24 research outputs found

    Pharmacotherapeutic audit meetings as a tool of improving prescribing practices

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    Background: Pharmacotherapeutic audit meeting (PTAM) is a good tool to review prescriptions for rationality and suggest measures for improving quality of prescriptions. To promote this, World Health Organization (WHO) and International Network for Rational Use of Drugs (INRUD) provided drug prescribing and drug use indicators. To assess the impact of PTAMs as an intervention for improving quality and rationality of prescriptions.Methods: This was a single centre, prospective study conducted from December 2018-February 2020. Prescriptions from outpatient surgical departments were collected, screened using WHO/INRUD core indicators and discussed in PTAMs. The same process was repeated over next 2 months to assess change in prescribing patterns after PTAM. Chi-square and Student’s t-test was used for statistical analysis.Results: The difference in proportions for antibiotic prescribing was 8.7% [95% CI (1.0%-16.7%), p=0.02]; injectable preparation use was 0.7% [95% CI (-0.4%-2.3%) p=0.23]; prescriptions with generic name drugs was 10.9% [95% CI (5.6-16.2%) p<0.0001] and prescriptions from Essential drug list (EDL) was 8.1% [95% CI (2.5%-13.5%) p=0.0046].Conclusions: Our research showed PTAM could be an effective tool to implement WHO/INRUD drug prescribing indicators robustly. Hence, it could be included in WHO/INRUD policies as an intricate part of institutional healthcare delivery system

    Pharmacotherapeutic audit meetings as a tool of improving prescribing practices

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    Background: Pharmacotherapeutic audit meeting (PTAM) is a good tool to review prescriptions for rationality and suggest measures for improving quality of prescriptions. To promote this, World Health Organization (WHO) and International Network for Rational Use of Drugs (INRUD) provided drug prescribing and drug use indicators. To assess the impact of PTAMs as an intervention for improving quality and rationality of prescriptions.Methods: This was a single centre, prospective study conducted from December 2018-February 2020. Prescriptions from outpatient surgical departments were collected, screened using WHO/INRUD core indicators and discussed in PTAMs. The same process was repeated over next 2 months to assess change in prescribing patterns after PTAM. Chi-square and Student’s t-test was used for statistical analysis.Results: The difference in proportions for antibiotic prescribing was 8.7% [95% CI (1.0%-16.7%), p=0.02]; injectable preparation use was 0.7% [95% CI (-0.4%-2.3%) p=0.23]; prescriptions with generic name drugs was 10.9% [95% CI (5.6-16.2%) p&lt;0.0001] and prescriptions from Essential drug list (EDL) was 8.1% [95% CI (2.5%-13.5%) p=0.0046].Conclusions: Our research showed PTAM could be an effective tool to implement WHO/INRUD drug prescribing indicators robustly. Hence, it could be included in WHO/INRUD policies as an intricate part of institutional healthcare delivery system.</jats:p

    Quantifying Tree Diversity, Carbon Stocks, and Sequestration Potential for Diverse Land Uses in Northeast India

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    In the modern era, rapid anthropogenic activities in the vicinity of the Himalayas disturb the carbon sequestration potential resulting in climate change. For the first time, this study estimates the biomass and carbon storage potential of Northeast India’s diverse land uses through a biomass estimation model developed for this region. The mean tree density in tropical, subtropical, and temperate forests was 539, 554, and 638 trees ha−1, respectively. The mean vegetation carbon stock was the highest for temperate forests (122.09 Mg C ha−1), followed by subtropical plantations (115.45 Mg C ha−1), subtropical forests (106.01 Mg C ha−1), tropical forests (105.33 Mg C ha−1), tropical plantations (93.00 Mg C ha−1), and temperate plantations (50.10 Mg C ha−1). Among the forests, the mean soil organic carbon (SOC) stock up to 45 cm depth was the highest for tropical forests (72.54 Mg C ha−1), followed by temperate forests (63.4 Mg C ha−1) and subtropical forests (42.58 Mg C ha−1). A strong relationship between the tree basal area and biomass carbon storage was found for all land-use types. The land-use transformation from agriculture to agroforestry, and grassland to plantations increased both vegetation carbon (VC) and SOC stocks. The corresponding increase in VC and SOC was 40.80 and 43.34 Mg C ha−1, respectively, in the former, and 83.18 and 97.64 Mg C ha−1 in the latter. In general, the landscape-level estimates were drawn from site-level estimates in a given land-use type, and therefore, the corresponding values might be overestimated. Nevertheless, the results provide baseline information on carbon stock which may serve as a reference for devising appropriate land-use change policies in the region.</jats:p

    Table2_Quantifying Tree Diversity, Carbon Stocks, and Sequestration Potential for Diverse Land Uses in Northeast India.docx

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    In the modern era, rapid anthropogenic activities in the vicinity of the Himalayas disturb the carbon sequestration potential resulting in climate change. For the first time, this study estimates the biomass and carbon storage potential of Northeast India’s diverse land uses through a biomass estimation model developed for this region. The mean tree density in tropical, subtropical, and temperate forests was 539, 554, and 638 trees ha−1, respectively. The mean vegetation carbon stock was the highest for temperate forests (122.09 Mg C ha−1), followed by subtropical plantations (115.45 Mg C ha−1), subtropical forests (106.01 Mg C ha−1), tropical forests (105.33 Mg C ha−1), tropical plantations (93.00 Mg C ha−1), and temperate plantations (50.10 Mg C ha−1). Among the forests, the mean soil organic carbon (SOC) stock up to 45 cm depth was the highest for tropical forests (72.54 Mg C ha−1), followed by temperate forests (63.4 Mg C ha−1) and subtropical forests (42.58 Mg C ha−1). A strong relationship between the tree basal area and biomass carbon storage was found for all land-use types. The land-use transformation from agriculture to agroforestry, and grassland to plantations increased both vegetation carbon (VC) and SOC stocks. The corresponding increase in VC and SOC was 40.80 and 43.34 Mg C ha−1, respectively, in the former, and 83.18 and 97.64 Mg C ha−1 in the latter. In general, the landscape-level estimates were drawn from site-level estimates in a given land-use type, and therefore, the corresponding values might be overestimated. Nevertheless, the results provide baseline information on carbon stock which may serve as a reference for devising appropriate land-use change policies in the region.</p
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