IHSN Survey Catalog
  • Home
  • Microdata Catalog
  • Citations
  • Login
    Login
    Home / Central Data Catalog / ZMB_2007_PETS_V01_M
central

Public Expenditure Tracking Survey in Health 2007

Zambia, 2007
Reference ID
ZMB_2007_PETS_v01_M
Producer(s)
Ministry of Health, Ministry of Finance, World Bank
Metadata
DDI/XML JSON
Study website Interactive tools
Created on
Oct 28, 2011
Last modified
Mar 29, 2019
Page views
12954
Downloads
36058
  • Study Description
  • Downloads
  • Get Microdata
  • Identification
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    ZMB_2007_PETS_v01_M

    Title

    Public Expenditure Tracking Survey in Health 2007

    Country
    Name Country code
    Zambia ZMB
    Study type

    Public Expenditure Tracking Survey (PETS)/Quantitative Service Delivery Surveys (QSDS)

    Series Information

    A Public Expenditure Tracking Survey (PETS) is a diagnostic tool used to study the flow of public funds from the center to service providers. It has successfully been applied in many countries around the world where public accounting systems function poorly or provide unreliable information. The PETS has proven to be a useful tool to identify and quantify the leakage of funds. The PETS has also served as an analytical tool for understanding the causes underlying problems, so that informed policies can be developed. Finally, PETS results have successfully been used to improve transparency and accountability by supporting "power of information" campaigns.

    PETS are often combined with Quantitative Service Delivery Surveys (QSDS) in order to obtain a more complete picture of the efficiency and equity of a public allocation system, activities at the provider level, as well as various agents involved in the process of service delivery.

    While most of PETS and QSDS have been conducted in the health and education sectors, a few have also covered other sectors, such as justice, Early Childhood Programs, water, agriculture, and rural roads.

    In the past decade, about 40 PETS and QSDS have been implemented in about 30 countries. While a large majority of these surveys have been conducted in Africa, which currently accounts for 66 percent of the total number of studies, PETS/QSDS have been implemented in all six regions of the World Bank (East Asia and Pacific, Europe and Central Asia, Latin America and Caribbean, Middle East and North Africa, South Asia and Sub-Saharan Africa).

    Abstract

    In 2000s the overall performance of the health sector in Zambia has shown some improvement as reflected in the trends of basic health delivery indicators, such as health center outpatient per capita attendance, first antenatal coverage, and fully immunized children under 5 years old. Despite these service improvements, overall health status in the country has stagnated. The disease burden is overrun by the high prevalence of HIV/AIDS, and compounded by high poverty levels and the poor macroeconomic situation in most of the early 2000s.

    In 2007, the Ministry of Health, the Ministry of Finance and the World Bank launched a study to identify the different conditions facing health facilities and the factors affecting their capacity to deliver good quality services. Techniques of Public Expenditure Tracking Survey (PETS) and Quantitative Service Delivery Survey (QSDS) were combined in this research.

    The study provided data for analysis of:

    • budget allocation, release, and spending from the Ministry of Health down to the health facility level,
    • management of infrastructure, utilities, and equipment, including the physical state and functionality of health facilities; basic utilities, transport, and patient amenities; and medical equipment and instruments,
    • management of health personnel, including staff availability, vacancy, absenteeism, and tardiness; staff turnover; staff workload, use of time, and morale; and staff salary and benefits,
    • management of drugs and other medical consumables, including the system for distribution; availability of drugs, vaccines, contraceptives, and other medical consumables; and problems associated with these inputs,
    • clinic and patient management, including capacity of health facilities to deliver services; management and supervision of health facilities; travel and waiting time of patients; and patients' perceptions of quality.

    Eighteen hospitals, 90 rural health centers and 40 urban health centers were visited in four provinces. The health facilities were selected using purposive and random sampling techniques.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis
    • Ministry of Health,
    • Ministry of Finance,
    • Provincial health offices,
    • District health offices,
    • Health facilities,
    • Health facilities employees,
    • Patients.

    Scope

    Notes

    The scope of the study includes:

    • characteristics of respondents (principals, teachers),
    • characteristics of health facilities,
    • capital assets,
    • drugs, vaccines, contraceptives, and other consumables,
    • budget planning, allocation, and spending,
    • collection and management of user fee revenues,
    • quality of services,
    • accountability, management, and supervision.
    Topics
    Topic Vocabulary
    Health World Bank
    Health Systems & Financing World Bank

    Coverage

    Geographic Coverage

    Provinces: Lusaka, Copperbelt, Southern, Northern and Western.

    Producers and sponsors

    Primary investigators
    Name
    Ministry of Health
    Ministry of Finance
    World Bank
    Producers
    Name
    University of Zambia
    Funding Agency/Sponsor
    Name
    World Bank
    Swedish International Development Agency

    Sampling

    Sampling Procedure

    Zambia PETS in Health 2007 adopted a multistage sampling frame involving provinces, districts, and health facilities, and within health facilities, health workers and patients.

    1. During the first stage of sample selection, five provinces were chosen. Two urban provinces - Lusaka Province, and Copperbelt Province were purposively selected. One rural province - Southern Province - was deliberately included in the sample on the advice of the Ministry of Health. (It was the most highly resourced rural province in terms of the number of health facilities, therefore it took a disproportionately larger share of Zambian government health funds). The two other rural provinces - Northern Province and Western Province - were randomly chosen from the list of remaining six rural provinces.

    2. Districts were selected during the second stage of the sampling process using purposive and random sampling. Lusaka province had only four districts, one of which was selected for questionnaire pre-testing. Initially, to save on costs and time, a fixed number of four districts were selected for each province. It is important to note that of the three districts selected by default in Lusaka province, Lusaka Urban is the provincial headquarters and is the most urbanized district in the country; Kafue represents a mix of urban and rural areas; and Luangwa is typically a rural district. In the rest of provinces, it was intended that the provincial capital be purposively selected, plus three other districts selected randomly. Another exception was that given their size, Northern and Southern Provinces were granted five districts and Lusaka was granted three instead of four. Overall, 21 districts were selected, accounting for 29 percent of all districts in the country. The following districts were chosen:

    • Lusaka Province: Lusaka Urban, Kafue, and Luangwa,
    • Copperbelt Province: Ndola, Mpongwe, Mufulira, and Chililabombwe,
    • Southern Province: Livingstone, Siavonga, Namwala, Sinazongwe, and Kalomo,
    • Western Province: Mongu, Shangombo, Sesheke,
    • Northern Province: Kasama, Mpika, Nakonde, Chinsali, and Chilubi Island.
    1. Facilities were selected during the third stage using the simple random sampling without replacement technique. The complete list of health facilities was drawn from the inventory made by the Central Board of Health (CBOH) in 2002 and published as "Health Institutions in Zambia: A Listing of Health Facilities According to Levels and Locations". The survey aimed to capture a number of facilities in each district commensurate with the district population, with 50 percent lying within 10 kilometers of the central business district and the other 50 percent outside the 10 kilometers radius. Given the distribution of hospital facilities, it was expected (and later observed) that the sampling frame would include the district hospital or a higher-level hospital, whichever existed in the respective districts. The total number of facilities selected represented 13 percent of all health facilities in Zambia.
    • Sampling of hospitals (1st and 2nd level, 18 in total): The distribution of hospitals in Zambia is such that there is typically one hospital in each district. Provincial centers, which tend to host second level (regional) hospitals, do not have level one (district) hospitals. A few districts like Shangombo and Nakonde may not have any hospitals at all. 19 hospitals (across all three levels of care) were selected by default through the random selection of the districts, as discussed above. The final sample of hospitals consisted of 18 facilities.

    • Sampling of health centers (132 in total): With the respective district serving as the sampling cluster for health centers, health centers were randomly selected within each district. The sample size of health centers per district within each province was weighted by the total number of public (government and mission) health centers in the district relative to centers in the other districts.

    Patient exit interviews will be conducted on a sample of patients visiting the sample facility during the survey. The sampling procedure will involve picking every 4th-7th patient on the queue, depending on the utilization level at each facility. Prior appointment and consent will be sought while the patient is on the queue. Five patients will be chosen per facility as the budget could not accommodate interviewing a larger sample. Thus, a total of 750 patients will be interviewed.

    At least two health workers from each health facility will also be interviewed. Where possible, a simple random sampling procedure will be used in selecting the sample of staff from the authorized establishment data obtainable at the Ministry of Health headquarters. However, data about staff establishment available centrally are often hampered by transfers, resignations, long leave, long term illnesses, and deaths. Thus, only staff present at the time of the survey will be potential interviewees. The in-charge of the health facility will also be interviewed.

    Survey instrument

    Questionnaires

    Information was collected with the help of the following survey instruments:

    • Health Facility Questionnaire,
    • Patient Questionnaire,
    • District Health Management Team Questionnaire.

    Other sources of information were also used, including data from the Ministry of Health, the Ministry of Finance, Provincial Health Offices, District Health Offices and Medical Stores, Ltd.

    Data collection

    Dates of Data Collection
    Start End
    2007 2007

    Data Access

    Access conditions

    Public use file

    Citation requirements

    The use of this survey must be acknowledged using a citation which would include:

    • the identification of the Primary Investigator (including country name)
    • the full title of the survey and its acronym (when available), and the year(s) of implementation
    • the survey reference number
    • the source and date of download (for datasets disseminated online).

    Disclaimer and copyrights

    Disclaimer

    The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.

    Contacts

    Contacts
    Name Affiliation Email
    Hooman Dabidian World Bank hdabidian@worldbank.org
    Cindy Audiguier World Bank caudiguier@worldbank.org

    Metadata production

    DDI Document ID

    DDI_ZMB_2007_PETS_v01_M

    Producers
    Name Affiliation Role
    Antonina Redko DECDG, World Bank DDI documentation
    Date of Metadata Production

    2011-10-26

    Metadata version

    DDI Document version

    v01 (October 2011)

    Back to Catalog
    IHSN Survey Catalog

    © IHSN Survey Catalog, All Rights Reserved.