| Literature DB >> 35799247 |
Prayuth Sudathip1, Pratin Dharmarak2, Sara Rossi3, Nutthawoot Promda2, Gretchen Newby2, Erika Larson2, Deyer Gopinath4, Jerdsuda Kanjanasuwan1, Praparat Promeiang1, Cheewanan Lertpiriyasuwat1, Darin Areechokchai1, Preecha Prempree5.
Abstract
Thailand's National Malaria Elimination Strategy 2017-2026 seeks to increase domestic support and financing for malaria elimination. During 2018-2020, through a series of training sessions, public health officials in Thailand utilized foci-level malaria data to engage subdistrict-level government units known as Local Administrative Organizations (LAOs) with the aim of increasing their understanding of their local malaria situation, collaboration with public health networks, and advocacy for financial support of targeted interventions in villages within their jurisdictions. As a result of these efforts, total LAO funding support for malaria nearly doubled from the 2017 baseline to 2020. In 2021, a novel "LAO collaboration" feature was added to Thailand's national malaria information system that enables tracking and visualization of LAO financial support of malaria in areas with transmission, by year, down to the subdistrict level. This case study describes Thailand's experience implementing the LAO engagement strategy, quantifying and monitoring the financial support mobilized from LAOs, and results from a qualitative study in five high-performance provinces examining factors and approaches that foster successful local collaboration between LAOs, public health networks, and communities for malaria prevention and response. Results from the study showed that significant malaria endemicity or local outbreaks helped spur collaboration in multiple provinces. Increases in LAO support and involvement were attributable to four approaches employed by public health officials: (a) strengthening malaria literacy and response capacity of LAOs, (b) organizational leadership in response to outbreaks, (c) utilization of structural incentives, and (d) multisectoral involvement in malaria response. In two provinces, capacity building of LAOs in malaria vector control, following a precedent set by Thailand's dengue programme, enabled LAO personnel to play both funding and implementation roles in local malaria response. Wider replication of the LAO engagement strategy across Thailand may sustain gains and yield efficiencies in the fight against malaria as the vector-borne disease workforce declines. Lessons from Thailand's experience may be useful for malaria programmes in other geographies to support the goals and sustainability of elimination and prevention of re-establishment by improving financing through local collaboration between the health system and elected officials.Entities:
Keywords: Budget advocacy; Capacity building; Domestic resource mobilization; Financing; Malaria elimination; Malaria information system; Multisectoral collaboration; Stratification; Thailand; Vector control
Mesh:
Year: 2022 PMID: 35799247 PMCID: PMC9261120 DOI: 10.1186/s12936-022-04227-1
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 3.469
Fig. 1Trends in Thailand’s malaria incidence, 2000–2020
Fig. 2Active malaria transmission foci in Thailand, 2020
Foci classification in Thailand and key interventions
| Foci classification | Current definition | Key interventions targeted at index households and at-risk neighbors |
|---|---|---|
| A1 | Active foci: village or subvillage with indigenous cases in the current year | Passive case detection, radical cure of all cases, 1–3-7, iDES, active case detection twice a year, vector control by IRS or ITN, health education on malaria |
| A2 | Residual non-active foci: village or subvillage without indigenous cases in the current year but with indigenous cases in the previous 3 years | Passive case detection, radical cure of all cases, 1–3-7, iDES, active case detection once a year, vector control by IRS or ITN, health education on malaria |
| B1 | Cleared foci but receptive: village or subvillage without indigenous cases for 3 consecutive years but vectors are found or environment is suitable for vector breeding | Passive case detection, radical cure for all cases, 1–3-7 for index cases |
| B2 | Cleared foci but not receptive: village or subvillage without indigenous cases for 3 consecutive years but vectors are not found or environment is not suitable for vector breeding | Passive case detection, radical cure for all cases, 1–3-7 for index cases |
iDES integrated drug efficacy surveillance, IRS indoor residual spraying, ITN insecticide treated net
Fig. 3Health-related public administration structure in Thailand
Objectives and activities comprising DVBD’s LAO engagement strategy
| Objectives | (a) Increase amount of malaria activity funding contributed by LAOs | (b) Increase the percentage of LAOs contributing to malaria activities in areas with transmission | (c) Make LAO support data visible to the malaria service delivery network and the public |
|---|---|---|---|
| Activities | •Map the LHSF process and document case studies (written and video) •Develop and disseminate training resources via ToT •Research to understand key facilitating factors for collaboration | •Quantify and monitor financial support received •Establish data visualization systems for ongoing tracking | |
Fig. 4Timeline of key activities in LAO engagement, 2018–2021
Amount of funding and % of A1/A2 subdistricts supported by LAOs during fiscal year 2017–2020
| Year | |||||
|---|---|---|---|---|---|
| Amount in Thai Baht | 3,714,999 | 4,489,771 | 6,130,855 | 6,945,273 | 21,280,898 |
| % of LAOs with A1/A2 subdistricts providing support | 10% | 18% | 31% | 38% | |
| Number of provinces with malaria transmission | 46 | 41 | 42 | 39 |
Top 10 provinces with high % of LAO contributions to malaria, among subdistricts categorized as A1/A2
| Rank | Province | 2017 | 2018 | 2019 | 2020 |
|---|---|---|---|---|---|
| 1 | Yala | 80% | 75% | 80% | 68% |
| 2 | Prachin Buri | 0% | 100% | 100% | 67% |
| 3 | Prachuap Khiri Khan | 43% | 53% | 60% | 67% |
| 4 | Mukdahan | 13% | 14% | 92% | 90% |
| 5 | Chanthaburi | 14% | 67% | 63% | 63% |
| 6 | Rayong | 0% | 100% | 100% | 0% |
| 7 | Chiangrai | 18% | 57% | 75% | 50% |
| 8 | Lampang | 0% | 0% | 75% | 100% |
| 9 | Trat | 40% | 18% | 50% | 67% |
| 10 | Krabi | 0% | 0% | 67% | 100% |
Fig. 5“LAO Collaboration” Tableau dashboard in Malaria Online
Percent of LAOs in A1/A2 subdistricts with malaria financial contributions and amount in Thai Baht, FY 2017–2020, for provinces included in the qualitative study
| ODPC | Province | 2017 | 2018 | 2019 | 2020 | Total amount (Thai Baht) | |
|---|---|---|---|---|---|---|---|
| 6 | Chanthaburi | % A1/A2 subdistricts with contributions | 14% | 67% | 63% | 63% | |
| Amount | 29,000 | 291,150 | 272,500 | 244,746 | 837,796 | ||
| Trat | % A1/A2 subdistricts with contributions | 40% | 18% | 50% | 66% | ||
| Amount | 211,200 | 66,000 | 154,345 | 181,022 | 612,567 | ||
| 10 | Sisaket | % A1/A2 subdistricts with contributions | N/A | 30% | 27% | 70% | |
| Amount | 39,100 | 100,060 | 200,620 | 339,780 | |||
| Mukdahan | % A1/A2 subdistricts with contributions | 13% | 14% | 92% | 90% | ||
| Amount | 76,000 | 64,960 | 363,100 | 292,700 | 796,760 | ||
| 12 | Yala | % A1/A2 subdistricts with contributions | 80% | 75% | 80% | 72% | |
| Amount | 1,720,632 | 1,624,525 | 1,442,353 | 1,906,104 | 6,693,614 |
List of key informants involved in LAO engagement study
| Agency/affiliation | Abbreviation | Number | Codes |
|---|---|---|---|
| Office of Disease Prevention and Control | ODPC | 3 | A, B, C |
| Vector Borne Disease Center | VBDC | 4 | 1–4 |
| Vector Borne Disease Unit | VBDU | 4 | 1–4 |
| Provincial Health Office | PHO | 5 | 1–5 |
| District Health Office | DHO | 3 | 1–3 |
| Health promotion hospital | HPH | 6 | 1–6 |
| Village Health Volunteer | VHV | 3 | 1–3 |
| Civil society organization | CSO | 1 | 1 |
| Military | Mil | 1 | 1 |
| Local Administrative Organization | LAO | 11 | 1–11 |