Academic literature on the topic 'Operational research on health services'
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Journal articles on the topic "Operational research on health services"
Flagle, Charles D. "OPERATIONAL RESEARCH IN THE HEALTH SERVICES." Annals of the New York Academy of Sciences 107, no. 2 (December 15, 2006): 748–59. http://dx.doi.org/10.1111/j.1749-6632.1963.tb13318.x.
Full textDexter, Franklin, Eric Marcon, and Xiaolan Xie. "Operational research applied to health services 2007 special issue." Health Care Management Science 12, no. 2 (February 21, 2009): 117–18. http://dx.doi.org/10.1007/s10729-009-9102-2.
Full textPeltokorpi, Antti, Juri Matinheikki, Jere Lehtinen, and Risto Rajala. "Revisiting the unholy alliance of health-care operations: payor–provider integration of occupational health services." International Journal of Operations & Production Management 40, no. 4 (April 6, 2020): 357–87. http://dx.doi.org/10.1108/ijopm-04-2019-0326.
Full textNafi’ah, Zumrotun, and Sri Wiranti Setiyanti. "PENGARUH AUDIT OPERASIONAL DAN PENGENDALIAN INTERNAL TERHADAP EFEKTIVITAS PELAYANAN KESEHATAN PADA RUMAH SAKIT UMUM FASTABIQ SEHAT PKU MUHAMMADIYAH PATI." Fokus Ekonomi : Jurnal Ilmiah Ekonomi 13, no. 2 (December 20, 2018): 358–68. http://dx.doi.org/10.34152/fe.13.2.358-368.
Full textPay, Dece Mery Natalia, Mindo Sinaga, and Marthen R. Pelokilla. "Utilization of Health Operational Assistance (BOK) in Nutrition Services in Public Health Center." Jurnal Kesehatan Masyarakat 12, no. 2 (March 14, 2017): 313–22. http://dx.doi.org/10.15294/kemas.v12i2.6045.
Full textBawono, Bambang Tri. "LEGAL PROTECTION OF DOCTORS IN PROVIDING HEALTH SERVICES." International Journal of Law Reconstruction 4, no. 1 (April 30, 2020): 24. http://dx.doi.org/10.26532/ijlr.v4i1.9634.
Full textBanerji, Debabar. "The World Health Organization and Public Health Research and Practice in Tuberculosis in India." International Journal of Health Services 42, no. 2 (April 2012): 341–57. http://dx.doi.org/10.2190/hs.42.2.k.
Full textFox, Amanda, Glenn Gardner, and Sonya Osborne. "A theoretical framework to support research of health service innovation." Australian Health Review 39, no. 1 (2015): 70. http://dx.doi.org/10.1071/ah14031.
Full textDaskalopoulou, Athanasia, Josephine Go Jefferies, and Alexandros Skandalis. "Transforming technology-mediated health-care services through strategic sense-giving." Journal of Services Marketing 34, no. 7 (October 5, 2020): 909–20. http://dx.doi.org/10.1108/jsm-11-2019-0452.
Full textSelvaraju, P. "Operational Efficiency of the Pondicherry Health Employees Co-operative Society: A Study." Asian Review of Social Sciences 7, no. 2 (August 5, 2018): 74–79. http://dx.doi.org/10.51983/arss-2018.7.2.1427.
Full textDissertations / Theses on the topic "Operational research on health services"
Woolcott, John Clifford. "A health care operations research analysis of elderly fallers' emergency department services utilization and cost." Thesis, University of British Columbia, 2011. http://hdl.handle.net/2429/39804.
Full textHagtvedt, Reidar. "Applications of Decision Analysis to Health Care." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/22535.
Full textBeojone, Caio Vítor [UNESP]. "Avaliação do desempenho e cenários alternativos em um samu utilizando o modelo hipercubo estacionário e não-estacionário." Universidade Estadual Paulista (UNESP), 2017. http://hdl.handle.net/11449/152022.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Vários Sistemas de Atendimento Emergenciais (SAE’s) sofrem com as variações diárias da demanda e da disponibilidade das ambulâncias. Nesses sistemas pode haver flutuação do desempenho ao longo do dia devido, por exemplo, a mudança no número de servidores e nas taxas de chegada, levando à necessidade de considerar explicitamente tais variações em uma extensão ao modelo hipercubo ainda não explorada na literatura. Como ocorre em alguns SAE’s, as ambulâncias melhor equipadas são reservadas para o atendimento exclusivo de chamados com risco de vida. Dessa maneira, a política de despacho pode ser diferenciada com a finalidade de reservar totalmente o atendimento de alguns servidores para certas gravidades de ocorrências. Além disso, somam-se à natureza aleatória desses sistemas, como por exemplo, as incertezas da disponibilidade das ambulâncias, a chegada de um novo chamado e sua localização. Nesse contexto, os objetivos do presente estudo são: (i) estender o modelo hipercubo de filas para reserva total de capacidade, dependendo do tipo do chamado; (ii) estender o modelo hipercubo de filas para torná-lo mais eficiente computacionalmente, sem haver perda de precisão durante a modelagem e resolução; e (iii) propor uma abordagem baseada no modelo hipercubo não-estacionário para organização do trabalho das ambulâncias em qualquer momento do dia. Para verificar a viabilidade e a aplicabilidade dessas abordagens, é realizado um estudo de caso no SAMU da cidade de Bauru (SAMU-Bauru) que, além de reservar suas ambulâncias avançadas para ocorrências mais graves, é afetado pelas variações diárias na demanda e disponibilidade das ambulâncias. Além da configuração original do SAMU-Bauru, estudada em duas etapas, foram analisados um total de quatro cenários alternativos que consideram questões importantes: o impacto do aumento na demanda do período mais congestionado; a mitigação desse impacto incluindo uma nova ambulância; a alteração do horário das pausas diárias; e o impacto de aumentos na demanda em horários específicos do dia. Foram calculadas importantes medidas de desempenho para cada cenário como a carga de trabalho, tempos médios de espera e tempos médios de resposta. Os resultados mostram que as extensões realizadas no modelo hipercubo são capazes de analisar satisfatoriamente sistemas como o SAMU-Bauru, além de possibilitar a criação e mensuração de propostas de melhorias nos níveis táticos e operacionais.
Many Emergency Service Systems face daily variations on demand and ambulance availability. These systems may suffer, for example, performance fluctuations throughout the day, changes on the number of servers and on arrival rates, leading to the need to explicitly consider such variations in a hypercube model extension not yet explored in the literature. As occurs in some SAMU’s, which reserve their best equipped ambulances to exclusively serve life-threating requests. Therefore, the dispatch policy can be differentiated in order to completely reserve the service of some ambulances to more severe requests. These problems add up to the random nature of these systems with uncertainties upon ambulance availability or the arrival of a new request and its location. Thus, this study aims to: (i) extend the hypercube queueing model to be able to capture the complete capacity reservation of advanced ambulances, depending on the request classification; (ii) extend the hypercube model in order to make it more computationally efficient, without losing any information during modeling and resolution. (iii) propose an approach based on nonstationary hypercube queueing model to organize the operation of ambulances at any time of the day. To verify the feasibility of these approaches, a case study is carried out on the SAMU from Bauru city (SAMU-Bauru), which, in addition to the advanced ambulance reservation for life-threating requests, is affected by daily variations in demand and ambulance availability. In addition to the original configuration of SAMU-Bauru, studied on a two-step approach, we studied a total of four alternative scenarios that exploited important matters as: the impact of average demand increase on the congestion peak; mitigation of this impact by including a new ambulance; changing the schedule of daily breaks; and the impact of increases in the demand at specific hours of the day. We calculated important performance measures for each scenario, such as workload, mean waiting times and mean response times. Results show that the proposed extensions to the hypercube model are capable of satisfactorily analyze systems such as SAMU-Bauru, besides making it possible to create and to measure improvements proposals in tactical and operational levels.
Hayes-Burrell, Ingrid Monique. "Financing School-Based Health Centers: Sustaining Business Operational Services." ScholarWorks, 2015. http://scholarworks.waldenu.edu/dissertations/1684.
Full textGage, Heather. "Papers in health services research." Thesis, University of Surrey, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.417521.
Full textLee, Seung Yup. "Proactive Coordination in Healthcare Service Systems through Near Real-Time Analytics." Thesis, Wayne State University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10839804.
Full textThe United States (U.S.) healthcare system is the most expensive in the world. To improve the quality and safety of care, health information technology (HIT) is broadly adopted in hospitals. While EHR systems form a critical data backbone for the facility, we need improved 'work-flow' coordination tools and platforms that can enhance real-time situational awareness and facilitate effective management of resources for enhanced and efficient care. Especially, these IT systems are mostly applied for reactive management of care services and are lacking when they come to improving the real-time "operational intelligence" of service networks that promote efficiency and quality of operations in a proactive manner. In particular, we leverage operations research and predictive analytics techniques to develop proactive coordination mechanisms and decision methods to improve the operational efficiency of bed management service in the network spanning the emergency department (ED) to inpatient units (IUs) in a hospital, a key component of healthcare in most hospitals. The purpose of this study is to deepen our knowledge on proactive coordination empowered by predictive analytics in dynamic healthcare environments populated by clinically heterogeneous patients with individual information changing throughout ED caregiving processes. To enable proactive coordination for improved resource allocation and patient flow in the ED-IU network, we address two components of modeling/analysis tasks, i.e., the design of coordination mechanisms and the generation of future state information for ED patients.
First, we explore the benefits of early task initiation for the service network spanning the emergency department (ED) and inpatient units (IUs) within a hospital. In particular, we investigate the value of proactive inpatient bed request signals from the ED to reduce ED patient boarding. Using data from a major healthcare system, we show that the EDs suffer from severe crowding and boarding not necessarily due to high IU bed occupancy but due to poor coordination of IU bed management activity. The proposed proactive IU bed allocation scheme addresses this coordination requirement without requiring additional staff resources. While the modeling framework is designed based on the inclusion of two analytical requirements, i.e., ED disposition decision prediction and remaining ED length of stay (LoS) estimation, the framework also accounts for imperfect patient disposition predictions and multiple patient sources (besides ED) to IUs. The ED-IU network setting is modeled as a fork-join queueing system. Unlike typical fork-join queue structures that respond identically to a transition, the proposed system exhibits state-dependent transition behaviors as a function of the types of entities being processed in servers. We characterize the state sets and sequences to facilitate analytical tractability. The proposed proactive bed allocation strategy can lead to significant reductions in bed allocation delay for ED patients (up to ~50%), while not increasing delays for other IU admission sources. We also demonstrate that benefits of proactive coordination can be attained even in the absence of highly accurate models for predicting ED patient dispositions. The insights from our models should give confidence to hospital managers in embracing proactive coordination and adaptive work flow technologies enabled by modern health IT systems.
Second, we investigate the quantitative modeling that analyzes the patterns of decreasing uncertainty in ED patient disposition decision making throughout the course of ED caregiving processes. The classification task of ED disposition decision prediction can be evaluated as a hierarchical classification problem, while dealing with temporal evolution and buildup of clinical information throughout the ED caregiving processes. Four different time stages within the ED course (registration, triage, first lab/imaging orders, and first lab/imaging results) are identified as the main milestone care stages. The study took place at an academic urban level 1 trauma center with an annual census of 100,000. Data for the modeling was extracted from all ED visits between May 2014 and April 2016. Both a hierarchical disposition class structure and a progressive prediction modeling approach are introduced and combined to fully facilitate the operationalization of prediction results. Multinomial logistic regression models are built for carrying out the predictions under three different classification group structures: (1) discharge vs. admission, (2) discharge vs. observation unit vs. inpatient unit, and (3) discharge vs. observation unit vs. general practice unit vs. telemetry unit vs. intensive care unit. We characterize how the accumulation of clinical information for ED patients throughout the ED caregiving processes can help improve prediction results for the three-different class groups. Each class group can enable and contribute to unique proactive coordination strategies according to the obtained future state information and prediction quality, to enhance the quality of care and operational efficiency around the ED. We also reveal that for different disposition classes, the prediction quality evolution behaves in its own unique way according to the gain of relevant information. (Abstract shortened by ProQuest.)
Harper, Paul Robert. "Operational modelling for the planning and management of healthcare resources." Thesis, University of Southampton, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.249668.
Full textTiwari, Vikram. "Information sharing and coordinated capacity management in service delivery networks." [Bloomington, Ind.] : Indiana University, 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3331249.
Full textTitle from PDF t.p. (viewed on Jul 23, 2009). Source: Dissertation Abstracts International, Volume: 69-11, Section: A, page: 4414. Advisers: Kurt M. Bretthauer; Munirpallam A. Venkataramanan.
Oliff, Monique. "Integration of STI services into reproductive health services in Tanzania : an operational analysis of oppertunities, barriers & achievements." Thesis, London School of Hygiene and Tropical Medicine (University of London), 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.396342.
Full textFewell, Zoe. "Causal modelling in epidemiology and health services research." Thesis, University of Bristol, 2007. http://hdl.handle.net/1983/f12fb11d-0826-46d6-a5ed-7a87fa582b63.
Full textBooks on the topic "Operational research on health services"
K, Pillsbury Barbara L., Nicholas David 1936-, United States. Agency for International Development., and Primary Health Care Operations Research (Project : Center for Human Services), eds. Operations research issues. Chevy Chase, Md. (5530 Wisconsin Ave., Chevy Chase 20815): Primary Health Care Operations Research, Center for Human Services, 1985.
Find full textReynolds, Jack. Operations research methods. Chevy Chase, Md. (5530 Wisconsin Ave., Chevy Chase 20815): Primary Health Care Operations Research, Center for Human Services, 1985.
Find full textSchaefer, Morris. Operations research issues. Chevy Chase, Md. (5530 Wisconsin Ave., Chevy Chase 20815): Primary Health Care Operations Research, Center for Human Services, 1985.
Find full textRoger, Beech, ed. Health operations management: Patient flow logistics in health care. New York, NY: Routledge, 2005.
Find full textEuropean, Working Group on Operational Research Applied to Health Services (24th 1998 Roma Italy). Monitoring, evaluating, planning health services: ORAHS'98 : 24th meeting of the European Working Group on Operational Research Applied to Health Services, Roma, Italy, July 19-24, 1998. Singapore: World Scientific, 1999.
Find full textRussell, Sharon Stanton. Operations research issues. Chevy Chase, Md. (5530 Wisconsin Ave., Chevy Chase 20815): Primary Health Care Operations Research, Center for Human Services, 1985.
Find full textStrategic management for health care entities: Creative frameworks for financial and operational analysis. Chicago: American Hospital Pub., 1998.
Find full textDuckett, Stephen J. Operations research for health planning and administration. Berlin: Springer, 1987.
Find full textOperations research for health planning and administration. Berlin: Springer-Verlag, 1987.
Find full textRahim, M. A., and Jahanara Khatun. Improving planning and coordination services among providers of essential services package in urban Dhaka: Findings from an operations research. Dhaka: ICDDR,B, Centre for Health and Population Research, 2000.
Find full textBook chapters on the topic "Operational research on health services"
Blake, John, Michelle Rogerson, and Dorothy Harris. "Evaluating Health Care Policy Decisions: Canadian Blood Services in Atlantic Canada." In Operations Research and Health Care Policy, 365–98. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6507-2_17.
Full textKleine, Andreas, Andreas Dellnitz, and Wilhelm Rödder. "Sensitivity Analysis of BCC Efficiency in DEA with Application to European Health Services." In Operations Research Proceedings 2013, 243–48. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07001-8_33.
Full textAlharethi, Salman, Abdullah Gani, and Mohd Khalit Othman. "Emergency Departments." In Advances in Intelligent Systems and Computing, 341–58. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03405-4_23.
Full textCerdeira, J. Orestes, Manuel Cruz, and Ana Moura. "A Routing/Assignment Problem in Garden Maintenance Services." In Operational Research, 145–55. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20328-7_9.
Full textBastos, Bruno, Tiago Heleno, António Trigo, and Pedro Martins. "Web Based Application for Home Care Visits’ Optimization of Health Professionals’ Teams of Health Centers." In Operational Research, 37–52. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20328-7_3.
Full textCruz-Gomes, Sofia, Mário Amorim-Lopes, and Bernardo Almada-Lobo. "The Demand for Healthcare Services and Resources: Patterns, Trends and Challenges in Healthcare Delivery." In Operational Research, 91–106. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10731-4_7.
Full textWilliams, J. I., J. Höher, and K. W. Lauterbach. "Health Services Research." In Surgical Research, 533–54. New York, NY: Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-1888-3_57.
Full textSmith, Peter. "Development of a Formula for Distributing Health Service Finance in England." In Operations Research Proceedings, 483–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-79459-9_86.
Full textSchäfer, Thomas, Christian A. Gericke, and Reinhard Busse. "Health Services Research." In Handbook of Epidemiology, 837–902. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-0-387-09834-0_38.
Full textWilliams, J. I. "Health Services Research." In Principles and Practice of Research, 290–307. New York, NY: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4684-0371-8_30.
Full textConference papers on the topic "Operational research on health services"
CLAYDEN, A. D. "OPERATIONS RESEARCH IN HEALTH SERVICES: A SUCCESS, OR IS MORE RESEARCH NECESSARY?" In Proceedings of the 24th Meeting of the European Working Group on Operational Research Applied to Health Services. WORLD SCIENTIFIC, 1999. http://dx.doi.org/10.1142/9789812817839_0001.
Full textVISSERS, J. M. H. "HEALTH CARE MANAGEMENT MODELLING: A DEVELOPMENTAL PERSPECTIVE." In Proceedings of the 24th Meeting of the European Working Group on Operational Research Applied to Health Services. WORLD SCIENTIFIC, 1999. http://dx.doi.org/10.1142/9789812817839_0007.
Full textWong, D., and Y. Hiew. "Community Operational Research (OR) and Design Thinking for the Health and Social Services: A Comparative Analysis." In 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2020. http://dx.doi.org/10.1109/ieem45057.2020.9309850.
Full textDE VECCHIS, C. "METHODS FOR EVALUATION OF INSTITUTIONAL BENCHMARK IN HEALTH CARE." In Proceedings of the 24th Meeting of the European Working Group on Operational Research Applied to Health Services. WORLD SCIENTIFIC, 1999. http://dx.doi.org/10.1142/9789812817839_0019.
Full textMOSMANS, A. "MULTICRITERIA DECISION AID FOR HELPING TO UNDERSTAND HEALTH CARE CONSUMPTION." In Proceedings of the 24th Meeting of the European Working Group on Operational Research Applied to Health Services. WORLD SCIENTIFIC, 1999. http://dx.doi.org/10.1142/9789812817839_0006.
Full textMULLEN, P. M. "ARE INEQUALITIES IN HEALTH CARE CONSISTENT WITH EQUITY IN ACCESS?" In Proceedings of the 24th Meeting of the European Working Group on Operational Research Applied to Health Services. WORLD SCIENTIFIC, 1999. http://dx.doi.org/10.1142/9789812817839_0002.
Full textAAGAARD, C., and E. MIKITIS. "HEALTH CARE REGIONALISATION PROJECT: DEVELOPMENT PLAN AND IMPLEMENTATION IN PILOT AREA." In Proceedings of the 24th Meeting of the European Working Group on Operational Research Applied to Health Services. WORLD SCIENTIFIC, 1999. http://dx.doi.org/10.1142/9789812817839_0005.
Full textCLAYDEN, A. D., and E. RENVOIZE. "STRATEGIC CHANGE IN THE UK NATIONAL HEALTH SERVICE: THE VIEWS OF SOME GENERAL PRACTITIONERS." In Proceedings of the 24th Meeting of the European Working Group on Operational Research Applied to Health Services. WORLD SCIENTIFIC, 1999. http://dx.doi.org/10.1142/9789812817839_0018.
Full textDE OLIVEIRA, M. J. FERREIRA. "3D VISUAL SIMULATION PLATFORM FOR THE PROJECT OF A NEW HOSPITAL FACILITY." In Proceedings of the 24th Meeting of the European Working Group on Operational Research Applied to Health Services. WORLD SCIENTIFIC, 1999. http://dx.doi.org/10.1142/9789812817839_0004.
Full textDELESIE, L. "HOW TO MONITOR, EVALUATE AND PLAN MEDICAL PROGRAMMES? AN APPROACH AND AN ILLUSTRATION FOR CARDIOVASCULAR SURGERY." In Proceedings of the 24th Meeting of the European Working Group on Operational Research Applied to Health Services. WORLD SCIENTIFIC, 1999. http://dx.doi.org/10.1142/9789812817839_0003.
Full textReports on the topic "Operational research on health services"
Baek, Carolyn, and Naomi Rutenberg. Addressing the family planning needs of HIV-positive PMTCT clients: Baseline findings from an operations research study. Population Council, 2005. http://dx.doi.org/10.31899/hiv14.1000.
Full textMoynihan, Ray. Evaluating Health Services: A Reporter Covers the Science of Research Synthesis. New York, NY: Milbank Memorial Fund, March 2004. http://dx.doi.org/10.1599/040330moynihan.
Full textSims, C. S. Collection and analysis of Health Physics Research Reactor operational and use data. Office of Scientific and Technical Information (OSTI), April 1985. http://dx.doi.org/10.2172/5858466.
Full textvan Dijk, Marieke, Katherine Wilson, Claudia Diaz, and Sandra Garcia. Operational research for the introduction of an adolescent health package in the context of cervical cancer prevention. Population Council, 2009. http://dx.doi.org/10.31899/rh13.1002.
Full textYonally, Emilie, Nadia Butler, Santiago Ripoll, and Olivia Tulloch. Review of the Evidence Landscape on the Risk Communication and Community Engagement Interventions Among the Rohingya Refugees to Enhance Healthcare Seeking Behaviours in Cox's Bazar. Institute of Development Studies (IDS), July 2021. http://dx.doi.org/10.19088/sshap.2021.032.
Full textAuthor, Not Given. Report of the Work of the Biological and Medical Research, Radiological Physics, and Health Services Divisions for the Quarterly Period ending March 31, 1953. Office of Scientific and Technical Information (OSTI), April 2015. http://dx.doi.org/10.2172/12462687.
Full textAalto, Juha, and Ari Venäläinen, eds. Climate change and forest management affect forest fire risk in Fennoscandia. Finnish Meteorological Institute, June 2021. http://dx.doi.org/10.35614/isbn.9789523361355.
Full textLazdane, Gunta, Dace Rezeberga, Ieva Briedite, Elizabete Pumpure, Ieva Pitkevica, Darja Mihailova, and Marta Laura Gravina. Sexual and reproductive health in the time of COVID-19 in Latvia, qualitative research interviews and focus group discussions, 2020 (in Latvian). Rīga Stradiņš University, February 2021. http://dx.doi.org/10.25143/fk2/lxku5a.
Full textSturzenegger, Germán, Cecilia Vidal, and Sebastián Martínez. The Last Mile Challenge of Sewage Services in Latin America and the Caribbean. Edited by Anastasiya Yarygina. Inter-American Development Bank, November 2020. http://dx.doi.org/10.18235/0002878.
Full textLeavy, Michelle B., Danielle Cooke, Sarah Hajjar, Erik Bikelman, Bailey Egan, Diana Clarke, Debbie Gibson, Barbara Casanova, and Richard Gliklich. Outcome Measure Harmonization and Data Infrastructure for Patient-Centered Outcomes Research in Depression: Report on Registry Configuration. Agency for Healthcare Research and Quality (AHRQ), November 2020. http://dx.doi.org/10.23970/ahrqepcregistryoutcome.
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