Objective To evaluate the effectiveness and feasibility of a remote medication treatment management model for elderly patients with chronic disease at home based on mobile technology.Methods A convenient and elderly-friendly mo-bile application(hereinafter referred to as Yaoshiyi APP)was developed,and a remote medication treatment management team consisting of clinical pharmacists from tertiary hospitals,community pharmacists,and community physicians was formed.Patients from communities were selected for practical research,led by pharmacists.Based on the Yaoshiyi APP,patients were subjected to 6 months of medication treatment management practice,and the effectiveness and feasibility of the practice were evaluated.Re-sults The Yaoshiyi APP can be integrated with a variety of medical-grade wearable devices to realize the functions of automati-cally uploading monitoring data,abnormal value reminding,medication reminding,medication consultation,and medication sci-ence popularization.A total of 302 elderly patients with chronic disease at home completed the study.The results showed that phar-macists have identified and intervened in 695 cases of medication-related problems.According to the classification of medication-related problems,the top three were 247 cases(35.5％)of additional treatment,97 cases(14.0％)of unnecessary drug treat-ment,and 93 cases(13.4％)of medication compliance problems.The patient's medication adherence score(Morisky medication adherence scale-8,MMAS-8)increased from(5.85±1.57)at enrollment to(6.74±1.23)6 months after enrollment(P＜0.01).After 6 months of enrollment,the patient's satisfaction with the pharmacist's work reached a score of(4.99±0.08)out of 5.The average reduction in drug costs for patients caused by pharmacists intervening in irrational medication is(20.9±18.0)％.At the end of follow-up,93.4％of patients were proficient in using the Yaoshiyi APP.Conclusion The remote medication treatment management model for elderly patients with chronic disease at home based on mobile technology constructed in this study can ef-fectively improve patient compliance with disease monitoring and medication,ensure rational drug use,reduce medical resource waste,and receive high patient acceptance.

Objective To evaluate the effectiveness and feasibility of a remote medication treatment management model for elderly patients with chronic disease at home based on mobile technology.Methods A convenient and elderly-friendly mo-bile application(hereinafter referred to as Yaoshiyi APP)was developed,and a remote medication treatment management team consisting of clinical pharmacists from tertiary hospitals,community pharmacists,and community physicians was formed.Patients from communities were selected for practical research,led by pharmacists.Based on the Yaoshiyi APP,patients were subjected to 6 months of medication treatment management practice,and the effectiveness and feasibility of the practice were evaluated.Re-sults The Yaoshiyi APP can be integrated with a variety of medical-grade wearable devices to realize the functions of automati-cally uploading monitoring data,abnormal value reminding,medication reminding,medication consultation,and medication sci-ence popularization.A total of 302 elderly patients with chronic disease at home completed the study.The results showed that phar-macists have identified and intervened in 695 cases of medication-related problems.According to the classification of medication-related problems,the top three were 247 cases(35.5％)of additional treatment,97 cases(14.0％)of unnecessary drug treat-ment,and 93 cases(13.4％)of medication compliance problems.The patient's medication adherence score(Morisky medication adherence scale-8,MMAS-8)increased from(5.85±1.57)at enrollment to(6.74±1.23)6 months after enrollment(P＜0.01).After 6 months of enrollment,the patient's satisfaction with the pharmacist's work reached a score of(4.99±0.08)out of 5.The average reduction in drug costs for patients caused by pharmacists intervening in irrational medication is(20.9±18.0)％.At the end of follow-up,93.4％of patients were proficient in using the Yaoshiyi APP.Conclusion The remote medication treatment management model for elderly patients with chronic disease at home based on mobile technology constructed in this study can ef-fectively improve patient compliance with disease monitoring and medication,ensure rational drug use,reduce medical resource waste,and receive high patient acceptance.

OBJECTIVE: To summarize newborn screening for methionine adenosyltransferase I/III (MAT I/III) deficiency in Quanzhou region of Fujian Province. METHODS: A total of 364 545 neonates were screened for inherited metabolic diseases by tandem mass spectrometry. High-throughput next generation sequencing combined with Sanger sequencing was used to detect potential variants in newborns with MAT I/III deficiency. Pathogenicity of suspected variants was predicted by using MutationTaster and HSF software. RESULTS: Three newborns were identified with MAT I/III deficiency by newborn screening, which yielded an incidence rate of 1 in 121 515. Amino acid and acylcarnitine analysis suggested that the serum methionine of the three patients have increased to various extents. All patients showed normal growth and development during follow-up, and were found to carry MAT1A gene variants including two missense variants [c.776C>T (p.Ala259Val) and c.791G>A (p.Arg264His)] and a synonymous variant [c.360C>T (p.Cys120Cys)]. Among these, c.776C>T (p.Ala259Val) and c.791G>A (p.Arg264His) were known to be pathogenic, whereas c.360C>T (p.Cys120Cys) was a novel variant. Bioinformatics analysis suggested that this variant may alter RNA splicing and affect the structure and function of the MAT1A protein. CONCLUSION A systematic review of newborn screening for MAT I/III deficiency was provided. Discovery of the novel variant has enriched the variant profile of the MAT1A gene and provided a basis for the diagnosis of this disease.
Amino Acid Metabolism, Inborn Errors ; diagnosis ; China ; Genetic Variation ; Humans ; Infant, Newborn ; Methionine Adenosyltransferase ; deficiency ; genetics ; Neonatal Screening