BackgroundHealth-related millennium development goals are off track in most of the countries in the sub-Saharan African region. Lack of access to, and low utilization of essential services and high-impact interventions, together with poor quality of health services, may be partially responsible for this lack of progress. We explored whether improvement approaches can be applied to increase utilization of antenatal care (ANC), health facility deliveries, prevention of mother-to-child transmission services and adherence to ANC standards of care in a rural district in Kenya. We targeted improvement of ANC services because ANC is a vital point of entry for most high-impact interventions targeting the pregnant mother.MethodsHealthcare workers in 21 public health facilities in Kwale District, Kenya formed improvement teams that met regularly to examine performance gaps in service delivery, identify root causes of such gaps, then develop and implement change ideas to address the gaps. Data were collected and entered into routine government registers by the teams on a daily basis. Data were abstracted from the government registers monthly to evaluate 20 indicators of care quality for improvement activities. For the purposes of this study, aggregate data for the district were collected from the District Health Management Office.ResultsThe number of pregnant mothers starting ANC within the first trimester and those completing at least four ANC checkups increased significantly (from 41 (8%) to 118 (24%) p=0.002 and from 186 (37%) to 316 (64%) p<0.001, respectively). The proportions of ANC visits in which provision of care adhered to the required standards increased from <40% to 80-100% within three to six months (X2 for trend 4.07, p<0.001). There was also a significant increase in the number of pregnant women delivering in health facilities each month from 164 (33%) to 259 (52%) (p=0.012).ConclusionImprovement approaches can be applied in rural health care facilities in low-income settings to increase utilization of services and adherence to standards of care. Using the quality improvement methodology to target integrated health services is feasible. Longer follow-up periods are needed to gather more evidence on the sustainability of quality improvement initiatives in low-income countries.Electronic supplementary materialThe online version of this article (doi:10.1186/1472-6963-14-416) contains supplementary material, which is available to authorized users.

BackgroundProlonged wait times prior to triage outside the emergency department (ED) were a major problem at our institution, compromising patient safety. Patients often waited for hours outside the ED in hot weather leading to exhaustion and clinical deterioration. The aim was to decrease the median waiting time to triage from 50 min outside ED for patients to <30 min over a 4-month period.MethodsA quality improvement (QI) team was formed. Data on waiting time to triage were collected between 12 pm and 1 pm. Data were collected by hospital attendants and recorded manually. T1 was noted as a time of arrival outside the ED, and T2 was noted as the time of first medical contact. The QI team used plan–do–study–act cycles to test solutions. Change ideas to address these gaps were tested during May and June 2018. Change ideas were focused on improving the knowledge and skills of staff posted in triage and reducing turnover of triage staff. Data were analysed using run chart rules.ResultsWithin 6 weeks, the waiting time to triage reduced to <30 min (median, 12 min; IQR, 11 min) and this improvement was sustained for the next 8 weeks despite an increase in patient load.ConclusionThe authors demonstrated that people new to QI could use improvement methods to address a specific problem. It was the commitment of the frontline staff, with the active support of senior leadership in the department that helped this effort succeed.

Neonatal hypothermia is a common and dangerous condition around the world. 70% of neonates born in Kalawati Saran Children’s Hospital in New Delhi, India, and subsequently admitted to the neonatal intensive care unit (NICU) had a temperature below 36.5°C on admission. In July 2016, we formed a team of staff from the labour room, NICU and auxiliary staff to reduce hypothermia in babies transported to our NICU using quality improvement methods. We identified problems related to staff awareness of hypothermia and its dangers, environmental factors and supply issues in the labour room, and challenges with rapidly and safely transferring sick newborns to the NICU. We used the Plan-Do-Study-Act cycles to test and adapt solutions to these problems. Because infection is a common complication of hypothermia, we also instituted a training programme to improve handwashing skills among parents and health workers. Within 9 months of starting our quality improvement project, the proportion of neonates who were normothermic on admission increased from 27% to 75%, the number of cases of late-onset neonatal sepsis decreased from 15.2 to 5 cases/1000 patient days, and all-cause mortality fell from 4.2 to 2.6 neonatal deaths per week. Multiple factors can lead to neonatal hypothermia, and the most important factors will differ from facility to facility. Quality improvement methods provide health workers with the skills to identify the key factors contributing to hypothermia in their facility and to develop strategies to address them. Addressing processes of care can lead to improved thermal care and save lives.

IntroductionFailure of early identification of sepsis in the emergency department (ED) leads to significant delays in antibiotic administration which adversely affects patient outcomes.AimThe primary objective of our Quality Improvement (QI) project was to reduce the door-to-antibiotic time (DTAT) by 30% from the preintervention in patients with suspected sepsis. Secondary objectives were to increase the blood culture collection rate by 30% from preintervention, investigate the predictors of improving DTAT and study the effect of these interventions on 24-hour in-hospital mortality.MethodsThis QI project was conducted in the ED of a tertiary care teaching hospital of North India; the ED receives approximately 400 patients per day. Adult patients with suspected sepsis presenting to our ED were included in the study, between January 2019 and December 2020. The study was divided into three phases; preintervention phase (100 patients), intervention phase (100 patients) and postintervention phase (93 patients). DTAT and blood cultures prior to antibiotic administration was recorded for all patients. Blood culture yield and 24-hour in-hospital mortality were also recorded using standard data templates. Change ideas planned by the Sepsis QI Team were implemented after conducting plan-do-study-act cycles.ResultsThe median DTAT reduced from 155 min in preintervention phase to 78 min in postintervention phase. Drawing of blood cultures prior to antibiotic administration improved by 67%. Application of novel screening tool at triage was found to be an independent predictor of reduced DTAT.ConclusionOur QI project identified the existing lacunae in implementation of the sepsis bundle which were dealt with in a stepwise manner. The sepsis screening tool and on-site training improved care of patients with sepsis. A similar approach can be used to deal with complex quality issues in other high-volume low-resource settings.

Palm-Vein Biometric Authentication system is a physiological pattern recognition technique that uses the vein patterns of an individual's palm for providing authentication. This paper presents a comprehensive comparative study of basic transforms: PCA (Principal Component Analysis), DCT, DST, Walsh-Hadamard and Slant for Palm Vein recognition. These transforms were implemented on a database consisting of 576 images, containing unmodified as well as modified images after noise introduction, brightness and contrast changes in the original images. Performance evaluation metrics FAR (False Acceptance rate), FRR (False Rejection Rate) and EER (Equal Error Rate) have been obtained. Then, comparative analysis of these methods has been done on the basis of performance evaluation metrics obtained, robustness of implemented system, feature vector size and time taken for execution. Results obtained showed that Walsh-Hadamard transform performs the best and can be successfully used for Palm Vein biometrics.