| Literature DB >> 21532746 |
Sima Berendes1, Peter Heywood, Sandy Oliver, Paul Garner.
Abstract
BACKGROUND: In developing countries, the private sector provides a substantial proportion of primary health care to low income groups for communicable and non-communicable diseases. These providers are therefore central to improving health outcomes. We need to know how their services compare to those of the public sector to inform policy options. METHODS ANDEntities:
Mesh:
Year: 2011 PMID: 21532746 PMCID: PMC3075233 DOI: 10.1371/journal.pmed.1000433
Source DB: PubMed Journal: PLoS Med ISSN: 1549-1277 Impact factor: 11.069
Quality categories, sub-categories, and indicators used.
| Quality Category | Sub-Category | Description and Indicators |
| Structural | Building, equipment, materials | Availability and condition of health facilities, and of defined equipment, materials, and supplies |
| Drug availability | Availability of essential drugs in health facilities and pharmacies | |
| Delivery | Responsiveness | Waiting time, privacy, confidentiality, staff friendliness, communication, dignity |
| Effort | Length of consultation time, whether a physical examination is performed, number of explanations given | |
| Patient satisfaction | Patients' satisfaction with last consultation | |
| Technical | Competence | Professional knowledge and skills |
| Clinical practice | Presence or absence of critical elements of care, whether practice is according to standards or guidelines, proxies for correct prescribing behaviour |
Figure 1Selection of studies.
* See Table S4 for reasons of exclusion; † see Table S5 for reasons of exclusion.
Characteristics of quantitative studies comparing public and formal private providers by region (n = 80).
| Characteristic | South Asia, East Asia, and Pacific | Sub-Saharan Africa | Other | Total Number of Studies |
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| English | 23 | 33 | 16 | 72 |
| French | 0 | 6 | 2 | 8 |
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| 1980–1989 | 1 | 2 | 1 | 4 |
| 1990–1999 | 8 | 16 | 7 | 31 |
| 2000–2009 | 14 | 21 | 10 | 45 |
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| Describe or compare quality of private and public services | 17 | 28 | 13 | 58 |
| Assess drug availability and affordability | 4 | 3 | 2 | 9 |
| Assess demand for, access to, or utilisation of services, or efficiency of service delivery | 2 | 8 | 3 | 13 |
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| Promotive or preventive | 1 | 4 | 2 | 7 |
| Curative, rehabilitative, or palliative | 7 | 14 | 7 | 28 |
| All types | 12 | 18 | 8 | 38 |
| Not specified | 3 | 3 | 1 | 7 |
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| Both CD and NCD | 14 | 24 | 9 | 47 |
| CD | 7 | 13 | 5 | 25 |
| NCD | 1 | 0 | 3 | 4 |
| Not specified | 1 | 2 | 1 | 4 |
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| Adult | 6 | 11 | 2 | 19 |
| Both adult and child | 15 | 21 | 7 | 43 |
| Child | 1 | 3 | 4 | 8 |
| Not specified | 1 | 5 | 5 | 11 |
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| Both (male and female) | 21 | 34 | 15 | 70 |
| Female | 2 | 5 | 3 | 10 |
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Includes Europe and Central Asia (n = 1), Latin America and the Caribbean (n = 6), the Middle East and North Africa (n = 7), and studies reporting on countries in more than one world region (n = 4).
Overall level of quality and comparative quality difference of public and formal private providers.
| Category | Component | Number of Comparisons Converted to 100% Scale | Public Quality Score (%) | Private Quality Score (%) | Difference Private-Public | |||
| Median | IQR | Median | IQR | Median | IQR | |||
| Structural | Building, equipment, and materials | 26 | 41.9 | 25.0, 76.5 | 44.5 | 22.0, 86.6 | 2.8 | −2.9, 20.6 |
| Drug availability | 14 | 45.3 | 38.8, 58.5 | 63.0 | 45.4, 94.8 | 17.9 | 12.5, 29.1 | |
| Delivery | Responsiveness | 7 | 85.0 | 56.9, 86.3 | 89.1 | 75.7, 94.5 | 7.5 | 7.0,12.4 |
| Effort | 3 | 84.9 | 46.5, 87.0 | 92.9 | 54.5, 93.5 | 8.0 | 5.5, 8.0 | |
| Patient satisfaction | 10 | 75.0 | 56.9, 78.8 | 75.0 | 68.0, 79.1 | 0.5 | −2.0, 4.4 | |
| Technical | Competence | 19 | 52.8 | 36.3, 54.2 | 45.2 | 35.0, 53.3 | −3.0 | −7.6, 0.8 |
| Clinical practice | 22 | 44.5 | 27.5, 60.9 | 47.0 | 39.1, 66.5 | 5.2 | 1.3, 14.0 | |
Within each comparison, the difference between the public score and the private score was calculated. The data in this column are the median of these values across all studies. For this reason, they will not correspond to an arithmetic difference of the absolute median scores in the previous columns.