Background: Loneliness is a problem experienced by most older adults due to internal and external factors. This condition may lead to various physical and psychological health problems, including depression, sleep disturbances, stress, and suicidal ideation. Therefore, exploring social environment support to reduce loneliness is a necessity. Objective: This study aimed to identify various kinds of social support to overcome loneliness in older adults. Methods: A scoping review was performed on studies retrieved from Embase, CINAHL, Cochrane, PubMed, and Google Scholar from 2012 until early 2022. Data were analyzed according to Arksey and O’Malley’s scoping review guideline. Results: Ten studies were systematically selected from 2,410 articles. The analysis indicated that the social environment support, including family support (affection, attention, emotional, motivation, and financial support), friends (peer group, partnership, advice, and appreciation), neighbors (work around the house, society involvement, and emergency), and government support (healthcare facilities and community programs), contribute to loneliness in older adults. Conclusion: The social environment support from families, friends, neighbors, and government may potentially help older adults to reduce their loneliness but need further validation. The variables included in each component also need construct exploration. However, the study findings may serve as basic knowledge for nurses to provide interventions to prevent and reduce loneliness among older adults.

Deteksi lebih dini secara tepat pada jenjang pelayanan kesehatan primer di masyarakat merupakan upaya yang dapat menjaga kesehatan penduduk lanjut usia. Mengembangkan dan melakukan validasi instrumen yang akan digunakan untuk penyusunan M-Health nursing sebagai alat deteksi mobilitas lansia. Pengujian instrumen menggunakan korelasi product moment yang akan digunakan dalam pembuatan M-Health nursing berdasarkan data 30 kader untuk mendeteksi 60 penurunan mobilitas lansia pada tiga wilayah kerja puskesmas di Kota Tangerang Selatan dan Yogyakarta. Nilai uji validitas 0,693 dengan reliabilitas 0,702. Instrumen dapat digunakan untuk penyusunan dan pengembangan M-Health nursing sebagai alat deteksi mobilitas lansia.

Introduction: Mobility impairment is a problem in the older adults who have decreased in mobility as it may affect their daily activity. The development of a detection model to identify the problem of mobility impairment in older adults has become a solution that can increase the health care for older adults. This study aimed to develop a health detection instrument models using a mobile health nursing application to detect mobility impairment in older adults.Methods: This study used action research through a purposive sampling method involving three nurses and twenty-seven cadres to perform the detection process of mobility impairment focused on one hundred and seventy-five older adults in three public health centers in two provinces using an m-health application.Results: Based on direct observation and questionnaires addressed to the user of the m-health nursing application, 80% stated that the information contained in the mobile health nursing application was appropriate. In terms of speed, only 43.33% stated that the application worked fast, but overall, 66.67% of users stated that they were delighted with the application-based of the instrument model and that they were helped in detecting the mobility disorders that occurred in the older adults.Conclusion: These applications can be developed into a model that can help nurses, older adults and their family to detect other older adult problems in addition to mobility problems like cognitive function etc.