Development of Hierarchy of Settlements of Health Facility of Rashmi Block of Chittaurgarh District-Using Gis

2012 ◽  
Vol 2 (4) ◽  
pp. 191-192
Author(s):  
Premlata Swarnakar ◽  
Keyword(s):  
Health Facility

The quantitative and qualitative contributions of faith based organizations to healthcare: The Kenya case

2017 ◽  
Vol 4 (3) ◽  
pp. 60-71 ◽  
Author(s):  
Alfredo Fort
Keyword(s):  
Health Facility ◽  
Management Practices ◽  
Developing World ◽  
Weighted Average ◽  
Relative Strength ◽  
For Profit ◽  
Faith Based ◽  
Non Governmental Organizations ◽  
Faith Based Organizations ◽  
The Government

Though difficult to ascertain because faith based organizations (FBOs) might keep a low profile, be confused with other non-governmental organizations (NGOs), or survey respondents may not know the nature of facilities attended to, these organizations have a long presence in teaching health personnel and delivering health services in many rural and remote populations in the developing world. It is argued that their large networks, logistics agreements with governments, and mission-driven stance brings them closer to the communities they serve, and their services believed of higher quality than average. Kenya has a long history of established FBOs substantial recent health investment by the government. We aimed to find the quantitative and qualitative contributions of FBOs by analyzing two recent data sources: the live web-based nationwide Master Health Facility List, and the 2010 nationwide Service Provision Assessment (SPA) survey. Using this information, we found that FBOs contribute to 11% of all health facilities’ presence in the country, doubling to 23% of all available beds, indicating their relative strength in owning mid-level hospitals around the country. We also constructed an index of readiness as a weighted average from services offered, good management practices and availability of medicines and commodities for 17 items assessed during the SPA survey. We found that FBOs topped the list of managing authorities, with 70 percent of health facility readiness, followed closely by the government at 69 percent, NGOs at 61 percent and lastly a distant private for profit sector at 50 percent. These results seem to indicate that FBOs continue to contribute to an important proportion of health care coverage in Kenya, and that they do so with a relatively high quality of care among all actors. It would be of interest to replicate the analysis with similar databases for other countries in the developing world.

scholarly journals Understanding what women want: eliciting preference for delivery health facility in a rural subcounty in Kenya, a discrete choice experiment

BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e038865
Author(s):  
Jackline Oluoch-Aridi ◽  
Mary B Adam ◽  
Francis Wafula ◽  
Gilbert Kokwaro
Keyword(s):  
Quality Of Care ◽  
Health Facility ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Home Delivery ◽  
Process Indicator ◽  
Opt Out ◽  
Women’S Preferences

ObjectiveTo identify what women want in a delivery health facility and how they rank the attributes that influence the choice of a place of delivery.DesignA discrete choice experiment (DCE) was conducted to elicit rural women’s preferences for choice of delivery health facility. Data were analysed using a conditional logit model to evaluate the relative importance of the selected attributes. A mixed multinomial model evaluated how interactions with sociodemographic variables influence the choice of the selected attributes.SettingSix health facilities in a rural subcounty.ParticipantsWomen aged 18–49 years who had delivered within 6 weeks.Primary outcomeThe DCE required women to select from hypothetical health facility A or B or opt-out alternative.ResultsA total of 474 participants were sampled, 466 participants completed the survey (response rate 98%). The attribute with the strongest association with health facility preference was having a kind and supportive healthcare worker (β=1.184, p<0.001), second availability of medical equipment and drug supplies (β=1.073, p<0.001) and third quality of clinical services (β=0.826, p<0.001). Distance, availability of referral services and costs were ranked fourth, fifth and sixth, respectively (β=0.457, p<0.001; β=0.266, p<0.001; and β=0.000018, p<0.001). The opt-out alternative ranked last suggesting a disutility for home delivery (β=−0.849, p<0.001).ConclusionThe most highly valued attribute was a process indicator of quality of care followed by technical indicators. Policymakers need to consider women’s preferences to inform strategies that are person centred and lead to improvements in quality of care during delivery.

scholarly journals Safer primary healthcare facilities are needed to protect healthcare workers and maintain essential services: lessons learned from a multicountry COVID-19 emergency response initiative

2021 ◽  
Vol 6 (6) ◽  
pp. e005833
Author(s):  
Leena N Patel ◽  
Samantha Kozikott ◽  
Rodrigue Ilboudo ◽  
Moreen Kamateeka ◽  
Mohammed Lamorde ◽  
...  
Keyword(s):  
Health Facility ◽  
Healthcare Workers ◽  
National Level ◽  
Lessons Learned ◽  
Health Facilities ◽  
Infection Prevention And Control ◽  
Health Facility Level ◽  
Ensure Patient Safety ◽  
Increased Risk ◽  
Facility Level

Healthcare workers (HCWs) are at increased risk of infection from SARS-CoV-2 and other disease pathogens, which take a disproportionate toll on HCWs, with substantial cost to health systems. Improved infection prevention and control (IPC) programmes can protect HCWs, especially in resource-limited settings where the health workforce is scarcest, and ensure patient safety and continuity of essential health services. In response to the COVID-19 pandemic, we collaborated with ministries of health and development partners to implement an emergency initiative for HCWs at the primary health facility level in 22 African countries. Between April 2020 and January 2021, the initiative trained 42 058 front-line HCWs from 8444 health facilities, supported longitudinal supervision and monitoring visits guided by a standardised monitoring tool, and provided resources including personal protective equipment (PPE). We documented significant short-term improvements in IPC performance, but gaps remain. Suspected HCW infections peaked at 41.5% among HCWs screened at monitored facilities in July 2020 during the first wave of the pandemic in Africa. Disease-specific emergency responses are not the optimal approach. Comprehensive, sustainable IPC programmes are needed. IPC needs to be incorporated into all HCW training programmes and combined with supportive supervision and mentorship. Strengthened data systems on IPC are needed to guide improvements at the health facility level and to inform policy development at the national level, along with investments in infrastructure and sustainable supplies of PPE. Multimodal strategies to improve IPC are critical to make health facilities safer and to protect HCWs and the communities they serve.

scholarly journals Sterilization regret in India: Is quality of care a matter of concern?

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Anjali Bansal ◽  
Laxmi Kant Dwivedi
Keyword(s):  
Quality Of Care ◽  
Family Planning ◽  
Health Facility ◽  
Fold Increase ◽  
Well Being ◽  
Poor Quality ◽  
Public Health Facility ◽  
The Family ◽  
Planning Methods

Abstract Background According to United Nations, 19% of females in the world relied only on the permanent method of family planning, with 37% in India according to NFHS-4. Limited studies tried to measure the sterilization regret, and its correlated factors. The study tried to explore the trend of sterilization regret in India from 1992 to 2015 and to elicit the determining effects of various factors on sterilization regret, especially in context to perceived quality of care in the sterilization operations and type of providers. Data and methods The pooled data from NFHS-1, NFHS-3 and NFHS-4 was used to explore the regret by creating interaction between time and all the predictors. Predicted probabilities were calculated to show the trend of sterilization regret amounting to quality of care, type of health provider at the three time periods. Results The sterilization regret was increased from 5 % in NFHS-1 to 7 % in NFHS-4. According to NFHS-4, for those whose sterilization was performed in private health facility the regret was found to be less (OR-0.937; 95% CI- (0.882–0.996)) compared to public health facility. Also, the results show a two-fold increase in regret when women reported bad quality of care. The results from predicted probabilities provide enough evidence that the regret due to bad quality of care in sterilization operation had increased with each subsequent round of NFHS. Conclusion Many socio-economic and demographic factors have influenced the regret, but the poor quality of care contributed maximum to the regret from 1992 to 2015. The health facilities have seriously strayed from improving the health and well-being of women in providing the family planning methods. In addition, to public facilities, the regret amounting to private facilities have also increased from NFHS-1 to 4. The quality of care provided in the family planning operation should be standardized in every hospital to strengthen the health systems in the country. The couple should be motivated to adopt more of spacing methods.

scholarly journals Improving Tanzanian childbirth service quality

2018 ◽  
Vol 31 (3) ◽  
pp. 190-202 ◽  
Author(s):  
Jennie Jaribu ◽  
Suzanne Penfold ◽  
Cathy Green ◽  
Fatuma Manzi ◽  
Joanna Schellenberg
Keyword(s):  
Health Facility ◽  
Low Income ◽  
Healthcare Providers ◽  
Health Facilities ◽  
Rural District ◽  
Local Data ◽  
Content Type ◽  
Primary Health ◽  
Primary Health Facilities ◽  
Childbirth Care

Purpose The purpose of this paper is to describe a quality improvement (QI) intervention in primary health facilities providing childbirth care in rural Southern Tanzania. Design/methodology/approach A QI collaborative model involving district managers and health facility staff was piloted for 6 months in 4 health facilities in Mtwara Rural district and implemented for 18 months in 23 primary health facilities in Ruangwa district. The model brings together healthcare providers from different health facilities in interactive workshops by: applying QI methods to generate and test change ideas in their own facilities; using local data to monitor improvement and decision making; and health facility supervision visits by project and district mentors. The topics for improving childbirth were deliveries and partographs. Findings Median monthly deliveries increased in 4 months from 38 (IQR 37-40) to 65 (IQR 53-71) in Mtwara Rural district, and in 17 months in Ruangwa district from 110 (IQR 103-125) to 161 (IQR 148-174). In Ruangwa health facilities, the women for whom partographs were used to monitor labour progress increased from 10 to 57 per cent in 17 months. Research limitations/implications The time for QI innovation, testing and implementation phases was limited, and the study only looked at trends. The outcomes were limited to process rather than health outcome measures. Originality/value Healthcare providers became confident in the QI method through engagement, generating and testing their own change ideas, and observing improvements. The findings suggest that implementing a QI initiative is feasible in rural, low-income settings.

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