| Literature DB >> 28789670 |
Martin Hitziger1, Mónica Berger Gonzalez2, Eduardo Gharzouzi3, Daniela Ochaíta Santizo4, Regina Solis Miranda5, Andrea Isabel Aguilar Ferro4, Ana Vides-Porras6, Michael Heinrich7, Peter Edwards8, Pius Krütli9.
Abstract
BACKGROUND: Up to one half of the population in Africa, Asia and Latin America has little access to high-quality biomedical services and relies on traditional health systems. Medical pluralism is thus in many developing countries the rule rather than the exception, which is why the World Health Organization is calling for intercultural partnerships to improve health care in these regions. They are, however, challenging due to disparate knowledge systems and lack of trust that hamper understanding and collaboration. We developed a collaborative, patient-centered boundary mechanism to overcome these challenges and to foster intercultural partnerships in health care. To assess its impact on the quality of intercultural patient care in a medically pluralistic developing country, we conducted and evaluated a case study.Entities:
Keywords: Boundary management; Central America; Guatemala; Integrative medicine; Intercultural health; Mayan medicine; Partnerships; Traditional medicine
Mesh:
Year: 2017 PMID: 28789670 PMCID: PMC5549296 DOI: 10.1186/s13002-017-0170-y
Source DB: PubMed Journal: J Ethnobiol Ethnomed ISSN: 1746-4269 Impact factor: 2.733
Interests that motivated the main involved partners to participate in the case study
| Mayan Medicine/Councils | Science/ETH Zurich | Biomedical System/INCAN |
|---|---|---|
| Documentation and valorization of Mayan medicine | Gather scientific data on Mayan medicine | Learn about Mayan patients health-seeking pathways |
| Break cultural and historical barriers | Test a transdisciplinary research design to foster intercultural health | Understand Mayan patients high dropout rates |
Fig. 1Diagram with actors and relations involved in the case study. Left hand side: Mayan knowledge system. Right hand side: Biomedical knowledge system. Top: study coordination and facilitation. Center: Medical systems. Bottom: Maya society. Black: Main actors and relations directly involved in the study. Grey: Contextual actors and relations influencing main actors. Solid arrows: relations that preexist the project. Dashed arrows: Relations established during a previous project [47, 48]. Black dotted arrows: relations established by the research design. Grey dotted arrows: Potential future indirect impacts of the study outcomes
Fig. 2Effects that were stipulated by the collaboration between Nana Paulina and INCAN regarding Don Manuel
Fig. 3Effects that were stipulated by the collaboration between Nana Paulina and INCAN regarding Doña Olga
Health-seeking pathways of patients in Guatemala
| Number of visited prior institutions | Time span between initial symptoms and arrival at Maya healer/specialized oncologist | Reasons for abandoning biomedical treatment/reasons for late attention of specialized oncologist | |||
|---|---|---|---|---|---|
| Patient group | Average | Range | Average | Range | |
| Patients of Maya healers interviewed in the case study | 2 | 1–8 | 7.3 years | 2 months–20 years | Lack of funds, disliking treatment experience, disliking treatment outcome |
| 35 Maya patients at INCAN | 3 | 1–7 | 3 years | 3 months–12 years | Lack of funds, geographical access, lack of guidance, and language problems |
Project evaluations of eight key collaborators
| Pos. | Mixed | None | Neg. | NA | ||
|---|---|---|---|---|---|---|
| 1 | Access between patients, healers and biomedical doctors | 8 | 0 | 0 | 0 | 0 |
| 2 | Trust between Maya healers and biomedical doctors | 7 | 0 | 0 | 0 | 1 |
| 3 | Trust between Maya patients and Maya healers | 1 | 3 | 2 | 0 | 2 |
| 4 | Trust between Maya patients and biomedical doctors | 2 | 2 | 2 | 1 | 1 |
| 5 | Knowledge of | 8 | 0 | 0 | 0 | 0 |
| 6 | Knowledge of | 8 | 0 | 0 | 0 | 0 |
| 7 | Generalizability of process beyond individuals | 1 | 4 | 0 | 1 | 2 |
| 8 | Overall success as of expectations | 4 | 3 | 0 | 0 | 1 |
Variables coded according to the project impact (except the variables “Generalizability” and “Overall Success”). Pos.: positive impact. Mixed: Mixed impact. None: No impact. Neg.: Negative impact. NA: Response does not cover variable or is unclear. E.g.: Seven collaborators saw a positive impact on the pre-project levels of trust between Maya healers and biomedical doctors