| Literature DB >> 22694936 |
Karen L Carter1, Chalapati Rao, Alan D Lopez, Richard Taylor.
Abstract
BACKGROUND: Mortality statistics are essential for population health assessment. Despite limitations in data availability, Pacific Island Countries are considered to be in epidemiological transition, with non-communicable diseases increasingly contributing to premature adult mortality. To address rapidly changing health profiles, countries would require mortality statistics from routine death registration given their relatively small population sizes.Entities:
Mesh:
Year: 2012 PMID: 22694936 PMCID: PMC3416646 DOI: 10.1186/1471-2458-12-436
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Figure 1Routine Death Reporting Pathways in the Pacific Islands. Dotted lines indicate link does not apply to all study countries.
Key Strengths and Weaknesses of Mortality Reporting Systems in the Pacific Islands
| Societal Issues | Social incentives for registration | Private land burials without official approval |
| Administrative Environment | Existing legal framework | Inadequate/inconsistent implementation of laws |
| | Health systems involvement in Civil registration and vital statistics operations | Passive registration |
| | | Registration process for “off-island” deaths unclear |
| | National statistics committees | Complex statistical reporting requirements |
| System Issues – Administration | Community nurses formally tasked to notify vital events | Improper emphasis on community nurses to report cause of death |
| | Routine compilation of mortality data by different health departments | Need for better coordination to generate one reconciled mortality dataset from the health system |
| | | Private health intuitions rarely integrated adequately into reporting systems |
| | | No clear delineation of responsibility across institutions, leading to task duplication |
| | | Personnel lack authority to query/clarify data |
| System Issues – Technical | Standard international medical death certificate (except Nauru) | Lay reporting of cause for deaths outside facilities in some countries |
| | | Medical certificates of death not routinely tabulated in all countries |
| | Trained ICD coders | High turnover of trained staff |
| | Key personnel adequately skilled for data management at national level | Statistical analysis limited to ten leading causes of death |
| | | Insufficient data quality assessment and control |
| | Initiatives to set data standards for health information | Dysfunctional/outdated software programs not amenable to modification or upgrade |
| System Issues – Ownership | Strong ownership of systems/interest at national levels that has contributed substantially to ongoing survival of the systems | Generally poor feedback to local level staff |
| Many systems are highly dependent on one or two key individuals with a strong interest in providing health data |
Source data: [16].
Tabulated mortality data available for selected Pacific Islands, 2000–2009: WHO databases, as compared with locally available data
| Fiji | 7185 | No data | MoH reports (>95%) | 2000/Low | MOH reports |
| Kiribati | 827 | 2001/>75% | MoH reports (40-60%) | 2002/Low | Not tabulated |
| Nauru | 88 | No data | Civil Registration (>95%) | 1996/not rated | MoH reports |
| Palau | 158 | No data | MoH reports (>95%) | No data | MoH reports |
| Solomon Islands | 4039 | No data | MoH reports (not estimated) | No data | Not tabulated |
| Tonga | 683 | No data | MoH^ reports (>80%) | 1998/Low | MoH reports |
| Vanuatu | 1311 | No data | MoH reports (not estimated) | No data | MoH reports (hospital deaths only) |
# Estimated deaths extracted from Secretariat of the Pacific Islands Population data [33].
* Data extracted from World Health Organisation Statistical Information System [34], [35-40]: data last updated March 2011.
+ Most complete source listed only. MoH = Ministry of Health. Most complete available source or reconciled data: Fiji (MoH), Kiribati (reconciled MoH and civil registry data), Solomon Islands (MoH), Vanuatu (MoH), Nauru (MoH/Civil registry data), Palau (MoH), Tonga (MoH).
$ Estimates of completeness source: Fiji [41], Kiribati (capture-recapture analysis, unpublished), Solomon Islands (system assessment), Vanuatu (system assessment), Nauru [42], Palau (Brass analysis), Tonga [43].
WHO assessment, 2003 [3].
^ MoH data from 2009 onward is routinely reconciled against civil registry data.
Key Regional Priorities for Action
| Societal Issues | Recognise the importance of community nurses in the reporting process (including links and influence with the local community) and provide support for increased training and feedback on how their data is used in health planning. [Long term] |
| Administrative Environment | Conduct operational research to validate reporting completeness and quality in functioning systems to build internal management support and confidence to use results. [Short Term] |
| | Formalise MOU or similar between health departments and civil registration offices on data sharing and cause of death information. [Short Term] |
| System Issues – Administration | Identify and minimise duplication between parallel systems (particularly within health departments), through data sharing agreements. [Short Term] |
| | Assign staff (and adequate resources) to analysis role. [Short Term] |
| | Investigate ways of better engaging provincial governments (island councils, municipal governments etc.) with civil registration, and support this with feedback at a provincial level. [Long Term] |
| System Issues – Technical | Support countries to identify staff responsible for each process and provide in-country training to support them to meet minimum skill and knowledge level. [Short Term] |
| | Encourage tabulation and use of medical certificates as a source of information rather than relying solely on hospital discharge data. [Short Term] |
| | Design databases to capture medical certificates as written. Create an additional field for selection of underlying cause to avoid changes to recorded sequence. [Short Term] |
| | Encourage use of standard statistical measures (confidence intervals, and rolling averages) and reporting of system limitations to aid in appropriate data interpretation. [Short Term] |
| | Assess and build staff capacity, particularly in data analysis and certification practices. [Short Term] |
| System Issues –Ownership | Build supportive relationships between data managers, senior management and doctors that will allow data managers to develop sufficient authority to question data as needed. [Long Term] |
Source data: [16].