| Literature DB >> 36120091 |
Carla Castillo-Laborde1, Macarena Hirmas-Adauy1, Isabel Matute1, Anita Jasmen2, Oscar Urrejola1, Xaviera Molina1, Camila Awad1, Catalina Frey-Moreno3, Sofia Pumarino-Lira3, Fernando Descalzi-Rojas3, Tomás José Ruiz3, Barbara Plass3.
Abstract
Objective: Identify barriers and facilitators in access to medicines for diabetes, hypertension, and dyslipidemia, considering patient, health provider, and health system perspectives.Entities:
Keywords: access; barriers; diabetes; dyslipidemia; facilitators; hypertension (HTN); medicines; non-communicable chronic diseases (NCDs)
Year: 2022 PMID: 36120091 PMCID: PMC9479461 DOI: 10.3389/phrs.2022.1604796
Source DB: PubMed Journal: Public Health Rev ISSN: 0301-0422
FIGURE 1Inclusion criteria based on PCC method for scoping reviews (Chile, 2022).
FIGURE 2Flow chart of study selection for scoping review process (Chile, 2022). WOS, Web of Science; WHO, World Health Organization; PAHO, Pan American Health Organization; OECD, Organization for Economic Co-operation and Development.
Summary of characteristics of the reviewed documents (Chile, 2022).
| Characteristics of included documents ( | ||
|---|---|---|
| Characteristic |
| % |
| Publication year | ||
| <2000 | 2 | 0.9 |
| 2000–2004 | 12 | 5.5 |
| 2005–2009 | 45 | 20.5 |
| 2010–2014 | 61 | 27.8 |
| 2015–2020 | 99 | 45.2 |
| Publication type | ||
| Indexed database | 189 | 86.3 |
| Grey literature | 30 | 13.6 |
| Country report | 9 | 30.0 |
| Technical report | 8 | 26.7 |
| Regional report | 6 | 20.0 |
| Policy report | 3 | 10.0 |
| Recommendation | 3 | 10.0 |
| PhD thesis | 1 | 3.3 |
| Study design ( | ||
| Cross sectional | 61 | 32.1 |
| Qualitative study | 47 | 24.7 |
| Report, review or discussion article | 31 | 16.3 |
| Cohort study | 12 | 6.3 |
| Mixed method | 11 | 5.8 |
| Literature review | 9 | 4.7 |
| Other | 5 | 2.6 |
| Systematic literature review | 3 | 1.6 |
| Experimental design | 2 | 1.1 |
| Longitudinal and observational study | 2 | 1.1 |
| Systematic literature review and meta- analysis | 2 | 1.1 |
| Cohort and cross sectional | 1 | 0.5 |
| Quasi-experimental design | 1 | 0.5 |
| Experimental design (rationale and design) | 1 | 0.5 |
| Prospective study with survey | 1 | 0.5 |
| Qualitative study (multi-method) | 1 | 0.5 |
| Study population | ||
| Patients | 97 | 44.3 |
| Patients and Health providers | 34 | 15.5 |
| Patients, Health providers, Health system | 32 | 14.6 |
| Health system | 25 | 11.4 |
| Health providers | 16 | 7.3 |
| Health providers and Health system | 7 | 3.2 |
| Studied diseases | ||
| Diabetes | 105 | 47.95 |
| Diabetes and hypertension | 48 | 21.92 |
| Hypertension | 39 | 17.8 |
| Diabetes, hypertension, dyslipidemia | 19 | 8.67 |
| Dyslipidemia | 6 | 2.73 |
| Non-communicable diseases | 2 | 0.91 |
Indexed articles that could not be classified in the previous designs, such as the elaboration of recommendations or the development of a roadmap. Source: based on [4, 7, 9, 15, 16, 22–24, 26, 27, 35–245].
FIGURE 3Barriers by sub-dimensions (Chile, 2022). Source: based on [4, 7, 9, 15, 16, 22–24, 26, 27, 35–245].
Dimensions, barriers and facilitators settings (Chile, 2022).
| Dimension | Barrier/facilitators | Setting |
|---|---|---|
| Availability | Medicine | There are no major differences according to income in the countries studied. However, barriers stand out in vulnerable contexts such as rural health facilities, remote villages, in public health facilities, in poor urban areas and in poor communities |
| Pharmacy | These barriers predominate in UMIC and LMIC ( | |
| Information or health professional expertise | Most of these barriers were identified in UMIC and LMIC ( | |
| Other | These barriers were identified mainly in UMIC and LMIC ( | |
| Facilitators | Facilitators were identified most in UMIC and LMIC ( | |
| Geographical accessibility | Distance | Most of these barriers were identified in UMIC and LMIC ( |
| Connectivity and existence of transportation | Most of these barriers were identified in UMIC and LMIC ( | |
| Other | This was found in HIC such as Singapore, United States and Australia ( | |
| Facilitators | Facilitators were identified mainly in HIC ( | |
| Affordability | Cost of medicines | Although most of the studies are from HIC, and specially the United States ( |
| Out-of-pocket expenditure | Having to pay for medications is a cross-cutting concern. Although it has been more studied in the context of HIC (19 documents just from the United States), it is also possible to find studies from LMIC, mainly from the north and Sub-Saharan region [e.g., Kenya ( | |
| Cost of transportation | In this case, most of evidence comes from Sub-Saharan Africa (e.g., Kenya, | |
| Lack of financial coverage by the health system or private health insurance | Most of the studies coming from HIC, especially from the United States ( | |
| Other | Most of the studies from the United States ( | |
| Facilitators | While most of the studies are from HIC (e.g., United States, | |
| Accommodation | Pharmacy hours and dispensing system | Although two of the studies regarding dispensing system are from the United States, the rest are from LMIC from the Sub-Saharan Africa (Kenya, Nigeria), and UMIC from Latin America (Brazil, Colombia) |
| Administrative requirements | All the studies that mentioned administrative requirements as a barrier are from HIC ( | |
| Accompaniment | In this case all the studies are from HIC ( | |
| Other | Four studies form HIC, four from LMIC (all from South Asia) and three from UMIC [South Africa ( | |
| Facilitators | Among evidence from high-income countries, five studies from the US present facilitators such as prescribing clinicians that considers patients’ preferences, translation services, services targeted to specific minority populations, while three studies from Canada mentioned the availability of advice over the phone (or by email), up to date staff, staff that provides support beyond the technical expertise, and interprofessional collaboration | |
| Acceptability | Cultural aspects | This type of barrier is mainly mentioned in HIC ( |
| Fear | Most of the studies mentioning this barrier come from HIC ( | |
| Treatment and privacy | Considerations on the quantity and way of taking medications appear in studies from HIC ( | |
| Evidence regarding lack of trust and dissatisfaction with the treatment, as well as the perception of a lower quality of care in public services compared to private ones comes mainly from HIC | ||
| Other | These types of barriers are observed in countries with different income levels; however, most of the studies come from HIC ( | |
| Facilitators | Although most studies mentioning facilitators come from HIC ( | |
| Other | Other barriers | Most of the studies that mention these barriers are from HIC ( |
| Other facilitators | They are mentioned only in three studies (one in the United States and two worldwide) |
Source: based on [4, 7, 9, 15, 16, 22–24, 26, 27, 35–245].