{"type":"survey","doc_desc":{"title":"VNM_2015_DCHFS_v01_M","idno":"DDI_VNM_2015_DCHFS_v01_M_WB","producers":[{"name":"Development Economics Data Group","abbreviation":"DECDG","affiliation":"World Bank Group","role":"Metadata preparation"}],"prod_date":"2016-11-22"},"study_desc":{"title_statement":{"idno":"VNM_2015_DCHFS_v01_M","title":"District and Commune Health Facility Survey 2015","alt_title":"DCHFS 2015","identifiers":[{"type":"DOI","identifier":"https:\/\/doi.org\/10.48529\/wkj8-r109"}]},"authoring_entity":[{"name":"Gabriel Demombynes","affiliation":"World Bank Group"},{"name":"Kari Hurt","affiliation":"World Bank Group"}],"production_statement":{"producers":[{"name":"Jishnu Das","affiliation":"","role":"Team member"},{"name":"Obert Pimhidzai","affiliation":"","role":"Team member"},{"name":"Huong Lan Dao","affiliation":"","role":"Team member"},{"name":"Ha Thi Ngoc Tran","affiliation":"","role":"Team member"},{"name":"Ben Daniels","affiliation":"","role":"Team member"}],"copyright":"The World Bank"},"distribution_statement":{"contact":[{"name":"Gabriel Demombynes","affiliation":"","email":"gdemombynes@worldbank.org","uri":""},{"name":"Kari Hurt","affiliation":"","email":"khurt@worldbank.org","uri":""},{"name":"Huong Lan Dao","affiliation":"","email":"hdao1@worldbank.org","uri":""},{"name":"Obert Pimhidzai","affiliation":"","email":"opimhidzai@worldbank.org","uri":""},{"name":"Ha Thi Ngoc Tran","affiliation":"","email":"htran7@worldbank.org","uri":""}]},"series_statement":{"series_name":"Socio-Economic\/Monitoring Survey"},"study_info":{"abstract":"The survey was carried out by the Health Strategy and Policy Institute (HSPI) of the Ministry of Health in partnership with the World Bank. The survey was designed to be representative of six provinces in six distinct geographical regions. The provinces include Dien Bien, which has a large ethnic minority population and is one of the country\u2019s poorest provinces, as well as Hanoi, one of the wealthiest areas in the country. The four other provinces (Binh Dinh, Dak Lak, Dong Nai, and Dong Thap) were selected because they have socioeconomic characteristics typical of their respective regions. Information was collected from a representative sample of commune health stations and district hospitals as well as patients who use those facilities.  Elements of the information collected in the study include the availability of key inputs (infrastructure and medicines) at the facility, patient experiences, the qualifications and experience of doctors, the knowledge of doctors, and the actual practice of doctors as recorded in direct observations of clinical practice.","coll_dates":[{"start":"2015-05-17","end":"2015-07-01","cycle":""}],"nation":[{"name":"Viet Nam","abbreviation":"VNM"}],"geog_coverage":"The study consists of six provinces locating in six geographical regions of Vietnam: Dien Bien, Hanoi, Binh Dinh, Dak Lak, Dong Nai, and Dong Thap. Four and a half provinces (Binh Dinh, Dak Lak, Dong Nai, Dong Thap, and the new half of Hanoi which was the \u201cformal Ha Tay\u201d ) were selected as a \u201ctypical\u201d of their corresponding regions based on criteria of provincial average income per capita and provincial poverty rates. To assess the equality of healthcare services, one poor and ethnic minority province (Dien Bien), and a major city (the original half of the capital Hanoi) were also included","analysis_unit":"1. Module 1- Facility Questionnaire: facilities\n2. Module 2- Health worker interviews: doctors (district hospitals) or health staff (commune health stations)\n3. Module 3- Clinical vignettes: doctors or assistant doctors\n4. Module 4- Clinical observations: interactions of doctors and patients\n5. Module 5- Exit patient interviews: inpatients\/outpatients","universe":"6 provinces: Dien Bien, Hanoi, Binh Dinh, Dak Lak, Dong Nai, Dong Thap","data_kind":"Sample survey data [ssd]","notes":"The study has two parts. The first half of the study provides a description of various characteristics of the health care experience: 1) general service readiness in terms of infrastructure and basic service ability, 2) aspects of the experience from the patients\u2019 point of view, and 3) the characteristics of healthcare workers. The second half of the study explore three measure complementary measures of the quality of care. These include a) a measure of doctor \u201cability\u201d based on responses to a series of vignette scenarios testing their knowledge, b) an \u201ceffort\u201d index based on direct observations of time, questions, and diagnostic examinations per patient, and c) an assessment of the correctness of practice observed in direct observation of treatment of particular conditions."},"method":{"data_collection":{"data_collectors":[{"name":"The Health Stategy and Policy Institute","abbreviation":"HSPI","affiliation":""}],"sampling_procedure":"The Vietnam District and Commune Health Facility Survey 2015 was conducted in the same locations with the Household survey to assess inequity in health status and health service utilization in Vietnam (which was simultaneously conducted to collect information on demand side of Vietnam health system) to ensure the linkage in analyzing the relationship between the health seeking behavior and the quality of local providers.\n\nThe study consists of six provinces locating in six geographical regions of Vietnam: Dien Bien, Hanoi, Binh Dinh, Dak Lak, Dong Nai, and Dong Thap. Four and a half provinces (Binh Dinh, Dak Lak, Dong Nai, Dong Thap, and the new half of Hanoi which was the \u201cformal Ha Tay\u201d ) were selected as a \u201ctypical\u201d of their corresponding regions based on criteria of provincial average income per capita and provincial poverty rates. To assess the equality of healthcare services, one poor and ethnic minority province (Dien Bien), and a major city (the original half of the capital Hanoi) were also included. \n\nThe sample of the health facility survey were commune health stations and district hospitals locating in the communes and districts that were corresponding with the selected enumeration areas (clusters) in the Household Survey (Household survey to assess inequity in health status and health service utilization in Vietnam). Specifically in urban areas of Hanoi, where multiple central level hospitals concentrate, some districts do not have district hospitals. In this case, the corresponding city level hospitals or polyclinics were selected. In each facility, besides facilities\u2019 overall information, data of a sample of doctors and inpatients and outpatients were collected.","coll_mode":"Face-to-face [f2f]","research_instrument":"The 2015 Vietnam health survey consists of 5 components including: (1) facility questionnaire; (ii) health worker interviews; (iv) exit patient interviews (iv) clinical vignettes; (v) clinical observation. Except clinical observation, the core instruments of four remaining modules were modeled along the Service Delivery Indicators (SDI), with the integration of the Service Availability and Readiness Assessment (SARA) and 2001-2002 Vietnam National Health Survey tools, and adapted to Vietnam contexts. The module clinical observation, specifically, used Generalizable Reducible Metrics (GRM) method which was based on direct observation of clinical practice. The clinical observation analysis was mostly based on data collection instrument tools implemented successfully in other settings including India and Tanzania.\n\n1.Facility Questionnaire: \n- Collected general information about the health facility, utilization, waste management, facility infrastructure, availability of equipment, materials, drugs and supplies, offered laboratory and diagnostic services. \n- Collected revenues and expenditure by source, information on clinical audits, supervision visits, availability of guidelines.\n2. Health worker interviews\n- Collected data of district hospital doctors\u2019 and commune health station all staff\u2019s characteristics, training opportunities, income, dual practices, satisfaction, and policy suggestions.\n3. Clinical vignettes  \n- Assessed the clinical knowledge of doctors and\/or assistant doctors using medical vignettes.\n4. Clinical observations\n- Assessed the practices of doctors and assistant doctors. Collected information on consultation time, number of history questions, performance of examinations, prescribed medicines, given treatments, given tests.\n5.Exit patient interviews  \n- Collected information on patient experience (waiting time, services of receive, procedures carried out, payments, etc.), socio-economic characteristics, source of health financing, and provider preferences and expectations (reason for choosing facility.)","coll_situation":"Methods of Data Collection:\n1. Module 1- Facility Questionnaire: Mail Questionnaire (and then double check at field on the survey day)\n2. Module 2- Health worker interviews: Face-to-face interviews\n3. Module 3- Clinical vignettes: Face-to-face interviews\n4. Module 4- Clinical observations: Direct observation\n5. Module 5- Exit patient interviews: Face-to-face interviews","act_min":"All phases of the study including study design and preparation, training, piloting, data collection, and data entry and cleaning were supervised closely by the World Bank project team.","cleaning_operations":"All completed forms were double entered by HSPI's data entry specialists; checked by HSPI's data managers and by the World Bank's technical staff."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"The dataset is anonymised with no issue of privacy protection","required":"yes","form_no":"","uri":""}],"contact":[{"name":"Gabriel Demombynes","affiliation":"","email":"gdemombynes@worldbank.org","uri":""},{"name":"Kari Hurt","affiliation":"","email":"khurt@worldbank.org","uri":""},{"name":"Huong Lan Dao","affiliation":"","email":"hdao1@worldbank.org","uri":""},{"name":"Ha Thi Ngoc Tran","affiliation":"","email":"htran7@worldbank.org","uri":""},{"name":"Obert Pimhidzai","affiliation":"","email":"opimhidzai@worldbank.org","uri":""}],"cit_req":"Use of the dataset must be acknowledged using a citation which would include:\n- the Identification of the Primary Investigator\n- the title of the survey (including country, acronym and year of implementation)\n- the survey reference number\n- the source and date of download\n\nExample:\nThe World Bank Group. 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