Expression of Interest (EoI)

Transcription

1 Expression of Interest (EoI) Subject: EOI to Collect Data for the Thailand Malaria Knowledge, Attitudes and Practices (KAP) Survey You are requested to submit an Expression of Interest to collect data for the Thailand Malaria Knowledge, Attitudes and Practices (KAP) Survey The concept note for the KAP 2014 is attached to this request The firm/institution responsible for data collection would be expected to: Provide tablets or other electronic tools for data collection. 2 Programme tablets with a questionnaire provided by Malaria Consortium (MC). Pre-test final questionnaires under the supervision of MC. Undertake training of field staff under the supervision of the MC. Conduct data collection in the field using the questionnaire. Submit periodic reports to MC related to the training, data collection, etc. Undertake data entry of all completed questionnaires (if paper-based). Provide datasets from the data entry activities to MC. 3. Using the questionnaire, the firm/institution would be expected to interview approximately: 2,500 households (1 person per household) and 300 health facilities (2 persons per health facility) In 100 villages across Thailand 4. Your EoI (3 pages maximum) should include: (a) A summary of previous experience with large-scale surveys, including pre-survey training (b) Experience using electronic methods to collect data (if any) (c) Current human resource capacity to undertake large-scale surveys (d) Confirmation of availability to conduct field work for a minimum of 8 weeks sometime between June and September Your EoI may be submitted electronically to: 1 This concept note is subject to change. 2 Please note that, while MC would prefer data collection to be done with electronic tools (as mentioned above), if this does not seem feasible then traditional paper-based methods will still be considered. As such, firms are encouraged to submit an EoI even if they do not have experience with electronic data collection. 1

2 Mr. Natakorn Jittanonta, Programme Manager GFR10 Or to the following address: Address: 268/10 Thung Hotel Soi 6, Thung Hotel Rd., Wat Kate, Muang, Chiang Mai Thailand Attention: Natakorn Jittanonta, Programme Manager GFR10 Telephone number +66 (0) Fax number: +66 (0) Deadline: 21 March If you request additional information, we would endeavor to provide information expeditiously, but any delay in providing such information will not be considered a reason for extending the submission date of your EoI. General questions can be sent to Mr. Natakorn Jittanonta ( above), and technical questions can be sent to Mr. Glaister Leslie at g.leslie@malariaconsortium.org. 5. Depending on the quality and quantity of EoIs, a Request for Proposals (RFP) will be announced shortly thereafter. 2

3 Knowledge, attitude and practices (KAP) survey of households at risk for malaria in Thailand Concept note Background Thailand has officially embarked on the elimination of Plasmodium falciparum as part of its National Malaria Strategy for Control and Elimination of Malaria ( ). Key components of the elimination strategy include improved detection and treatment of malaria cases; improved vector control; behaviour change communication (BCC); strengthened health systems; and interrupted malaria transmission. Global Fund SSF-M ( ) provides direct support to the national malaria control programme s efforts to implement the national strategy. One way in which it does this is by funding a Knowledge, Attitudes and Practices (KAP) survey in Year 3 ( ) of the GF grant. The KAP 2014 survey will provide useful information on what the KAP of the target population are and, along with data collected in 2012 and to be collected in 2016, indicate how KAP is changing over time. The national malaria control programme, as well as relevant partners, can use such data to better tailor their interventions to achieve maximum impact among this population. Additionally, the KAP 2014 survey will also provide data on two outcome indicators of the Global Fund SSF-M Performance Framework and help the programme assess its performance against its targets. Aim and objectives This survey aims to assess the level of knowledge, attitudes and practices among households and health facilities in malaria-endemic areas of Thailand. The objectives of the survey are to: Measure progress in key programme performance indicators since their last measurement (i.e. the Thailand Malaria Survey 2012) Track key knowledge, attitude, behaviour and practice indicators to assess the outcomes of behaviour change communication strategies Measure coverage of prevention methods and coverage of behaviour change communication (BCC) among the target population Assess the quality of malaria related health care services in target areas and the capacity of the health facilities to provide appropriate diagnosis and treatment of malaria Key indicators Household Survey - % of population (Thai, M1 migrants 3, and camp residents 4 ) in target areas sleeping under ITNs 5 (LLIHN 6 /LLIN 7 /re-impregnated 8 bednets) the previous night 3 Defined as those who have lived in Thailand for more than 6 months. 3

4 - % of households at risk of malaria (A1 9 + A2 10 ) with at least one LLIN/ITN and/or sprayed by IRS 11 in the last 12 months - % of people in target areas who know at least one key containment / elimination message. - % of people in target areas who sought advice or treatment within 48 hours of having fever - % of malaria cases in target areas that completed treatment - % households owning 1 ITN for every 2 people or better Health Facility Survey - % of health facilities in which all 4 key assessment tasks are made by health workers (take history of fever and travel, record temperature, check presence of danger signs, perform RDT or take a blood slide and examine under a microscope) - % of parasitologically diagnosed malaria cases who are treated within 24 hours - % of health facilities without stock-outs of first-line antimalarial medicines and diagnostics during the last 12 months Proposed approach The KAP will include two components: a household survey and a health facility survey. Component Target Population Key Data 1) Household Survey - Thai Household characteristics - M1 migrants Resident characteristics - Refugees Household net (coverage and usage) Forest travel 2) Health Facility Survey - Public Health Facilities - Private Health Facilities Practices of people with reported fever Health facility services Antimalarial & diagnostics stock Outpatient records Exit interviews of fever cases The geographic coverage will be malaria endemic provinces: 1) All provinces of GF-SSF-M, Phase I (i.e. 43) 2) Additional provinces added to GF-SSF-M, Phase II (i.e. 5) 3) Thai refugee camps (i.e. 9) 4 This refers to residents of refugee camps along the Thai-Myanmar border. 5 ITN Insecticide-Treated Net 6 LLIHN Long-Lasting Insecticide-Treated Hammock Net 7 LLIN Long-Lasting Insecticide-Treated Net 8 This refers to nets that have been reimpregnated with insecticides. 9 A1 perennial transmission area (transmission reported for at least 6 months per year). 10 A2 periodic transmission area (transmission reported but for less than 6 months per year 11 IRS Indoor Residual Spraying 4

5 Malaria Consortium (MC) is responsible for overall study design and approval; data analysis, and report-writing. As such, the role of MC will be to provide technical support throughout the work ensuring that this project uses current state of the art methods (i.e. in line with Demographic Health Survey / Malaria Indicator Survey methodology). Data collection, however, will be outsourced to an implementing agency. Sampling design An essential aspect of this project is the comparability of the survey estimates with those from the TMS As such, similar to the TMS 2012, the household survey will be cross sectional, using a stratified multi-stage sampling approach where clusters will be selected at the first stage then households within each cluster at the second stage. Sampling strata will be defined based on geographic domain and the malaria transmission setting (A1/A2 category), identical to the TMS baseline survey (i.e. Domain 1=Thai Myanmar border; Domain 2= Thai Cambodia border; Domain 3= remaining provinces). A fourth domain will consist of the refugee camps at the Thai-Myanmar border. Clusters (villages) will be selected using probability proportion to size. The data will be nonself-weighting to a certain extent (i.e. the non-proportional sampling design across sampling domains). Therefore, all analysis will account for sample weights with adjustment for clusters and sampling strata. For each cluster selected for the household survey two health facilities that serve the cluster will also be sampled. These may be located within the cluster or in the nearest/most easily accessible town. Health facilities associated with camps selected for surveying will also be included. Data collection These surveys will use a combination of survey techniques to estimate specific indicators and assess the provider/user situation. Data on households will be collected using a standard questionnaire based on the tool used for the TMS It will be carefully reviewed by a local committee composed of representatives of key stakeholders, with technical support from MC. It will be pretested in a village not already selected for the survey. Questions that need further refinement will be identified and noted for subsequent actions. Data on health facilities will be collected using a questionnaire that builds upon the World Health Organization s Service Availability and Readiness Assessment (SARA) tool. In addition, a comprehensive package of survey tools will be developed and will include forms and standards of procedures for the field work. All survey tools will be developed in English and translated into Thai; consistency will be assured by back translation of the Thai version into English. This survey does not intend to collect blood samples among individuals. Sample size estimation The sample size for the household survey will be based on the expected difference in key indicators since the baseline survey. The calculation will be done using a standard formula 12 for the measurement of difference in two proportions. Several scenarios will be presented and discussed, 12 Kirkwood B. and Sterne J.: Essential Medical Statistics,

6 based on statistical parameters such as significance level (alpha error), power (beta error), nonresponse rate and design effect. The best option will be defined according to the budget available and the likelihood to detect a statistically significant change in key indicators since the baseline survey. Example: To detect a statistically significant increase of at least 10% in the proportion of household respondents aware of any of the three key BCC message since the baseline survey, the following sample size would be required: Domain 1: 600 households Domain 2: 600 households Domain 3: 600 households Domain 4: 400 households Total sample size: 2,200 households This calculation assumes 5% significance level (alpha error), 95% power (beta error); it does not account for design effect nor non-response rate. 6