| Literature DB >> 22018017 |
Dereck Chitama1, Rob Baltussen, Evert Ketting, Switbert Kamazima, Anna Nswilla, Phares G M Mujinja.
Abstract
BACKGROUND: Successful priority setting is increasingly known to be an important aspect in achieving better family planning, maternal, newborn and child health (FMNCH) outcomes in developing countries. However, far too little attention has been paid to capturing and analysing the priority setting processes and criteria for FMNCH at district level. This paper seeks to capture and analyse the priority setting processes and criteria for FMNCH at district level in Tanzania. Specifically, we assess the FMNCH actor's engagement and understanding, the criteria used in decision making and the way criteria are identified, the information or evidence and tools used to prioritize FMNCH interventions at district level in Tanzania.Entities:
Mesh:
Year: 2011 PMID: 22018017 PMCID: PMC3217841 DOI: 10.1186/1472-6874-11-46
Source DB: PubMed Journal: BMC Womens Health ISSN: 1472-6874 Impact factor: 2.809
Social -economic and demographic characteristics of the study area
| Indicators | National level | Mwanza Region | Source of data |
|---|---|---|---|
| Population size | 34.4 million | 2.9 million | (NBS, 2006) |
| Population growth rate | 2.90% | 3.2% | (NBS, 2010, URT., 2006) |
| Total Fertility rate | 5.4 | 5.7% | (NBS, 2010, URT., 2006) |
| Contraceptive prevalence rate(All method) | 34% | 15% | (NBS, 2010) |
| Contraceptive prevalence rate(Modern method) | 27% | 12% | (NBS, 2010) |
| Maternal Mortality ratio | 454/100000 | No data | (NBS, 2010) |
| Neonatal Mortality rate | 26/1000 | 55/1000 | (NBS, 2010) |
| Under five Mortality ratio | 81/1000 | 80/1000 | (NBS, 2010) |
| Income poverty | 33.30% | 37.6% | (NBS, 2009) |
| Food Poverty | 16.60% | 18.4% | (NBS, 2009) |
| Unmet need for family planning | 21.6% | 26.7% | (NBS, 2005, Keogh et al., 2009) |
Figure 1Figure 1 shows the district council health system planning process comprising of three phases; the input, thruput and outcome phases. The input phase involves the forth and back consultative process between the CHMT and beneficiaries in soliciting priority interventions to be considered in the CCHP. The thruput phase involves the prioritization process and approval by various authority bodies within and outside the district council. The prioritization and approval process is guided by guidelines, criteria and evidences. The outcome phase involves the approved CCHP document ready for funding and implementation.
Correlation coefficient cut offs
| Correlation coefficient cut-offs | Explanations |
|---|---|
| 1.0 to 0.7 | Strong positive association in opinion |
| 0.7 to 0.5 | Modest positive association in opinion |
| 0.5 to 0.2 | Weak positive association in opinion |
| 0.2 to -0.2 | Little or no association in opinion |
| -0.2 to -0.5 | Weak negative association in opinion |
| -0.5 to -0.7 | Modest negative association in opinion |
| -0.7 to -1.0 | Strong negative association in opinion |
Figure 2Figure 2 is an extract from the district health account (HDA) tool used in the prioritization process. The extract maps out the summary of the previous year priority intervention’s share of expenditure and its corresponding share of the BOD to guide the current year’s prioritization process. The assumption is the intervention with high BOD deserves high priority in resource allocation and vice versa. However, this assumption is not the case in some district council health system planning process.
Order of importance of the identified criteria by different groups of actors
| Criteria | Reproductive and Child Health Sections (RCHS) | Council Comprehensive Health Plan Teams (CCHPT) | General Population Groups (GPG) |
|---|---|---|---|
| Local Burden of the problem | 1 | 8 | 1 |
| Effectiveness | 2 | 4 | 2 |
| Capacity(HR,Equipements etc | 3 | 7 | 8 |
| Number of beneficiaries | 4 | 3 | 4 |
| Preventive | 5 | 1 | 3 |
| Society preference | 6 | 6 | 5 |
| Cost | 7 | 2 | 0 |
| National policy priority | 7 | 5 | 0 |
| Poverty reduction | 9 | 11 | 6 |
| Target area(Rural vs Urban) | 10 | 0 | 0 |
| Previous year's target | 11 | 0 | 0 |
| Positive externality | 12 | 12 | 0 |
| International goals | 0 | 0 | 0 |
| Political support | 0 | 10 | 0 |
| Vurnerable groups | 0 | 9 | 7 |
General population group's correlation analysis
| District a | District b | District c | |
|---|---|---|---|
| District a | 1.0000 | ||
| District b | 0.3959 | 1.0000 | |
| District c | 0.5327 | 0.6809 | 1.0000 |
Reproductive and child health section's correlation analysis
| District a | District b | District c | |
|---|---|---|---|
| 1.0000 | |||
| 0.2696 | 1.0000 | ||
| 0.0940 | 0.7956 | 1.0000 |
Council health planning team's correlation analysis
| District a | District b | District c | |
|---|---|---|---|
| District a | 1.0000 | ||
| District b | 0.5811 | 1.0000 | |
| District c | -0.0972 | 0.3542 | 1.0000 |
All districts combined scored ranking correlation analysis
| GPG | RCHS | CHPT | |
|---|---|---|---|
| GPG | 1.0000 | ||
| RCHS | -0.2683 | 1.0000 | |
| CHPT | 0.3468 | -0.1014 | 1.0000 |