AMERICAN INDIAN DIABETES BELIEFS & PRACTICES: MATERNAL CARE, INFANT MORTALITY....
美洲印第安人对糖尿病的看法
基本信息
- 批准号:7305083
- 负责人:
- 金额:$ 22.53万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2007
- 资助国家:美国
- 起止时间:2007-10-01 至 2012-09-30
- 项目状态:已结题
- 来源:
- 关键词:AbateAdherenceAmericanAmerican IndiansAreaBehaviorBehavioralBeliefCaringCategoriesChoctaw Nation of OklahomaClinical ResearchCollaborationsCommunicationCommunication BarriersCommunity HealthCommunity Health EducationDiabetes MellitusDisciplineDiseaseEducationEtiologyGestational DiabetesGoalsHealedHealthHealth PersonnelHealth PromotionHealth SciencesHealth behaviorHealth educationHealthcareHome visitationHouse CallInfant MortalityInstitutionInterviewKnowledgeLicensingMainstreamingMeasuresMedicalModelingNursesOklahomaOutcomeParticipantPatient currently pregnantPatientsPerceptionPharmaceutical PreparationsPhasePhysiciansPregnancyPregnant WomenPrevalencePreventionPreventiveProcessProviderQuestionnairesRateRecommendationRecruitment ActivityResearchResourcesScreening procedureSiteSourceTodayTrainingTransportationTribesUniversitiesWomanbasecare deliverycare seekingconceptcopingdiabetes educationdiabetes educatordiabetes managementdiabeticexperiencehealinghealth beliefhealth care deliveryhealth disparityhelp-seeking behaviorimplementation researchimprovedinfant outcomenon-diabeticsatisfactionsocialtooltreatment planningtribal community
项目摘要
Specific Aims
This research on American Indian (AI) diabetes beliefs and practices as they relate to maternal
care, infant mortality, and adherence seeks to elicit practitioner and patient Explanatory Models of pregestational
and gestational diabetes mellitus, and will be conducted in collaboration with the Chickasaw
and Choctaw Nations of Oklahoma, under the auspices of the Oklahoma Center for American Indian
Diabetes Health Disparities Research (OCAIDHD) at the University of Oklahoma Health Sciences Center
(OUHSC) and the General Clinical Research Center (GCRC).
The schema for this research is based on Kleinman (1978) concept of health behaviors being
located in three sectors: professional (licensed, educated in cosmopolitan institutions), popular (lay), and
folk (lay but with social recognition of healing capacity). The research is directed at all three sectors, but
telescoped into "professional" and "popular and folk." The professional sector is comprised of health
providers that are (AI and non-AI) licensed practitioners whose education is steeped in biomedicine. The
popular/folk sector is comprised of pregnant AI women: gestational, pre-gestational, or "never had"
diabetes. The popular and folk sector is combined because participants characterized as "folk
practitioners" are not sought as direct subjects. However, subjects from the popular sector may make
references to "folk" sector participants. If this occurs, that information will be collected as part of the
popular sector subjects' experience with diabetes coping. The result is that, if present, the folk sector
influence will still be captured but viewed as a part of popular sector subjects' way of managing diabetes.
This research will provide practitioners of multiple disciplines new information that delineates
patients' ways of help-seeking and adherence/non-adherence with treatment recommendations for pregestational
diabetes mellitus (PGDM) and gestational diabetes mellitus (GDM). Findings will inform
practitioners about 1) differing Explanatory Models of diabetes held by their patients, 2) how
practitioners' biomedical Explanatory Models of diabetes during pregnancy differ from patient culturallybased
models, and 3) areas of concordance and discordance across models. Knowledge gained from this
research will facilitate health care delivery in that biomedical diabetes education before and during
pregnancy can be more appropriately integrated with pre-existing patient models, thus providing the
pregnant woman with access to culturally-relevant diabetes education. Moreover, this research will
contribute to a more complete understanding of health beliefs and behavioral dynamics in terms of how
disease is culturally constructed, with particular relevance to potential impacts on maternal care and infant
mortality in the context of diabetes.
Paradoxically, in spite of today's most advanced medical treatment, prevention campaigns, and
health promotion strategies, prevalence rates for diabetes mellitus, as well as GDM, are persistent and
rising. In the presence of potent drugs and wide-spread health education information, diabetes prevalence
should be abating. Since it is not, other factors promoting diabetes must be operating. Preliminary
research suggests that one possible source for persistent and increasing diabetes prevalence is that nonobvious
sociocultural factors are present that impede the productive application of pharmacologic and
health education tools. In addition to poor management of the diabetes, mutual respect between
practitioners and patients suffers from communication discordance with the result that both are very
dissatisfied with the encounter.
The non-obvious sociocultural factors operating to impede effective health care are found in the
divergent models of diabetes held by practitioners and patients. Specifically, professional and lay
explanations for disease, treatment, and prevention can vary radically. Explanations for the etiology,
treatment, course, and preventive measures for sickness are known as "explanatory models." Explanatory
Models (EMs) held by providers and patients may be similar. Similar EMs facilitate communication and
are associated with increased adherence to treatment recommendations and patient/provider satisfaction.
However, EMs that are discordant between practitioners and patients are prone to reduce effective
communications, adherence to treatment recommendations, and negatively impact health outcomes.
This research will elicit Explanatory Models of diabetes during pregnancy from pregnant
diabetics (n=40), 60 pregnant non-diabetics (n=60), and their health care providers (n=60 ) regarding
etiology, course, and treatment in order to reduce barriers to adherence and improve diabetes outcomes.
All pregnant subjects are AI's. "Health Care Providers" are defined as physicians, licensed nurses,
Certified Diabetes Educators (CDE's), and tribal Community Health Representatives (CHR's:
paraprofessionals trained for home visits, screenings, health education, community resource
identification, and transportation to health care sites). Collaboration with the Choctaw and Chicksaw
Nations of Oklahoma will be continuous to strengthen all phases of the research process and assure that
appropriate research goals will be met.
Specific Aim # 1: Collaboration with Choctaw and Chickasaw Nations on decisions regarding
questionnaire refinement, research implementation, and application of the research findings.
Specific Aim # 2: Recruit 60 health care providers and 100 pregnant patients to serve as subjects for
interviews.
Specific Aim #3: Delineate the Explanatory Models held by 100 pregnant women of which 10 will have
pre-gestational diabetes, 30 will have gestational diabetes, and 60 will not have diabetes.
Hypothesis: Explanatory Models will vary by category of disease experience.
Specific Aim # 4: Delineate the Explanatory Models held by patients about maternal and infant outcomes
relevant to diabetes during pregnancy.
Hypothesis: Patient's Explanatory Models of maternal and infant outcomes may predict help-seeking and
adherence behaviors.
Specific Aim # 5: Delineate the Explanatory Models of diabetes held by providers regarding their
patients' diabetes education, care-seeking behaviors, and adherence/non-adherence to treatment plans.
Hypothesis: Provider Explanatory Models of diabetes may be discordant with patient models of diabetes,
contributing to communication barriers. Perceptions of patient help-seeking and adherence may either
facilitate or be a barrier to optimal care.
Specific Aim #6: Delineate provider models of care delivery.
Hypothesis: Provider models of care delivery may either facilitate or impede patients' help-seeking and
adherence behaviors..
Specific Aim #7: Delineate subjects' degree of identification with traditional AI culture or mainstream
culture.
Hypothesis: Subjects' cultural identification may predict their Explanatory Model of diabetes.
Specific Aim # 8: In collaboration with Choctaw and Chickasaw Nations, disseminate the findings of the
research to health care providers in both tribes.
特定的目标
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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