Description:
Commons provide many ecosystem services that support the livelihoods of billions around the world. However, their contribution to people and the economy are rarely estimated in economic terms. Here, we estimate the economic contribution of the land-based commons in India, which cover 66.5 million hectares. We conducted a systematic literature review of publications between 1990 and 2020 and selected 161 peer-reviewed studies to develop an ecosystem services valuation database for India. We identified 34 ecosystem services from this database. We estimate that forest commons provide ecosystem services worth $2108 ha
Description:
Commons provide many ecosystem services that support the livelihoods of billions around the world. However, their contribution to people and the economy are rarely estimated in economic terms. Here, we estimate the economic contribution of the land-based commons in India, which cover 66.5 million hectares. We conducted a systematic literature review of publications between 1990 and 2020 and selected 161 peer-reviewed studies to develop an ecosystem services valuation database for India. We identified 34 ecosystem services from this database. We estimate that forest commons provide ecosystem services worth $2108 ha
Description:
**Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Harpinder Sandhu” is provided in this record**
Description:
**Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Harpinder Sandhu” is provided in this record**
Description:
Psychiatric readmissions contribute to a significant cost and healthcare burden to physicians, hospitals, and the healthcare system as an entity. Furthermore, as part of the Affordable Care Act, the Centers for Medicare and Medicaid Services (CMS) began to reduce financial coverage to hospitals with overwhelming rehospitalization rates. The purpose of this study was to do a systematic analysis on inpatient psychiatric readmission data and identify co-morbidities and risk factors that lead to high readmission rates. The data collection includes 163 patients with a total of 348 readmissions over the span of 90 days at one inner-city hospital in the Chicagoland area. Study findings suggest that higher rates of readmission are linked to cocaine abuse in both male and female populations. Diagnosis of bipolar in females and schizoaffective disorder in male populations were the among the highest for readmission. Key social factors such as homelessness and low socioeconomic status were identified to contribute to a large proportion of psychiatric readmission burden. However, an overwhelming amount of information was missing due to unobtained labs and lack of current patient social history. By using this data as well as data from electronic medical records (EMRs) to further investigate and identify other features of at-risk patients, hospitals can potentially address these markers to lower readmission rates. Ultimately, a higher understanding of the patients' needs can be understood and can help develop standardized plans of care for prevalent psychiatric illnesses in these populations.
Description:
Psychiatric readmissions contribute to a significant cost and healthcare burden to physicians, hospitals, and the healthcare system as an entity. Furthermore, as part of the Affordable Care Act, the Centers for Medicare and Medicaid Services (CMS) began to reduce financial coverage to hospitals with overwhelming rehospitalization rates. The purpose of this study was to do a systematic analysis on inpatient psychiatric readmission data and identify co-morbidities and risk factors that lead to high readmission rates. The data collection includes 163 patients with a total of 348 readmissions over the span of 90 days at one inner-city hospital in the Chicagoland area. Study findings suggest that higher rates of readmission are linked to cocaine abuse in both male and female populations. Diagnosis of bipolar in females and schizoaffective disorder in male populations were the among the highest for readmission. Key social factors such as homelessness and low socioeconomic status were identified to contribute to a large proportion of psychiatric readmission burden. However, an overwhelming amount of information was missing due to unobtained labs and lack of current patient social history. By using this data as well as data from electronic medical records (EMRs) to further investigate and identify other features of at-risk patients, hospitals can potentially address these markers to lower readmission rates. Ultimately, a higher understanding of the patients' needs can be understood and can help develop standardized plans of care for prevalent psychiatric illnesses in these populations.