| Literature DB >> 26921263 |
Nana Yaa Boadu1,2, John Amuasi3, Daniel Ansong4, Edna Einsiedel5, Devidas Menon6, Stephanie K Yanow7,8.
Abstract
BACKGROUND: Rapid diagnostic Tests (RDTs) for malaria enable diagnostic testing at primary care facilities in resource-limited settings, where weak infrastructure limits the use of microscopy. In 2010, Ghana adopted a test-before-treat guideline for malaria, with RDT use promoted to facilitate diagnosis. Yet healthcare practitioners still treat febrile patients without testing, or despite negative malaria test results. Few studies have explored RDT implementation beyond the notions of provider or patient acceptability. The aim of this study was to identify the factors directly influencing malaria RDT implementation at primary care facilities in a Ghanaian district.Entities:
Mesh:
Year: 2016 PMID: 26921263 PMCID: PMC4769585 DOI: 10.1186/s12936-016-1174-0
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Fig. 1Conceptual framework for investigating healthcare providers’ compliance with the test-before-treat guideline for malaria in a Ghanaian district. The four outer boxes in green—historical, health system factors, socio-economic factors, and political factors—represent the broader constructs that characterize the context of primary care delivery in the study setting. These contextual factors mediate the processes of RDT uptake for malaria management within that context, and invariably influence providers’ compliance with the test-before-treat guideline for malaria. The four inner boxes in blue indicate the key interactions that directly influence RDT implementation at primary care settings. The double-headed arrows indicate bi-directional influence among these components
Characteristics of included study facilities
| Generic facility ID | Ownership or operating authority | Facility type | Represented level of primary healthcare delivery | Head of facility (provider cadre) | Available services | Availability and type of malaria diagnostic service—RDT or microscopy | Reasons for limited or no availability of a particular diagnostic service |
|---|---|---|---|---|---|---|---|
| Health facility (HF) 1 | Private | Maternity home | Community | Nurse/midwife | Basic preventive | None | Prolonged district-wide RDT stock-outs including private wholesale/retail suppliers |
| HF2 | Private | Clinic | Sub-district | Medical officer (doctor) | Preventive | RDT—limited, irregular supply | Prolonged district-wide RDT stock-outs including private wholesale/retail suppliers |
| HF3 | Private | Hospital | District | Medical officer (doctor) | Curative | Microscopy—routine use | HOF preference backed by infrastructural capacity for quality-assured microscopy |
| HF4 | Government | Health center (small) | Community | Physician assistant | Basic preventive | RDT—limited, irregular supply | Prolonged district-wide RDT stock-outs |
| HF5 | Government | Health center (large) | Sub-district | Physician assistant | Preventive | RDT—limited supply | Prolonged district-wide RDT stock-outs |
| HF6 | Government | District hospital | District | Medical officer (doctor) | Curative | RDT—limited supply and use | Prolonged district-wide RDT stock-outs |
Characteristics of included providers per data collection method at each facility
| Study facility | Facility type | Data collection method(s) | Participating provider cadre(s) | Total number of participating providers per included study facility |
|---|---|---|---|---|
| HF 1 | Maternity home | Non-participant observation | Nurse mid-wife (1) | 4 |
| Informal interviews (3) | Nurse mid-wife (1) | |||
| Focus group discussion (1) | Nurse mid-wife (1) | |||
| HF 2 | Clinic | Non-participant observation | Medical officer (1) | 3 |
| Informal interview (2) | Medical officer (1) | |||
| In-depth, semi-structured interview (1) | Medical doctor (1) | |||
| HF 3 | Hospital | Non-participant observation | Medical officer (1) | 12 |
| Informal interviews (5) | Medical doctor (1) | |||
| In-depth, semi-structured interview (1) | Health facility administrator | |||
| HF 4 | Health center (small) | Non-participant observation | Physician assistant (1) | 6 |
| Informal interviews (3) | Physician assistant (1) | |||
| In-depth, semi-structured interview (2) | Physician assistant (2) | |||
| HF 5 | Health center (large) | Non-participant observation | Physician Assistant (2) | 11 |
| Informal interviews (3) | Physician assistant (1) | |||
| In-depth, semi-structured interview (4) | Physician assistant (1) | |||
| Focus group discussion (1) | Physician assistant (2) | |||
| HF 6 | Non-participant observation | Medical doctor (1) | 14 | |
| Hospital | Informal interviews (5) | Medical doctor (1) | ||
| In-depth, semi-structured interview (4) | Medical doctor (1) | |||
| Focus group discussion (1) | Nurse manager (1) | |||
| Overall total | 50 | |||
Characteristics of representative health administrative/policy officials included in informal interviews (consultative discussions)
| Institution or organization | Representative level of administration/policy oversight | Number of consultative discussions held |
|---|---|---|
| District (local) | District Health Directorate | 2 |
| District Health Management Team DHMT | 1 | |
| Regional | Regional Medical Stores | 3 |
| Regional Malaria Control Office | 2 | |
| National | Society of Private Medical and Dental Practitioners—Ghana | 2 |
| National Health Insurance Authority | 1 |
Socio-demographic characteristics of interviewed healthcare providers including heads of facilities (HOFs)
| Health facility (HF) | Healthcare provider qualification | Gender | Age (years) | Years of practice experience | Years of practice at current facility |
|---|---|---|---|---|---|
| HF 1 | Nurse mid-wife (HOF) | Female | 77 | 56 | 16 |
| Healthcare assistant | Male | 25 | 4 | 4 | |
| Healthcare assistant | Female | 21 | 3 | 1 | |
| HF 2 | Medical doctor (HOF) | Male | 65 | 38 | 29 |
| HF 3 | Medical doctor (HOF) | Male | 35 | 9 | 2.5 |
| Health facility administrator (HOF) | Female | 34 | 9 | 2.5 | |
| HF 4 | Physician assistant (HOF) | Male | 51 | 14 | 5 |
| Physician assistant | Male | 31 | 7 | 2 | |
| HF 5 | Physician assistant (HOF) | Male | 56 | 24 | 18 |
| Nurse | Female | 32 | 9 | 7 | |
| Nurse | Male | 32 | 4 | 2.5 | |
| HF 6 | Medical doctor (HOF) | Male | 51 | 28 | 1 |
| Nurse manager | Female | 55 | 17 | 1 |