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Fulltext Impact of pharmacist insulin injection re-education on glycemic control among type II diabetic patients in primary health clinics

Selvadurai S, Cheah KY, Ching MW, Kamaruddin H, Lee XY, Ngajidin RM, et al.

Saudi Pharm J, 2021 Jul;29(7):670-676.
PMID: 34400860 DOI: 10.1016/j.jsps.2021.04.028

Background: Insulin injection technique re-education and diabetes knowledge empowerment has led to improved glycemic control.
Objectives: To evaluate the impact of pharmacist's monthly re-education on insulin injection technique (IT), lipohypertrophy, patients' perception on insulin therapy and its effect on glycaemic control.
Methods: This randomized controlled, multi-centered study was conducted among type 2 diabetics from 15 government health clinics. 160 diabetics with baseline HbA1C ≥ 8% and unsatisfactory IT technique were randomized into control or intervention group. Control group received standard pharmacist counselling during initiation and at 4th month. Intervention group received monthly counselling and IT re-education for 4 months. Assessment of diabetes, IT knowledge, adherence and perception towards diabetes were conducted using validated study tools Insulin Treatment Appraisal Scale (ITAS) and Medication Compliance Questionnaire (MCQ)).
Results: 139 patients completed the study; control group (69), intervention group (70). In control group, all outcomes shown improvement except for patient's perception. Mean HbA1C decreased 0.79% ± 0.24 (p = 0.001). In intervention group, all outcomes improved significantly. HbA1c reduces significantly by 1.19% ± 0.10 (p
Fulltext Impact of pharmacist-managed diabetes medication therapy adherence clinic (DMTAC) in government health clinics

Lee XY, Selvadurai S, Cheah KY, Noh NB, Gan CB, Teng J, et al.

Malaysian Journal of Pharmaceutical Science, 2015;13(1):43-51.
MyJurnal

Pharmacist-managed DMTAC has been set up in Malaysia government healthcare facilities to assist diabetic patients in improving their medication adherence level and glycaemic control. The aim of this study is to determine the effect of pharmacist involvement in a DMTAC programme on patient glycaemic control in 14 government health clinics in Kuala Lumpur and Putrajaya. This multi-centre retrospective study collected DMTAC patient demographics, medication regimens, glycated haemoglobin (HbA1c) levels, Modified Morisky Medication Adherence Scale (MMMAS) data, and percentages of understanding towards their medications (based on information retrieved and reviewed from their DMTAC booklets). The data were analysed using IBM SPSS Statistics Version 21.0. Fifty six patients were involved in this study. The mean HbA1c reduction (SD) of the pre- and post-intervention groups showed a statistically significant
improvement of 1.0% (1.70) (p<0.001); decreasing from 10.7% (1.51) pre-intervention to 9.7% (1.75) post-intervention. The mean medication understanding score for the postintervention group was 97.6% (7.32), which was significantly higher than the preintervention group score of 92.2% (13.61) (p = 0.005). The mean MMMAS of the postintervention group was 7.4 (1.19), which was significantly higher than the pre-intervention group mean MMMAS of 6.5 (2.33) (p = 0.001). This study demonstrated an improvement in glycaemic control, medication understanding, and adherence level among T2DM patients who were enrolled in a pharmacist-managed DMTAC programme.
Keywords: Diabetes, Diabetes Medication Adherence Therapy Clinic (DMTAC), Endocrine, Pharmacist, HbA1c, Medication adherence, Medication understanding
CamTrapAsia: A dataset of tropical forest vertebrate communities from 239 camera trapping studies

Mendes CP, Albert WR, Amir Z, Ancrenaz M, Ash E, Azhar B, et al.

Ecology, 2024 Apr 22.
PMID: 38650359 DOI: 10.1002/ecy.4299

Information on tropical Asian vertebrates has traditionally been sparse, particularly when it comes to cryptic species inhabiting the dense forests of the region. Vertebrate populations are declining globally due to land-use change and hunting, the latter frequently referred as "defaunation." This is especially true in tropical Asia where there is extensive land-use change and high human densities. Robust monitoring requires that large volumes of vertebrate population data be made available for use by the scientific and applied communities. Camera traps have emerged as an effective, non-invasive, widespread, and common approach to surveying vertebrates in their natural habitats. However, camera-derived datasets remain scattered across a wide array of sources, including published scientific literature, gray literature, and unpublished works, making it challenging for researchers to harness the full potential of cameras for ecology, conservation, and management. In response, we collated and standardized observations from 239 camera trap studies conducted in tropical Asia. There were 278,260 independent records of 371 distinct species, comprising 232 mammals, 132 birds, and seven reptiles. The total trapping effort accumulated in this data paper consisted of 876,606 trap nights, distributed among Indonesia, Singapore, Malaysia, Bhutan, Thailand, Myanmar, Cambodia, Laos, Vietnam, Nepal, and far eastern India. The relatively standardized deployment methods in the region provide a consistent, reliable, and rich count data set relative to other large-scale pressence-only data sets, such as the Global Biodiversity Information Facility (GBIF) or citizen science repositories (e.g., iNaturalist), and is thus most similar to eBird. To facilitate the use of these data, we also provide mammalian species trait information and 13 environmental covariates calculated at three spatial scales around the camera survey centroids (within 10-, 20-, and 30-km buffers). We will update the dataset to include broader coverage of temperate Asia and add newer surveys and covariates as they become available. This dataset unlocks immense opportunities for single-species ecological or conservation studies as well as applied ecology, community ecology, and macroecology investigations. The data are fully available to the public for utilization and research. Please cite this data paper when utilizing the data.

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