| Literature DB >> 32514297 |
Jai K Das1, Zahra Ali Padhani1, Sultana Jabeen1, Arjumand Rizvi2, Uzair Ansari2, Malika Fatima1, Ghulam Akbar2, Wardah Ahmed1, Zulfiqar A Bhutta3,4.
Abstract
INTRODUCTION: In conflict affected countries, healthcare delivery remains a huge concern. Pakistan is one country engulfed with conflict spanning various areas and time spans. We aimed to explore the effect of conflict on provision of reproductive, maternal, newborn, child and adolescent health and nutrition (RMNCAH&N) services and describe the contextual factors influencing the prioritization and implementation in conflict affected areas of Pakistan (Balochistan and FATA).Entities:
Keywords: Balochistan; Child health; Conflict; FATA; Humanitarian; Maternal health; Nutrition; Pakistan
Year: 2020 PMID: 32514297 PMCID: PMC7254751 DOI: 10.1186/s13031-020-00271-3
Source DB: PubMed Journal: Confl Health ISSN: 1752-1505 Impact factor: 2.723
Fig. 1Conflict timeline of Pakistan
Fig. 2Conflict related events and battle related deaths in Pakistan
Geographic Focus and History of Conflict
| The geographic focus of this study is on the province of Balochistan and the tribal areas of FATA. Balochistan is the largest province of Pakistan which covers an area of 347,190 km2 [ | |
| FATA with a population of 5,001,676 people [ |
Fig. 3Geographic distribution of Battle related deaths in Pakistan
Demographic characteristics of selected study sites
| Balochistan | FATA | |
|---|---|---|
| 347,190 sq. km. | 27,224 sq. km | |
| 12,344,408 | 5,001,676 | |
| 2698 | 23,575 | |
| 668b | 201c | |
| 14.0 | 13.7 | |
| 47.9 | 66.4 | |
| 4.0 | 4.8 | |
| 17.1 | 50 | |
| 26.7 | 38.5 | |
| 38.2 | 52.1 | |
| 34.6 | 49.1 | |
| 37.9 | 31.8 | |
| 46.6 | 54.9 | |
| 57.1 | 82.5 | |
| 40.1 | 46.7 | |
| 33.3 | 34.5 | |
| 28.8 | 30.4 | |
| 58 | 32 | |
| 62.2 | 70.6 | |
| 60 | 62.9 | |
| 95 | 48 | |
| 51 | 23.9 | |
Key: a: Pakistan census 2017; b: Health Facility Assessment – Balochistan Provincial Report 2012; c: Health Facility Assessment – FATA Provincial Report 2012; d: Pakistan Demographic Survey 2017–2018
PNC Post natal care, BCG Bacille Calmette-Guérin, ARI Acute respiratory infection), ORS Oral Rehydration Solution
Fig. 4Mean Difference in the intervention coverage of Balochistan by conflict status from 2006 to 2012
Multivariate analysis for Balochistan for the years 2006–2012
| Outcomes | Conflict Type | Bivariate | Adjusted | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Minimal | Ref. | Ref. | |||||||
| Moderate | 0.80 | 0.42 | 1.55 | 0.512 | 0.88 | 0.48 | 1.62 | 0.686 | |
| Severe | 0.42 | 0.28 | 0.63 | < 0.0001 | 0.51 | 0.35 | 0.76 | 0.001 | |
| Minimal | Ref. | Ref. | |||||||
| Moderate | 0.86 | 0.45 | 1.63 | 0.638 | 0.95 | 0.52 | 1.72 | 0.854 | |
| Severe | 0.51 | 0.34 | 0.78 | 0.002 | 0.63 | 0.43 | 0.93 | 0.019 | |
| Minimal | Ref. | Ref. | |||||||
| Moderate | 1.10 | 0.67 | 1.81 | 0.709 | 1.46 | 0.93 | 2.31 | 0.100 | |
| Severe | 0.66 | 0.35 | 1.28 | 0.218 | 0.92 | 0.57 | 1.49 | 0.740 | |
| Minimal | Ref. | Ref. | |||||||
| Moderate | 1.33 | 0.82 | 2.14 | 0.244 | 1.70 | 0.99 | 2.92 | 0.054 | |
| Severe | 0.23 | 0.11 | 0.46 | < 0.0001 | 0.28 | 0.16 | 0.48 | < 0.0001 | |
| Minimal | Ref. | Ref. | |||||||
| Moderate | 1.24 | 0.76 | 2.01 | 0.389 | 1.59 | 0.91 | 2.78 | 0.101 | |
| Severe | 0.33 | 0.16 | 0.68 | 0.003 | 0.42 | 0.25 | 0.72 | 0.001 | |
| Minimal | Ref. | Ref. | |||||||
| Moderate | 1.89 | 0.74 | 4.85 | 0.183 | 2.33 | 0.86 | 6.3 | 0.094 | |
| Severe | 0.34 | 0.12 | 0.96 | 0.041 | 0.38 | 0.15 | 0.94 | 0.036 | |
| Minimal | Ref. | Ref. | |||||||
| Moderate | 0.84 | 0.41 | 1.74 | 0.643 | 0.96 | 0.47 | 1.97 | 0.917 | |
| Severe | 0.48 | 0.17 | 1.39 | 0.174 | 0.54 | 0.21 | 1.4 | 0.200 | |
| Minimal | Ref. | Ref. | |||||||
| Moderate | 1.41 | 0.53 | 3.73 | 0.486 | 1.61 | 0.64 | 4.06 | 0.311 | |
| Severe | 1.76 | 0.70 | 4.44 | 0.232 | 2.01 | 0.74 | 5.46 | 0.169 | |
| Minimal | Ref. | Ref. | |||||||
| Moderate | 0.54 | 0.19 | 1.58 | 0.258 | 0.71 | 0.25 | 2.05 | 0.524 | |
| Severe | 0.22 | 0.08 | 0.64 | 0.006 | 0.28 | 0.1 | 0.83 | 0.022 | |
| Minimal | Ref. | Ref. | |||||||
| Moderate | 0.61 | 0.28 | 1.31 | 0.203 | 0.75 | 0.38 | 1.46 | 0.395 | |
| Severe | 0.55 | 0.28 | 1.08 | 0.083 | 0.64 | 0.31 | 1.31 | 0.223 | |
| Minimal | Ref. | Ref. | |||||||
| Moderate | 0.79 | 0.41 | 1.51 | 0.465 | 0.81 | 0.44 | 1.5 | 0.501 | |
| Severe | 0.81 | 0.47 | 1.39 | 0.440 | 0.86 | 0.51 | 1.46 | 0.578 | |
| Minimal | Ref. | Ref. | |||||||
| Moderate | 0.81 | 0.35 | 1.88 | 0.625 | 0.96 | 0.42 | 2.21 | 0.918 | |
| Severe | 0.27 | 0.11 | 0.70 | 0.007 | 0.28 | 0.1 | 0.77 | 0.015 | |
Participant Demographics of Key Informant Interviews
| Variable | Key Informant Interviews | |
|---|---|---|
| Number | (%) | |
| Number of participants | 39 | |
| Balochistan | 18 | (46.1) |
| FATA | 18 | (46.1) |
| Islamabad | 03 | (7.6) |
| Male | 35 | (89.7) |
| Female | 04 | (10.2) |
| 20–30 | 05 | (12.8) |
| 31–40 | 09 | (23) |
| 41–60 | 23 | (58.9) |
| Missing Values | 02 | (5.1) |
| Secondary Education | 00 | (00) |
| Graduate | 12 | (30.7) |
| Masters or Other Advanced Degree | 27 | (69.2) |
| Below 10 | 07 | (17.9) |
| 10–20 | 15 | (38.4) |
| 21–30 | 12 | (30.7) |
| 30 Above | 04 | (10.2) |
| Missing Values | 01 | (2.5) |
| Development Partners | 03 | (7.6) |
| Government | 26 | (66.6) |
| NGOs | 08 | (20.5) |
| Academia | 02 | (5.1) |
| Center Based | 15 | (38.4) |
| District Based | 14 | (35.8) |
| Facility Based | 08 | (20.5) |
| Academia | 02 | (5.1) |
FATA Federally Administered Tribal Areas, NGOs Non- governmental Organizations
Fig. 5Themes and Categories from Key Informant Interviews
Facilitators, barriers and recommendation affecting health system in conflict areas of Pakistan
| Facilitators | Barriers | Recommendations | |
|---|---|---|---|
| Health Workforce | - Hiring of qualified local people along with incentives for retention | - Lack of female health workers | - Hire more female staff and reduce gender imbalance |
| - Absenteeism and lack of capacity of healthcare staff | |||
| - Workers hired from outside face language and cultural issues | - Send female staff on rotation basis to conflict areas | ||
| - Political influence and favoritism | - Hire local people and provide adequate training | ||
| - Security threats | - Provide housing and basic necessities | ||
| - Low salaries | - Merit based hiring | ||
| - Absence of accommodation and basic facilities for doctors | - Doctors or staff to provide replacements when going on leave | ||
| - Quacks are preferred by people over doctors | |||
| Service Delivery | - Secondary facilities relatively well maintained | - Non-functional healthcare facilities | - SOPs should be implemented |
| - Establishment of various new primary and secondary healthcare facilities | - Poor infrastructure | - Work on infrastructure for the uptake of health care intervention | |
| - Political influence | |||
| - Ambulatory service with staff care | - Quality of care compromised | - Stringent monitoring mechanisms using technology | |
| - Midwives and lady health workers visit homes | - Unavailability of transport for staff | ||
| - Service of institutional deliveries in presence of skilled birth attendant | - Changing demographic pattern | - Improve community awareness and mobilization activities | |
| - No arrangements for transport of complicated cases | |||
| - Social mobilization activities | - Improving LHWs functionality | ||
| Supplies and Commodities | - Different donors provide different supplies and services | - Curfews during the conflict blocked supplies to the facilities | - Procurement decisions at the district level |
| - Procurement systems to simplified and made efficient | |||
| - Enough supplies were provided | - Insufficient supply for commonly used drugs | ||
| - Delay in supplies from government | - Strict monitoring | ||
| - Supplements sold in open market | |||
| - Allocation of budget for medicines not revised according to present needs | |||
| - Absence of diagnostic facilities | |||
| Monitoring and Reporting | - Before and after surveys sometimes conducted | - Poor quality of data | - Promote E-Health |
| - Internal monitoring was done | - No record of training or equipment distribution | - Improve quality of data | |
| - Third party monitoring on monthly basis for Polio | - Preference of manual work over computer use | - Do situational analysis before implementation | |
| - DHIS system for reporting | - Data not used for decision making | - Data to be used for decision | |
| Finances | - Funding is done by donors and the government | - Delay in release of funds from the donors | - To ensure sustainability of funding for existing programs |
| Cluster meetings | - Seminars held for coordination | - Not regularly held for most programs | - Regular cluster meetings for all issues |
| - Regular meetings held for Polio at district and provincial level | - Improve communication between center and district | ||
| Natural Disaster | - Disaster management authority present at provincial level | - Improve the functionality | |
| - Nutrition plan for emergency situations present | |||
| Epidemics | - Disease Surveillance and Response Unit in FATA | - Proper forecasting and pre-emptive measures |
LHW, Lady Health Workers, SOPs Standard Operating Procedure, MnE Monitoring and Evaluation, DHIS District Health Information System