A parcellation-based connectomic model of hemispatial neglect.

BACKGROUND AND PURPOSE: Hemispatial neglect is characterized by a reduced awareness to stimuli on the contralateral side. Current literature suggesting that damage to the right parietal lobe and attention networks may cause hemispatial neglect is conflicting and can be improved by investigating a connectomic model of the "neglect system" and the anatomical specificity of regions involved in it. METHODS: A meta-analysis of voxel-based morphometry magnetic resonance imaging (MRI) studies of hemispatial neglect was used to identify regions associated with neglect. We applied parcellation schemes to these regions and performed diffusion spectrum imaging (DSI) tractography to determine their connectivity. By overlaying neglect areas and maps of the attention networks, we studied the relationship between them. RESULTS: The meta-analysis generated a list of 13 right hemisphere parcellations. These 13 neglect-related parcellations were predominantly linked by the superior longitudinal fasciculus (SLF) throughout a fronto-parietal-temporal network. We found that the dorsal and ventral attention networks showed partial overlap with the neglect system and included various other higher-order networks. CONCLUSIONS: We provide an anatomically specific connectomic model of the neurobehavioral substrates underlying hemispatial neglect. Our model suggests a fronto-parietal-temporal network linked via the SLF supports the functions impaired in neglect and implicates various higher-order networks which are not limited to the attention networks.

Prevalence and Barriers to Lung Cancer Screening in Karachi, Pakistan: A Cross-Sectional Survey of Smokers and Physicians.

BACKGROUND: Early detection of lung cancer using low-dose computed tomography (LDCT) can potentially reduce morbidity and mortality. However, LDCT for lung cancer screening, especially in low income countries, has been underutilized. The objective of this study was to evaluate the prevalence and the potential personal, social, and economic barriers of lung cancer screening using LDCT. METHODS: A total sample of 156 smokers and 200 general physicians was collected during December 2016-February 2017 from community settings in Karachi, Pakistan. Two separate questionnaires were constructed to characterize participants' knowledge, attitudes, and practices regarding lung cancer screening. Screening-eligible smokers and physicians were asked to identify patient barriers to screening and were asked their opinion regarding most effective approach for increasing awareness of screening guidelines. RESULTS: The majority of smokers' (n=91, 58.3%) and physicians' (n=131, 65.7%) beliefs about the US Preventive Services Task Force (USPSTF) eligibility criteria were inconsistent with the actual recommendations. Major barriers to screening included financial cost, lack of patient counseling and health anxiety related to screening. Over two-thirds (n=105, 67.3%) of smokers were receptive to further information about LDCT screening, and half (n=78, 50.0%) favored one-on-one counseling by their physician, compared to other media. Only one-third (n=65, 33.3%) of physicians reported use of LDCT screening, although 54.5% (n=108) felt that screening implementation would be very effective in their practice. CONCLUSION: LDCT screening is currently an uncommon practice in Pakistan. Financial cost, inadequate doctor-patient communication, and lack of awareness of guidelines among both patients and physicians are the major barriers in the utilization of LDCT screening.

Disease-specific impoverishment impact of out-of-pocket payments for health care: evidence from rural Bangladesh.

BACKGROUND: Analysing disease-specific impoverishment impact of out-of-pocket (OOP) payments for health care is crucial for priority setting in any informed policy discussion. Lack of evidence, particularly in the Bangladesh context, motivates our paper. OBJECTIVE: To examine disease-specific impoverishment impact of OOP payments for health care. METHODS: The paper estimates the poverty impact of OOP payments by comparing the difference between the average level of headcount poverty and poverty gap with and without health care payments. We used primary data drawn from 3,941 households, distributed over 120 villages of seven districts in Bangladesh during August-September 2009. FINDINGS: We find that OOP outlays annually push 3.4 % households into poverty. The corresponding figures for those who had non-communicable diseases (NCDs), chronic illness, hospitalization and catastrophic illness were 4.61, 4.65, 14.53 and 17.33 %, respectively. Note that NCDs are the principal reason behind the latter two situations (about 88 % and 85 % of cases, respectively). Looking into individual categories of NCDs we found that major contribution to headcount impoverishment arose out of illnesses such as cholecystectomy, mental disorder, kidney disease, cancer and appendectomy. The intensity of impoverishment is the largest among the hospitalized patients, and more individually among cancer patients. CONCLUSIONS: The poverty impact of OOP outlays for health care, in general, is quite high. However, it is especially high for NCDs, particularly for chronic NCDs and those requiring immediate surgical procedures. Hence, these illnesses should be given more priority for policy framing. In addition to suggesting some ex-ante measures (e.g. raising awareness regarding the risk factors causing NCDs), the paper argues for reforms to enhance efficiency in the public health care facilities and increasing the quality of public health care.