Remote consultations in primary care across low-, middle- and high-income countries: Implications for policy and care delivery.

The COVID-19 pandemic mandated a substantial switch in primary health care delivery from an in-person to a mainly remote telephone or video service. As the COVID-19 pandemic approaches its third year, limited progress appears to have been made in terms of policy development around consultation methods for the post-acute phase of the pandemic. In September 2020, the International Primary Care Respiratory Group convened a global panel of primary care clinicians - including family physicians, paediatricians, pharmacists, academics and patients - to consider the policy and health management implications of the move to remote consultations in the primary care setting. The group gave special consideration to how and how far remote consultations should be integrated into routine primary health care delivery. Remote consultations can be a useful alternative to in-person consultations in primary care not only in situations where there is a need for viral infection control but also for the routine delivery of chronic disease management. However, they may not be more time efficient for the clinician, and they can add to the workload and work-related stress for primary care practitioners if they remain the dominant consultation mode. Remote consultations are also less appropriate than in-person consultations for new disease diagnosis, dealing with multiple issues and providing complex care. Ensuring health care professionals have the appropriate skill set to effectively deliver remote consultations, administrative and/or IT support and appropriate reimbursement will be key to achieving optimal integration of remote consultations into routine clinical practice. Addressing digital access and digital literacy issues at a societal level will also be essential to ensure individuals have fair and equitable access to the internet and sufficient security for exchange of personal and health-related data.

Predictors for detecting chronic respiratory diseases in community surveys: A pilot cross-sectional survey in four South and South East Asian low- and middle-income countries.

BACKGROUND: Our previous scoping review revealed limitations and inconsistencies in population surveys of chronic respiratory disease. Informed by this review, we piloted a cross-sectional survey of adults in four South/South-East Asian low-and middle-income countries (LMICs) to assess survey feasibility and identify variables that predicted asthma or chronic obstructive pulmonary disease (COPD). METHODS: We administered relevant translations of the BOLD-1 questionnaire with additional questions from ECRHS-II, performed spirometry and arranged specialist clinical review for a sub-group to confirm the diagnosis. Using random sampling, we piloted a community-based survey at five sites in four LMICs and noted any practical barriers to conducting the survey. Three clinicians independently used information from questionnaires, spirometry and specialist reviews, and reached consensus on a clinical diagnosis. We used lasso regression to identify variables that predicted the clinical diagnoses and attempted to develop an algorithm for detecting asthma and COPD. RESULTS: Of 508 participants, 55.9% reported one or more chronic respiratory symptoms. The prevalence of asthma was 16.3%; COPD 4.5%; and 'other chronic respiratory disease' 3.0%. Based on consensus categorisation (n = 483 complete records), "Wheezing in last 12 months" and "Waking up with a feeling of tightness" were the strongest predictors for asthma. For COPD, age and spirometry results were the strongest predictors. Practical challenges included logistics (participant recruitment; researcher safety); misinterpretation of questions due to local dialects; and assuring quality spirometry in the field. CONCLUSION: Detecting asthma in population surveys relies on symptoms and history. In contrast, spirometry and age were the best predictors of COPD. Logistical, language and spirometry-related challenges need to be addressed.

Pattern of headache in school going children attending specialized clinic in a tertiary care hospital in bangladesh.

OBJECTIVE: To determine the pattern of headache and its associated symptoms in school going children. METHODS: The data of all the school going children attending the Headache Clinic in the Dept. of Neurology, Dhaka Medical College Hospital were retrospectively reviewed. A total of 1021 patients from October 1996 to September 2011 were selected. Data were collected through a predesigned questionnaire containing information on age, sex, social status, clinical features, opthalmoscopic findings, management, and in selected cases imaging results. RESULT: The mean age of headache in school children was 12.6±1.08 years with relatively older age of presentation among girls. The sex ratio was 1.64:1 in favor of girls at older age. Tension type headache (71.1%) was the most common form of headache, followed by migraine (18.4%) and mixed headache (6.7%). Though the girls had more frequent headache of both tension type (59.4%) and migraine (68.1%) variety, the latter was significantly associated in girls (p<0.001). Headache was of moderate severity in 53.3%, whereas severe headache was experienced by 19.9% of the children. The children commonly had nausea and/or vomiting (47.2%), as well as photophobia (24.7%) with headache. Mental stress (34%) and sunlight (30.9%) were common triggering factors whereas a sound sleep relieved headache in the majority (59.4%). Paracetamol (83.3%) and nortryptyline (62.8%) were the most commonly prescribed drug taken by them. CONCLUSION: Headache is a major health problem in school children, apart from other common health issues at this age. With increasing age, the girls more commonly suffer not only from migraine but also with other chronic headache. The direct causal association is yet to be determined.