Use of Automated Phone Calls to Promote Adherence with Inhaled Corticosteroids
Use of Automated Phone Calls to Promote Adherence with Inhaled Corticosteroids
批准号:
7279293
负责人:
William Marion Vollmer
金额:
$75.21万
依托单位国家:
美国
项目类别:
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-08-21 至 2010-06-03
关键词:
Accident and Emergency departmentAcuteAdherenceAdoptionAdrenal Cortex HormonesAgeAsthmaBreathingCaringCessation of lifeCharacteristicsChronicChronic Obstructive Airway DiseaseChronic Obstructive AsthmaClinicalComorbidityConditionCongestive Heart FailureDevelopmentDiseaseDoseEffectivenessEffectiveness of InterventionsEnrollmentExhibitsFailureGenderGoalsHawaiiHealth Care CostsHealth Maintenance OrganizationsHealth StatusHospitalizationHospitalsHypertensionInterventionLifeLiteratureLung diseasesMaintenanceMeasuresMedicalMental DepressionMethodsMorbidity - disease rateOutcomeOutcome MeasureParticipantPatient Self-ReportPatientsPatternPersonal SatisfactionPharmaceutical PreparationsPharmacy facilityPhasePhysiciansQuality of lifeRaceRandomizedRandomized Clinical TrialsRangeRateRecordsRelative (related person)ReportingResearchRiskSelf EfficacyServicesSeveritiesSpeech Recognition SoftwareSubgroupSurveysTelephoneTestingTreatment FailureTreatment ProtocolsVisitWell in selfWorld Health OrganizationWritingbasecostexpectationfollow-uphealth beliefhealth care service utilizationimprovedindexingmemberoutreachprescription documentprescription procedureresponsesatisfactionspeech recognitiontherapy design
中文摘要
描述(由申请人提供):患者未能坚持医生开出的慢性药物治疗方案在医学文献中有很好的记载。在包括高血压、哮喘和充血性心力衰竭在内的各种慢性疾病中,都显示出依从性差。这种不坚持的临床影响可能包括治疗失败、不必要和危险的强化治疗、住院治疗和死亡。世界卫生组织最近的一份报告得出结论,不坚持治疗大大增加了疾病的发病率,降低了生活质量,提高了卫生保健利用率。这项研究的目的是测试使用语音识别(SR)软件进行电话外展的有效性,以提高患有哮喘或慢性阻塞性肺疾病(COPD)的大型健康维护组织成员对吸入皮质类固醇(ICS)的依从性。主要结果将是对药物获得的持续衡量和对药物缺口的持续衡量。次要结果指标包括自我评估的用药模式、特定疾病的健康状况、对护理的满意度、哮喘/慢性阻塞性肺病医院服务的使用情况以及哮喘/慢性阻塞性肺病急性护理的总费用。这项随机临床试验将招募Kaiser Permanente西北和夏威夷地区估计24,500名年龄在18岁或以上的成员,他们将因哮喘或COPD接受过治疗,并在随机前一年至少接受过一次呼吸药物的分配。参与者将在患者水平上随机接受常规护理或旨在促进改善ICS药物依从性的基于SR的干预。随机化将在最初14个月的开发阶段之后进行,在此期间,干预脚本将被开发、试点和最终确定。干预将在随机化后持续一年。相关性:这项研究的目标是测试电话语音识别软件,以改善患者服用哮喘和长期肺部疾病药物的方式。这种方法,如果它帮助人们按照处方服药,就可以用于各种其他长期的医疗条件。
英文摘要
DESCRIPTION (provided by applicant): The failure of patients to adhere to physician-prescribed chronic medication regimens has been well- documented in the medical literature. Poor adherence has been demonstrated across a wide range of chronic conditions, including hypertension, asthma, and congestive heart failure. The clinical implications of this non-adherence can include treatment failure, unnecessary and dangerous intensification of therapy, hospitalizations, and deaths. A recent report of the World Health Organization concluded that therapy non- adherence contributes substantially to disease morbidity, reduced quality of life, and increased health care utilization. The objective of this research is to test the effectiveness of conducting telephone outreach using speech recognition (SR) software to improve adherence to inhaled corticosteroids (ICS) among members of a large health maintenance organization with asthma or chronic obstructive pulmonary disease (COPD). The primary outcomes will be the continuous measure of medication acquisition and the continuous measure of medication gaps. Secondary outcome measures include self-assessed patterns of medication use, disease- specific health status, satisfaction with care, use of hospital-based services for asthma/COPD, and total cost of acute care for asthma/COPD. This randomized clinical trial would enroll the estimated 24,500 members of the Kaiser Permanente Northwest and Hawaii regions aged 18 years or older who will have been seen for asthma or COPD and received at least one dispensing of a breathing medication during the year prior to randomization. Participants will be randomized at the patient level to receive either usual care or an SR-based intervention designed to promote improved adherence to ICS medications. Randomization will occur after an initial 14- month development phase during which the intervention scripts are developed, piloted, and finalized. The intervention will continue for one year post randomization. Relevance: The goal of this research is to test speech recognition software for telephone calls to improve how patients take medications for asthma and long-term lung disease. This method, if it helps people take their medications as prescribed, could be used with a variety of other long-term medical conditions.
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会议论文
Promoting Adherence to Improve Effectiveness of Cardiovascular Disease Therapies
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批准号:8009310
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项目类别:
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资助金额:$646.69万
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财政年份:2010
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负责人:William Marion Vollmer
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依托单位:
Prevention of Adult Caries Study (PACS) Data Coordinating Center
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批准号:7454634
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项目类别:
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资助金额:$4.64万
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财政年份:2006
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负责人:William Marion Vollmer
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依托单位:
Use of Automated Phone Calls to Promote Adherence with Inhaled Corticosteroids
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批准号:7650376
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项目类别:
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资助金额:$70.37万
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财政年份:2006
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负责人:William Marion Vollmer
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依托单位:
Xylitol Adult Caries Trial (X-ACT) Data Coordinating Center
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批准号:7660411
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资助金额:$54.05万
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财政年份:2006
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负责人:William Marion Vollmer
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依托单位:
Xylitol Adult Caries Trial (X-ACT) Data Coordinating Center
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批准号:7197524
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资助金额:$102.57万
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负责人:William Marion Vollmer
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Prevention of Adult Caries Study (PACS) Data Coordinating Center
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批准号:7261965
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资助金额:$68.15万
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财政年份:2006
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Prevention of Adult Caries Study (PACS) Data Coordinating Center
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资助金额:$62.9万
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资助金额:$9.34万
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负责人:William Marion Vollmer
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Prevention of Adult Caries Study (PACS) Data Coordinating Center
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批准号:7138517
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资助金额:$75.4万
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资助金额:$57.68万
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Xylitol Adult Caries Trial (X-ACT) Data Coordinating Center
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资助金额:$54.46万
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负责人:William Marion Vollmer
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依托单位:
Xylitol Adult Caries Trial (X-ACT) Data Coordinating Center
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批准号:8305324
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项目类别:
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资助金额:$9.08万
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财政年份:2006
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负责人:William Marion Vollmer
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依托单位:
Phone Calls to Promote Adherence with Inhaled Corticoste
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批准号:7149728
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资助金额:$79.18万
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Prevention of Adult Caries Study (PACS) Data Coordinating Center
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资助金额:$29.66万
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Use of Automated Phone Calls to Promote Adherence with Inhaled Corticosteroids
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批准号:7431573
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资助金额:$74.03万
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依托单位:
Xylitol Adult Caries Trial (X-ACT) Data Coordinating Center
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资助金额:$50.65万
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Prevention of Adult Caries Study (PACS) Data Coordinating Center
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资助金额:$8.82万
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资助金额:$62.02万
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