More Bang for Your Buck: Best-Practice Recommendations for Designing, Implementing, and Evaluating Job Creation Studies

This paper discusses the application of robust experimental research methodologies that help to provide a better understanding of the mechanisms of the Theory of Change, for which training programs and/or matching grants improve job creation in micro, small, and medium-sized enterprises (MSMEs and SMEs). The literature on both interventions, such as training and matching grants, recognizes methodological flaws that hamper achieving enough statistical evidence to test the aforementioned Theory of Change. A better understanding of the interventions and the mechanisms to create jobs has become critical to ensure the resurgence of the global economy after the COVID-19 pandemic and to face the threat of the upcoming industrial revolution. This paper proposes seven methodological meliorations in impact evaluation that will help to set improvements alongside the full process of a project: designing superior policies and programs, implementing projects, supporting the finer assessment of interventions, and establishing the subsequent advancement of science in testing solutions for job creation. © 2023, The Author(s).

Maritime Disruption Impact Evaluation Using Simulation and Big Data Analytics

Disruptions in maritime networks may cause significant financial burden and damage to business. Recently, some international ports have been experiencing unprecedented congestions due to the COVID19 pandemic and other disruptions. It is paramount for the maritime industry to further enhance the capability to assess and predict impacts of disruptions. With more data available from industrial digitization and more advanced technologies developed for big data analytics and simulation, it is possible to build up such capability. In this study, we developed a discrete event simulation model backed with big data analytics for realistic and valid inputs to assess impacts of the Suez Canal blockage to the Port of Singapore. The simulation results reveal an interesting finding that, the blockage occurred in the Suez Canal can hardly cause significant congestion in the Port of Singapore. The work can be extended to evaluate impacts of other types of disruptions, even occurring concurrently. © 2022 IEEE.

Evaluation of the First Lap learn to swim voucher programme: protocol.

INTRODUCTION: Swimming skills are an evidence-based component of drowning prevention. However, in Australia, many children miss out on learn to swim education. Voucher programmes may reduce swimming lesson cost and increase participation, especially among priority populations. The First Lap voucher programme provides two New South Wales state government-funded $100 vouchers for parents/carers of preschool children to contribute to swimming lesson costs. This evaluation aims to determine the effectiveness of the programme in meeting objectives of increasing preschool-aged children participating in learn to swim programmes and building parent/carer knowledge and awareness of the importance of preschool-aged children learning to swim. METHODS AND ANALYSIS: A programme logic model was developed to explain the inputs, activities and intended outputs, and outcomes, which guided this mixed-methods evaluation design of quantitative and qualitative analysis within an impact/outcome evaluation. Baseline sociodemographic registration data will be provided by the parent/carer of each child participant and linked to swim school provider data on voucher redemption. Data will be collected on voucher use, knowledge, and attitudes to swimming lessons at registration and across two surveys. An economic evaluation will assess programme cost-effectiveness. CONCLUSION: This evaluation will determine impacts on participation rates in learn to swim programmes, particularly within priority populations. It will examine whether the programme has influenced attitudes and motivations of parents and carers toward learn to swim programmes and water safety, whether the programme has impacted or enhanced the ability of the aquatics sector to deliver learn to swim programmes and assess its cost-effectiveness.

A Counterfactual Impact Evaluation of EU State Aid in Greece

EU state aid adopted from Member States is increasing at a fast pace due to the Covid-19 pandemic and energy crisis. Given its impact on the European economy, securing a maximum value added is a challenge for both policy makers and public administration. State aid impact depends not only on available resources but also on spending decisions that must be in line with state aid rules. It is believed that new policies would benefit if they were based on assessed evidence of existing policies during periods with similar characteristics. Our contribution analyses the characteristics of Greek development law based on a unique dataset extracted from the management information system of the Ministry of Economy. We hypothesize that there will be a change in firm productivity in the first years since program closure. Using counterfactual impact evaluation and propensity score matching, we find that there is a minor negative impact of development law on productivity. This might be an indication that firms receiving state aid do not perform as expected and perhaps better planning during policy modeling is needed. © 2023, World Scientific and Engineering Academy and Society. All rights reserved.

A Counterfactual Impact Evaluation of EU State Aid in Greece

EU state aid adopted from Member States is increasing at a fast pace due to the Covid-19 pandemic and energy crisis. Given its impact on the European economy, securing a maximum value added is a challenge for both policy makers and public administration. State aid impact depends not only on available resources but also on spending decisions that must be in line with state aid rules. It is believed that new policies would benefit if they were based on assessed evidence of existing policies during periods with similar characteristics. Our contribution analyses the characteristics of Greek development law based on a unique dataset extracted from the management information system of the Ministry of Economy. We hypothesize that there will be a change in firm productivity in the first years since program closure. Using counterfactual impact evaluation and propensity score matching, we find that there is a minor negative impact of development law on productivity. This might be an indication that firms receiving state aid do not perform as expected and perhaps better planning during policy modeling is needed. © 2023, World Scientific and Engineering Academy and Society. All rights reserved.

The use and impact of digital COVID-19 tracking in adult social care: a prospective cohort study of care homes in Greater Manchester.

BACKGROUND: To support proactive care during the coronavirus pandemic, a digital COVID-19 symptom tracker was deployed in Greater Manchester (UK) care homes. This study aimed to understand what factors were associated with the post-uptake use of the tracker and whether the tracker had any effects in controlling the spread of COVID-19. METHODS: Daily data on COVID-19, tracker uptake and use, and other key indicators such as staffing levels, the number of staff self-isolating, availability of personal protective equipment, bed occupancy levels, and any problems in accepting new residents were analysed for 547 care homes across Greater Manchester for the period April 2020 to April 2021. Differences in tracker use across local authorities, types of care homes, and over time were assessed using correlated effects logistic regressions. Differences in numbers of COVID-19 cases in homes adopting versus not adopting the tracker were compared via event design difference-in-difference estimations. RESULTS: Homes adopting the tracker used it on 44% of days post-adoption. Use decreased by 88% after one year of uptake (odds ratio 0.12; 95% confidence interval 0.06-0.28). Use was highest in the locality initiating the project (odds ratio 31.73; 95% CI 3.76-268.05). Care homes owned by a chain had lower use (odds ratio 0.30; 95% CI 0.14-0.63 versus single ownership care homes), and use was not associated with COVID-19 or staffing levels. Tracker uptake had no impact on controlling COVID-19 spread. Staff self-isolating and local area COVID-19 cases were positively associated with lagged COVID-19 spread in care homes (relative risks 1.29; 1.2-1.4 and 1.05; 1.0-1.1, respectively). CONCLUSIONS: The use of the COVID-19 symptom tracker in care homes was not maintained except in Locality 1 and did not appear to reduce the COVID-19 spread. COVID-19 cases in care homes were mainly driven by care home local-area COVID-19 cases and infections among the staff members. Digital deterioration trackers should be co-produced with care home staff, and local authorities should provide long-term support in their adoption and use.

Smart Logistics Systems During COVID-19 Pandemic: Context and Impact Evaluation in Morocco

Pandemics such us COVID-19 are significant outbreaks of infectious diseases, which can spread higher healthy threats, and seriously rise morbidity and mortality over wide populations and cause important economic, social, and political troubles. COVID-19 has triggered high risks among human beings. For that, the infected humans working in manufacturing and logistics systems can lead to complex issues beyond the industrial networks. Smart logistics (SL) systems remain a promising area to form a safe working environment. SL promotes the use of automated assets based on networked sensors which are controlled by suitable intelligent decision-making algorithms. Using SL technologies smooths the release of the whole production process disruption, due to COVID-19, by interconnecting the good and service flows to decrease the severity of the actual industrial chain disruption. Our study presents a novel smart logistics framework to strengthen the production process recovery and build an evaluation model to assess the impacts of SL technologies. We form an optimization model, which allows the planning of SL resources allocation according to the market demands and regarding the severity of the Covid-19 pandemic. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Impacts of COVID-19 pandemic on foreign trade intermodal transport accessibility: Evidence from the Yangtze River Delta region of mainland China.

We address the problem of the impacts of COVID-19 pandemic on foreign trade transport by introducing a foreign trade intermodal transport accessibility (FTITA) index. First, we present the definition of FTITA, which combines the convenience of transporting domestic cargoes to overseas regions by an international intermodal transport network and the trade attractiveness of the domestic cargoes in the overseas regions. Second, we analyze the path choice behaviors of domestic shippers and propose the measurement method of the FTITA index. Finally, using the 41 cities in the Yangtze River Delta region in mainland China as origins and eight overseas regions as destinations, we empirically analyze the impacts of COVID-19 pandemic on the FTITA. With the empirical study conducted in the prepandemic and postpandemic years, we analyzed the overall trends of the FTITAs from the YRD region to eight overseas regions, spatial patterns of the distributions of the FTITAs in the YRD region, rankings of average FTITA values for the top ten cities in the YRD region, and the FTITAs for different cargoes. The results indicate that the FTITAs of the YRD region in the prepandemic year are significantly higher than those in the postpandemic year. Moreover, in both the prepandemic and postpandemic years, the FTITAs to North America, Japan/South Korea, Europe, and Southeast Asia are significantly higher than those to Oceania, Middle East, South America, and Africa. Through analysis of the spatial patterns of the FTITAs across cities in the YRD region, we find that the cities with high FTITA are mainly close to Shanghai Port and Ningbo Port; the cities with middle-high FTITA are mainly located in southern Zhejiang and the regions along the Yangtze River; the cities with middle-low FTITA are mainly located in northern Jiangsu; and the cities with low FTITA are located in northern Anhui. Furthermore, comparing the impacts of COVID-19 pandemic on the FTITAs for different cargoes, we observe that COVID-19 has the least impact on foodstuffs and event cargoes. Our findings can guide decision makers in implementing policies for alleviating the impacts of COVID-19 pandemic on foreign trade transport and further promoting the sustainable development of port and shipping industries.

Linking out-of-hospital deaths with a regional hospital-based firearm injury database: a clinical researcher's guide to accessing data from the National Death Index.

IntroductionFirearm injuries are a public health crisis in the US. The National Death Index (NDI) is a well-established, comprehensive database managed by the National Center for Health Statistics at the CDC. In this methodology paper we describe our experience accessing and linking data from the NDI to our regional, hospital-based violent injury database to identify out-of-hospital deaths from firearms. METHODS: We outline the key steps of our submission to the NDI. Data were collected from research team meeting notes, team member emails with NDI staff, and information provided from the NDI website and supplementary guides. Few of our collaborators or university partner investigators had accessed or used data from the NDI. We discuss the online NDI Processing Portal data request, data preparation and receipt from the NDI, troubleshooting tips, and a timeline of events. RESULTS: Our query to the NDI returned 12 034 records of 12 219 firearm-injured patient records from 2010 and 2019. The record match rate was 98.5%. DISCUSSION: Linking hospital-based data sets with NDI data can provide valuable information on out-of-hospital deaths. This has the potential to improve the quality of longitudinal morbidity and mortality calculations in hospital-based patient cohorts. We encountered logistic and administrative challenges in completing the online NDI Processing Portal and in preparing and receiving data from the NDI. It is our hope that the lessons learnt presented herein will help facilitate easy and streamlined acquisition of valuable NDI data for other clinical researchers. WHAT THIS STUDY ADDS: - A step-by-step guide for clinical researchers of how to apply to access data from the National Death Index (NDI).- Advice and lessons learned on how to efficiently and effectively access data from the NDI.- A well-described methodology to improve the quality of longitudinal morbdity and mortality calculations in hospital-based cohorts of firearm injured patients.What is already known on this subject:- There is a need for robust, longitudinal data sources that reliably track morbidity and mortality among firearm injured patients in the United States.- The NDI is a well-established, comprehensive database that holds death records for all 50 states, which provides valuable mortality data to the public health and medical research community.

Impacts of the Covid-19 crisis on unemployment in Slovakia: a statistically created counterfactual approach using the time series analysis

Research background: The current health crisis, which began to take shape in mid-March 2020 due to the massive spread of the coronavirus SARS-CoV-2, has shaped the face of the Slovak labour market the most. Slovakia, similarly, to other countries in the world, has operated with several non-pharmaceutical anti-pandemic measures taken by the government to reduce the spread of the virus or reverse adverse developments. On the other hand, these measures have frozen production, and business activities of companies annulled not only the number of physical meetings with business collaborators but also business contracts themselves. Consequently, the demand for new labour has decreased, and in many cases, redundancies have occurred. Purpose of the article: The study aims to develop a comprehensive and detailed analysis of unemployment and its development in Slovakia, during the 1st and 2nd wave of the Covid-19 pandemic, determine the extent to which the anti-pandemic measures have affected the Slovak labour market, and identify the most affected groups of unemployed. Methods: To analyze the impact of the anti-pandemic measures on the unemployment situation in Slovakia, we applied the approach where the statistically created hypothetical state of the absence of the pandemic was compared with the real state as the consequence of the pandemic. The hypothetical state was modelled by the autoregressive 1st order or one-dimensional time series model with a linear trend and seasonability. Findings & value added: The results of the analysis identify the groups of the population, mostly affected by the Covid-19 pandemic together with the quantification of the impact on unemployment. The findings of quantification of the impact of the Covid-19 crisis on the Slovak labour market can be further used in creating targeted measures aimed at supporting unemployed individuals or at the sustainability of already existing jobs and in other governmental economic and social decisions.

THE IMPACT OF COVID-19 PANDEMIC ON THE HEALTHCARE SYSTEM IN LOMBARDY

This chapter aims to provide suggestive evidence on how the Lombardy region dealt with the COVID-19 pandemic in 2020 and discuss future challenges for the Lombardy healthcare system. After an introduction to the wide spread of the virus inside the region, we describe the Lombardy health system so the reader may understand the context in which the virus has taken hold so quickly. The pandemic has heavily stressed the system, mainly because Lombardy experienced an excess of hospital admissions. We have considered the increased mortality rate as a proxy of the proper managing of the COVID-19 pandemic. In addition, we describe the process of treating non-COVID patients, such as those affected by acute myocardial infarction (AMI), stroke and oncological diseases. Despite the pandemic, hospitals have been able to guarantee a high level of performance. A discussion of the future evolution of the healthcare system concludes this chapter. © 2022 by Emerald Publishing Limited.

Allowance for School Graduate Practice Performance in Slovakia: Impact Evaluation of the Intervention

This study aims to evaluate the impact of a selected active labour market policy measure that has been applied in Slovakia—Allowance for school graduate practice performance—on the employability of young jobseekers and their sustainability in the labour market, and thus, it will also empirically contribute to the field of relevant literature. The policy targets unemployed school graduates, and it enables them to acquire professional skills and practical experience that corresponds with their level of education, work habits, and possible direct contact with potential employers. At the same time, this measure addresses a long-standing gap in the Slovakian education system, namely, the insufficient linkages between the educational process, the practices in the field, and the requirements of the labour market. Using fiscal resources to finance this policy, it provides a natural and logical platform to investigate the relevance of the outcome of this measure in the context of its proclaimed objectives. In light of this, we employed a counterfactual approach to compare the results of the participants who were affected the measure (recipients;treated group) and non-participants, as their counterparts (comparison/control group), using an instrumental variable to mitigate self-selection and selection-bias problems. Our findings show that this policy intervention has a short- or medium-term impact on the employability of unemployed school graduates and the sustainability of their careers. In addition, a positive impact on their monthly wages was observed. We also came to the conclusion that, assuming the measure is linked to other labour market policy interventions, which is aimed at employers that are willing to hire young unemployed people, it would be possible to improve the functionality and effectiveness of support for the unemployed through indirect measures.

Methods for Evaluating Environmental Health Impacts at Different Stages of the Policy Process in Cities.

PURPOSE OF REVIEW: Evaluating the environmental health impacts of urban policies is critical for developing and implementing policies that lead to more healthy and equitable cities. This article aims to (1) identify research questions commonly used when evaluating the health impacts of urban policies at different stages of the policy process, (2) describe commonly used methods, and (3) discuss challenges, opportunities, and future directions. RECENT FINDINGS: In the diagnosis and design stages of the policy process, research questions aim to characterize environmental problems affecting human health and to estimate the potential impacts of new policies. Simulation methods using existing exposure-response information to estimate health impacts predominate at these stages of the policy process. In subsequent stages, e.g., during implementation, research questions aim to understand the actual policy impacts. Simulation methods or observational methods, which rely on experimental data gathered in the study area to assess the effectiveness of the policy, can be applied at these stages. Increasingly, novel techniques fuse both simulation and observational methods to enhance the robustness of impact evaluations assessing implemented policies. The policy process consists of interdependent stages, from inception to end, but most reviewed studies focus on single stages, neglecting the continuity of the policy life cycle. Studies assessing the health impacts of policies using a multi-stage approach are lacking. Most studies investigate intended impacts of policies; focusing also on unintended impacts may provide a more comprehensive evaluation of policies.

Government mandated lockdowns do not reduce Covid-19 deaths: implications for evaluating the stringent New Zealand response

The New Zealand policy response to Coronavirus was the most stringent in the world during the Level 4 lockdown. Up to 10 billion dollars of output (≈3.3% of GDP) was lost in moving to Level 4 rather than staying at Level 2, according to Treasury calculations. For lockdown to be optimal requires large health benefits to offset this output loss. Forecast deaths from epidemiological models are not valid counterfactuals, due to poor identification. Instead, I use empirical data, based on variation amongst United States counties, over one-fifth of which just had social distancing rather than lockdown. Political drivers of lockdown provide identification. Lockdowns do not reduce Covid-19 deaths. This pattern is visible on each date that key lockdown decisions were made in New Zealand. The apparent ineffectiveness of lockdowns suggests that New Zealand suffered large economic costs for little benefit in terms of lives saved.

Local inequalities of the COVID-19 crisis.

This paper assesses the pandemic's impact on Italian local economies with the newly developed machine learning control method for counterfactual building. Our results document that the economic effects of the COVID-19 shock vary dramatically across the Italian territory and are spatially uncorrelated with the epidemiological pattern of the first wave. The largest employment losses occurred in areas characterized by high exposure to social aggregation risks and pre-existing labor market fragilities. Lastly, we show that the hotspots of the COVID-19 crisis do not overlap with those of the Great Recession. These findings call for a place-based policy response to address the uneven economic geography of the pandemic.

THE RISE IN YOUTH EMPLOYMENT? IMPACT EVALUATION OF COVID-19 CONSEQUENCES

The COVID-19 pandemic has significant consequences in many areas and has largely contributed to rising unemployment in almost all countries. The situation is similar in Slovavkia, where various degrees of shutdown measures have caused an inflow of newly unemployed people in all age groups. This article focuses on unemployed youth as a vulnerable and disadvantaged group of the working population, as starting a career during a pandemic is complicated or even impossible in some industries under these conditions. In this study, the real situation in Slovakia in 2020-2021 is compared with the development of the job market before the pandemic and its counterfactual prediction under the hypothetical situation of no pandemic. The main contribution of the study is the quantification of the extent of the pandemic impact on unemployed youth, but also on other age groups;this evaluation can be considered very accurate given the counterfactual approach used. The analysis uses a counterfactual before-after comparison together with a statistical model for predicting the development of the inflow of the number of newly unemployed, which provides an accurate quantification of the amount of the pandemic's impact on unemployment. The results of this study can be used in practice to identify the most affected groups of the population and to implement policy measures aimed at mitigating the effects of the pandemic, and then to adjust the intensity and amount of allocated funds that will be needed to be spent to support the placement of young people into the labor market.

Awareness, value and use of the Australian living guidelines for the clinical care of people with COVID-19: an impact evaluation.

BACKGROUND AND OBJECTIVE: The Australian National COVID-19 Clinical Evidence Taskforce is developing living, evidence-based, national guidelines for treatment of people with COVID-19. These living guidelines are updated each week. We undertook an impact evaluation to understand the extent to which health professionals providing treatment to people with COVID 19 were aware of, valued and used the guidelines, and the factors that enabled or hampered this. METHODS: A mixed methods approach was used for the evaluation. Surveys were conducted to collect both quantitative and qualitative data and were supplemented with qualitative interviews. Australian healthcare practitioners potentially providing care to individuals with suspected or confirmed COVID-19 were invited to participate. Data were collected on guideline awareness, relevance, ease of use, trustworthiness, value, importance of updating, use, and strengths and opportunities for improvement. RESULTS: A total of 287 people completed the surveys and 10 interviews were conducted during November 2020. Awareness of the work of the Taskforce was high and the vast majority of respondents reported that the guidelines were very or extremely relevant, easy to use, trustworthy and valuable. More than 50% of respondents had used the guidelines to support their own clinical decision-making; and 30% were aware of other examples of the guidelines being used. Qualitative data revealed that amongst an overwhelming morass of evidence and opinions during the COVID-19 pandemic, the guidelines have been a reliable, united source of evidence-based advice; participants felt the guidelines built confidence and provided reassurance in clinical decision-making. Opportunities to improve awareness and accessibility to the guidelines were also explored. CONCLUSIONS: As of June 2021, the guidelines have been published and updated more than 40 times, include more than 140 recommendations and are being used to inform clinical decisions. The findings of this impact evaluation will be used to improve processes and outputs of the Taskforce and guidelines project, and to inform future living guideline projects.

Impact Evaluation of Coronavirus Disease 2019 Policy: A Guide to Common Design Issues.

Policy responses to coronavirus disease 2019 (COVID-19), particularly those related to nonpharmaceutical interventions, are unprecedented in scale and scope. However, evaluations of policy impacts require a complex combination of circumstance, study design, data, statistics, and analysis. Beyond the issues that are faced for any policy, evaluation of COVID-19 policies is complicated by additional challenges related to infectious disease dynamics and a multiplicity of interventions. The methods needed for policy-level impact evaluation are not often used or taught in epidemiology, and they differ in important ways that may not be obvious. Methodological complications of policy evaluations can make it difficult for decision-makers and researchers to synthesize and evaluate the strength of the evidence in COVID-19 health policy papers. Here we 1) introduce the basic suite of policy-impact evaluation designs for observational data, including cross-sectional analyses, pre-/post- analyses, interrupted time-series analysis, and difference-in-differences analysis; 2) demonstrate key ways in which the requirements and assumptions underlying these designs are often violated in the context of COVID-19; and 3) provide decision-makers and reviewers with a conceptual and graphical guide to identifying these key violations. Our overall goal is to help epidemiologists, policy-makers, journal editors, journalists, researchers, and other research consumers understand and weigh the strengths and limitations of evidence.

Increased COVID-19 Testing Rates Following Combined Door-to-Door and Mobile Testing Facility Campaigns in Oslo, Norway, a Difference-in-Difference Analysis.

High testing rates limit COVID-19 transmission. Attempting to increase testing rates, Stovner District in Oslo, Norway, combined door-to-door campaigns with easy access testing facilities. We studied the intervention's impact on COVID-19 testing rates. The Stovner District administration executed three door-to-door campaigns promoting COVID-19 testing accompanied by drop-in mobile COVID-19 testing facilities in different areas at 2-week intervals. We calculated testing rates pre- and post-campaigns using data from the Norwegian emergency preparedness register for COVID-19 (Beredt C19). We applied a difference-in-difference approach using ordinary least square regression models and robust standard errors to estimate changes in COVID-19 testing rates. Door-to-door visits reached around one of three households. Intervention and comparison areas had identical testing rates before the intervention, and we observed an increase in intervention areas after the campaigns. We estimate a 43% increase in testing rates over the first three days following the door-to-door campaigns (p = 0.28), corresponding to an additional 79 (95% confidence interval, -54 to 175) people tested. Considering the shape of the time series curves and the large effect estimate, we find it highly likely that the campaigns had a substantial positive impact on COVID-19 testing rates, despite a p-value above the conventional levels for statistical significance. The results and the feasibility of the intervention suggest that it may be worth implementing in similar settings.

The Impact of COVID-19 Lockdown on Diabetes Complication and Diabetes Management in People With Diabetes in Indonesia.

Aims: As the country with the seventh largest number of People with Diabetes (PWD) in the world, the Coronavirus disease 2019 (COVID-19) pandemic, and the Large Social Scale Restriction (LSSR) policy taken by the Indonesian government to reduce the number of COVID-19 transmissions is estimated to interfere diabetes management and will increase the incidence of diabetes complications. This study aims to determine the difficulties of diabetes management and its impact on diabetes morbidity during the COVID-19 pandemic in Indonesia. Methods: This study is a cross-sectional study using a national scale web survey. This research was conducted in Indonesia enrolling 1124 PWD aged 18 years or older. Diabetes complications are defined as self-assessed incidence of hypoglycemia, or Diabetic Foot Ulcer (DFU), or hospital admission experienced by PWD in Indonesia during the COVID-19 pandemic. The correlation between diabetes management difficulties and diabetes-related complications was measured using a modified cox regression test. Results: Diabetes management difficulties were experienced by 69.8% of PWD in Indonesia. The difficulties include attending diabetes consultation 30.1%, access to diabetes medication 12.4%, checking blood glucose levels 9.5%, controlling diet 23.8%, and performing regular exercise 36.5%. Diabetes-related complications occurred in 24.6% of subjects. Those who had diabetes management difficulties during the COVID-19 pandemic are prone to have diabetes complications by 1.4 times greater (PR: 1.41, 95% CI: 1.09-1.83) than those who did not. Conclusion: The COVID-19 pandemic and LSSR have impact on diabetes management and diabetes-related complications as assessed by PWD in Indonesia.