATC) codes: C01, C04A, C02, C07, C08, C09, B01AA, and B01AC. Drugs to treat respiratory diseases have the ATC code R03.
 
6
Hospitalization data include information on interregional patient mobility.
 
7
Source: Italian Ministry of Health.
 
8
For ED visits, the decision to include only principal diagnoses (and not also secondary ones) related to the investigated chronic conditions is justified based on the need to consider only the direct consequences of lower adherence. With this approach, overestimations of health care utilization are avoided.
 
9
A large dataset ensures that there will be a significant reduction in the sample’s overall imbalance after matching. Particularly, after matching, the overall imbalance L1 [33] is reduced from 0.33 (for cardiovascular patients) and 0.35 (for patients with respiratory diseases) to less than 0.001.
 
10
A logit specification is used to model the probability of mortality, a Poisson distribution is used to model hospitalizations and ED visits, and linear OLS is used to model the quantity of purchased drugs.
 
11
The small amount of drugs bought in the DPC channel in LHA_A is explained by the fact that patients are free to move across LHAs and purchase drugs elsewhere: as a consequence, some patients from LHA_A might (occasionally) purchase drugs in DPC in other LHAs.
 
12
A logit specification is used to model the probability of mortality, a Poisson distribution is used to model hospitalizations and ED visits, and linear OLS is used to model the quantity of purchased drugs.
 
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Metadaten
Titel
Beyond price: the effects of non-financial barriers on access to drugs and health outcomes
verfasst von
Lucia Leporatti
Rosella Levaggi
Marcello Montefiori
Publikationsdatum
24.02.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
The European Journal of Health Economics / Ausgabe 4/2021
Print ISSN: 1618-7598
Elektronische ISSN: 1618-7601
DOI
https://doi.org/10.1007/s10198-021-01270-8