How can big data analytics be used for healthcare organization management? Literary framework and future research from a systematic review.

BACKGROUND: Multiple attempts aimed at highlighting the relationship between big data analytics and benefits for healthcare organizations have been raised in the literature. The big data impact on health organization management is still not clear due to the relationship's multi-disciplinary nature. This study aims to answer three research questions: a) What is the state of art of big data analytics adopted by healthcare organizations? b) What about the benefits for both health managers and healthcare organizations? c) What about future directions on big data analytics research in healthcare? METHODS: Through a systematic literature review the impact of big data analytics on healthcare management has been examined. The study aims to map extant literature and present a framework for future scholars to further build on, and executives to be guided by. RESULTS: The positive relationship between big data analytics and healthcare organization management has emerged. To find out common elements in the studies reviewed, 16 studies have been selected and clustered into 4 research areas: 1) Potentialities of big data analytics. 2) Resource management. 3) Big data analytics and management of health surveillance systems. 4) Big data analytics and technology for healthcare organization. CONCLUSIONS: In conclusion is identified how the big data analytics solutions are considered a milestone for managerial studies applied to healthcare organizations, although scientific research needs to investigate standardization and integration of the devices as well as the protocol in data analysis to improve the performance of the healthcare organization.

Insights for the future of health system partnerships in low- and middle-income countries: a systematic literature review.

BACKGROUND: Despite growing support for the private sector involvement in the provision of public health services in Low- and Middle-Income Countries (LMICs), a lack of clear information on the future of the provision of such services restricts the ability of managers and policy-makers to assess how feasible integration between public and private actors may be in these countries. This paper presents a systematic literature review which traces the dynamics and boundaries of public-private partnerships for the healthcare sector in LMICs. METHODS: A total of 723 articles indexed in Scopus were initially submitted to bibliometric analysis. Finally, 148 articles published in several academic journals were selected for independent full-text review by two researchers. Content analysis was made in order to minimise mistakes in interpreting the findings of studies in the sample. RESULTS: Public-private partnerships identified through the content analysis were categorised into four research areas: 1) Transfer of resources; 2) Co-production of health goods and services; 3) Governance networks; 4) Criteria for successful partnership development. CONCLUSIONS: The four main research areas supply suggestions for a future research agenda, and managerial and policy implications for partnerships in LMICs.

Inflammation as Prognostic Hallmark of Clinical Outcome in Patients with SARS-CoV-2 Infection.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is often characterized by a life-threatening interstitial pneumonia requiring hospitalization. The aim of this retrospective cohort study is to identify hallmarks of in-hospital mortality in patients affected by Coronavirus Disease 19 (COVID-19). A total of 150 patients admitted for COVID-19 from March to June 2021 to "F. Perinei" Murgia Hospital in Altamura, Italy, were divided into survivors (n = 100) and non-survivors groups (n = 50). Blood counts, inflammation-related biomarkers and lymphocyte subsets were analyzed into two groups in the first 24 h after admission and compared by Student's t-test. A multivariable logistic analysis was performed to identify independent risk factors associated with in-hospital mortality. Total lymphocyte count and CD3+ and CD4+ CD8+ T lymphocyte subsets were significantly lower in non-survivors. Serum levels of interleukin-6 (IL-6), lactate dehydrogenase (LDH), C-reactive protein (CRP) and procalcitonin (PCT) were significantly higher in non-survivors. Age > 65 years and presence of comorbidities were identified as independent risk factors associated with in-hospital mortality, while IL-6 and LDH showed a borderline significance. According to our results, markers of inflammation and lymphocytopenia predict in-hospital mortality in COVID-19.

Incidence and costs of hip fractures in elderly Italian population: first regional-based assessment.

We analyzed for the first-time hospitalizations and costs for hip fractures in the elderly Italian population at the regional level from 2007 to 2014. The number of fractures and the overall costs increased, mainly due to people aged > 85 in all the Italian regions, although at different rates. OBJECTIVE: We aimed at evaluating the burden of hip fractures in elderly Italian population at the regional level. METHODS: We analyzed national hospitalizations records 2007-2014 to compute standardized hospitalizations rates (SHR) due to hip fractures per 10,000 inhabitants at the regional level and average annual percent change (AAPC), along with related costs. RESULTS: Hip fractures occurred in people over 65 years increased from 89,601 to 94,525 over 8 years. The overall increase in the number of hospitalizations is attributable only to people aged ≥85. Actually, in the 65-74 and 74-84 age groups, total hospitalizations decreased from 13,396 to 12,268 and from 40,733 to 37,786 respectively, while they increased from 35,472 to 44,471 in people aged ≥85 (women = 28,605 and men = 6,867 in 2007; women = 34,636 and men = 9,835 in 2014). Almost 50% of hip fractures were found to have been experienced by patients aged 85 or older in 2014 (with women ≥ 85 representing 36.6% of total fractures), in accordance with the higher prevalence of osteoporosis in this age group. Fractures increase in people aged ≥ 85 was two-folds higher in males (AAPC: + 5.0%; P > 0.05) than in females (AAPC: + 2.6%; P > 0.05). Increases in the number of hospitalizations and related costs were observed for all the regions, with the only exception of Lazio (AAPC: - 4.6%; P < 0.05) and Friuli Venezia Giulia (hip fractures AAPC: - 1.9%; P < 0.05). The most significant increases in hip fractures and related costs were recorded in Calabria (+ 2.7%), Campania (+ 2.2%), and Lombardia (+ 2.0%). At the national level, SHR per 10,000 inhabitants due to hip fractures decreased in all three examined age groups (65-74, 75-84, and ≥ 85), both in males and females during the 8-year period (P < 0.05). This reduction was confirmed also when looking at the regional dataset, with few exceptions concerning female population (AAPC not statistically significant). When looking at the SHR per 10,000 inhabitants for the entire nation, we recorded a decreasing trend also in females aged 85 years old and over but not in males ≥ 85. Actually, men aged ≥ 85 showed increased HR per 10,000 in 10 regions out of 20. Direct hospitalization and rehabilitation costs increased in all the regions over the 8-year period (although at different rates), except for Friuli Venezia Giulia (where costs decreased from 21 to 19 million Euros) and Lazio (from 107 to 87 million Euros). Lombardia and Piemonte were the regions spending the highest amount of money to treat hip fractures in elderly people (151 and 95 million Euros in the year 2014, respectively). CONCLUSION: Hip fractures in the elderly population remain a major public health issue in all Italian regions, especially in people aged 85 years old and over, although the problem is starting to become more controlled compared with the past. Women represent the majority of hip fractures, but the highest increasing rate has been observed in men. Pilot projects at regional level targeting elderly people at higher risk of fractures and treatment compliance are needed.