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2.
researchsquare; 2021.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-1120913.v1

ABSTRACT

Background: Recent disruption of medical oxygen during second wave of COVID-19 has caused nationwide panic. This study attempts to objectively analyze the medical oxygen supply chain in India along the principles of value stream mapping (VSM), identify bottlenecks and recommend systemic improvements. Methodology: Process mapping of the medical oxygen supply chain in India was done. Different licenses & approvals, their conditions, compliances, renewals among others were factored-in. All relevant circulars, official orders, amendments and gazette notifications pertaining to medical oxygen since April 2020 were studied and corroborated with information from PESO official website. Findings: All steps of medical oxygen supply chain right from oxygen manufacture to filling, storage and transport up to the end users; have regulatory bottlenecks. Consequently flow of materials is sluggish and very poor information flow has aggravated the inherent inefficiencies of the system. Government of India has been loosening regulatory norms at every stage, which is reactive rather than proactive policy making. Discussion: Regulatory bottlenecks have indirectly fuelled the informal sector over the years, which is not under Government’s control. This has also caused difficulties in clamping down black-marketing and hoarding. Technology enabled, data-driven regulatory processes with minimum discretionary human interface is the way to go.


Subject(s)
COVID-19
4.
J Family Med Prim Care ; 10(8): 3047-3050, 2021 Aug.
Article in English | MEDLINE | ID: covidwho-1456417

ABSTRACT

BACKGROUND: Currently, there is no data on the impact of COVID-19 on patients' income and work in India. METHODS: We conducted a cross-sectional study at a tertiary hospital in New Delhi. We included all the patients who were ≥18 years of age and consecutively diagnosed with COVID-19 between the 1st of May 2020 to 31st July 2020. Patients were interviewed by a physician using a semi-structure questionnaire. Data were collected on socio-economic status, occupation, income loss, leaves taken, decrease in work efficiency (self-perceived) and about-facing any stigma/discrimination at the workplace. RESULTS: Out of 245 patients, 190 patients were employed. A total of 126 patients (66.3%) self-reported their work was affected due to COVID-19 disease. A total of 30.5% of patients (n = 58/190) reported deduction in their salary. The median amount of salary loss was INR 10,000 (IQR 9000-25000). Decrease in income and work efficiency (self-perceived) was found to be 37.3% (n = 71) and 12.1% (n = 23), respectively. A total of 47 patients (37.3%) took personal leaves (median number - 17 days (IQR 14-25), and discrimination/stigma related to the COVID-19 at the workplace was faced by 22.6% of patients. CONCLUSION: Income and work of a substantial number of patients was affected due to COVID-19, as there was a decrease in income and work efficiency. Patients also had to take personal leaves and face stigma in the workplace. This will inform the policymakers to formulate strategies to mitigate the impact of COVID-19.

5.
Digit Health ; 7: 20552076211040987, 2021.
Article in English | MEDLINE | ID: covidwho-1448155

ABSTRACT

BACKGROUND: One of the challenges has been coping with an increasing need for COVID-19 testing. A COVID-19 screening and testing facility was created. There was a need for increasing throughput of the facility within the existing space and limited resources. Discrete event simulation was used to address this challenge. METHODOLOGY: A cross-sectional interventional study was done from September 2020 to October 2020. Detailed process mapping with all micro-processes was done. Patient arrival patterns and time taken at each step were measured by two independent observers at random intervals over two weeks. The existing system was simulated and a bottleneck was identified. Two possible alternatives to the problem were simulated and evaluated. RESULTS: Scenario 1 showed a maximum throughput of 316. The average milestone times of all the processes after the step of "Preparation of sampling kits" jumped 62%; from 82 to 133 min. Staff state times also showed that staff at this step was stretched and medical lab technicians were underutilized. Scenario 2 simulated the alternative with lesser time spent on sampling kit preparation with a 22.4% increase in throughput, but could have led to impaired quality check. Scenario 3 simulated with increased manpower at the stage of bottleneck with 26.5% increase in throughput and was implemented on-ground. CONCLUSION: Discrete event simulation helped to identify the bottleneck, simulate possible alternative solutions without disturbing the ongoing work, and finally choose the most suitable intervention to increase throughput, without the need for additional space allocation. It therefore helped to optimally utilize resources and get "more from less."

6.
Indian J Med Res ; 153(1 & 2): 207-213, 2021.
Article in English | MEDLINE | ID: covidwho-1110548

ABSTRACT

Background & objectives: Healthcare workers (HCWs) are considered to be at a high risk of contracting COVID-19 infection. Besides, control of nosocomial infections transmitted from HCWs to the patients is also a cause of concern. This study was undertaken to investigate the seroprevalence of antibodies against the SARS-CoV-2 virus among the hospital staff of a tertiary care health facility in north India. Methods: The HCWs were tested for SARS-CoV-2 serology (IgG+IgM) using chemiluminescence immunoassay between June 22 and July 24, 2020. Venous blood (2 ml) was collected and tested for SARS-CoV-2 IgG and IgM antibodies. Results: Of the 3739 HCWs tested, 487 (13%) were positive for total SARS-CoV-2 antibodies. The highest seroprevalence was observed in administrative staff (19.6%) and least in physicians (5.4%). The staff who used public (20%) and hospital transportation (16.9%) showed higher seroprevalence compared to staff using personal transportation (12.4%). No difference was observed between HCWs posted in COVID versus non-COVID areas. All seropositive symptomatic HCWs in our study (53.6%) had mild symptoms, and the remaining 46.4 per cent were asymptomatic. The antibody positivity rate progressively increased from 7.0 per cent in the first week to 18.6 per cent in the fourth week during the study. Interpretation & conclusions: The presence of antibodies to SARS-CoV-2 in a significant number of asymptomatic HCWs, association with the use of public transport, relatively lower seroprevalence compared with the non-HCWs and rising trend during the period of the study highlight the need for serosurveillance, creating awareness for infection control practices including social distancing and study of infection dynamics in the community for effective control of an infectious pandemic.


Subject(s)
Antibodies, Viral/blood , COVID-19/diagnosis , Health Personnel , Infection Control , COVID-19/blood , Humans , Immunoglobulin G/blood , Immunoglobulin M/blood , India/epidemiology , SARS-CoV-2 , Seroepidemiologic Studies , Tertiary Healthcare
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