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A comparison of physicians and medical assistants in interpreting verbal autopsy interviews for allocating cause of neonatal death in Matlab, Bangladesh: can medical assistants be considered an alternative to physicians? This study assessed the agreement between medical physicians in their interpretation of verbal autopsy (VA) interview data for identifying causes of neonatal deaths in rural Bangladesh. Of the 365 neonatal deaths reviewed, agreement on a direct cause of death was reached by at least two physicians in 339 (93%) of cases. This study revealed a moderate to strong agreement between physician- assigned and medical assistant- assigned major causes of neonatal death.
IntroductionAccurate information on cause of death in communities is important for effective planning and evaluation of various health care interventions [1, 2].
MethodologyStudy design and populationThe study was conducted in Matlab, a rural sub-district in eastern Bangladesh, where ICDDR, B maintains a longitudinal health and demographic surveillance system covering a population of ~ 224,000 people [19].
ResultsInter-rater variation, the MA versus each individual physician, is an important criterion for judging the quality of the method for assigning cause of death, and Table 1 shows the variation among the physicians.
Reliability (kappa score) between individual physicians & the medical assistant (inter-rater)The percent agreement (PA) for the physicians and the MA methods (Table 5) were reasonably high for the five major causes of death (81% to 94%). DiscussionComparison of the physicians' review and the medical assistant's review for determining major direct causes of death showed that the two approaches were reasonably consistent for the cause-specific mortality fraction (CSMF) of the major neonatal causes of death in this Matlab community setting.
Study limitationsThe absence of a medically confirmed diagnosis to provide a gold standard for comparing cause of death was a major limitation of the study. ConclusionTo achieve the Millennium Development Goal 4, it is important to understand more about the causes of mortality of neonates in the developing world which are an increasing proportion of under-5 child deaths in countries such as Bangladesh. Prozac, a second-generation antidepressant, can also cause coldlike symptoms and headaches.
Trained persons conducted the VA interview with the mother or another family member at the home of the deceased.
A well-trained medical assistant could be considered an alternative for assigning major causes of neonatal deaths in rural Bangladesh and in similar settings where physicians are scarce and their time costs more.
Deaths occurring during the first four weeks of life, the neonatal period, are particularly important because they account for around two thirds (63%) of all infant deaths and nearly half (47%) of under-five child deaths in Bangladesh [3] and 42% globally [4].
Community Health Research Workers (CHRW), who are literate married women that were recruited from among local residents, carry out monthly household visits to collect information on demographic events (birth, death, migration, abortion, marriage, divorce, etc) using pre-coded colored forms to record the events. Patterns of major causes were also similar with those reported from other community-based studies in South Asian countries [3, 22a€“25]. In addition, the emphasis on using a single cause of death may have obscured multiple causes contributing to neonatal deaths. Both resource and practical issues make use of medical autopsy difficult and unlikely to be used for the majority of neonatal deaths as these occur in community settings.
This research study was funded by ICDDR, B and its donors which provide unrestricted support to the Centre for its operations and research. Three physicians and a medical assistant independently reviewed the VA interviews to assign causes of death using the International Classification of Diseases - Tenth Revision (ICD-10) codes. A validation study with medically confirmed diagnosis will improve the performance of VA for assigning cause of neonatal death.
As post neonatal and child mortality continue to decline due to successful implementation of proven interventions [5], the relative contribution of neonatal death to child deaths is increasing. Living in the village and having a limited number of households to survey, they are unlikely to miss any vital events.

Five major categories of neonatal deaths accounted for more than 80% of all neonatal deaths, as determined by the two out of three physician agreement "gold standard" and the MA. Finally, we would like to emphasize that discrepancies between the MA and the physicians do not imply that either assessor was correct, and that our study was not a validation study, rather we looked at the level of agreement between these assessors.
However, the limited repertoire of clinical signs and symptoms in most neonatal illnesses and their overlapping features creates difficulty in assigning cause of death with VA, which is often used in developing world community settings as a means of determining cause of death and where medically confirmed gold standard diagnoses are unavailable.In this study, major causes of neonatal death could be determined by both physicians and the MA trained to interpret VA interviews.
Current donors providing unrestricted support include: Australian Agency for International Development (AusAID), Government of the People's Republic of Bangladesh, Canadian International Development Agency (CIDA), Embassy of the Kingdom of the Netherlands (EKN), Swedish International Development Cooperation Agency (Sida), Swiss Agency for Development and Cooperation (SDC), and Department for International Development, UK (DFID).
A physician assigned cause was decided when at least two physicians agreed on a cause of death. Therefore, collection of accurate information on neonatal events leading to death is critical.Of 4 million annual neonatal deaths, 99% occur in low- and middle-income countries [1, 6].
Physicians and the MA are generally knowledgeable about the disease profile of a geographical area and can use their clinical judgments and understanding when assigning cause of death. We gratefully acknowledge these donors for their support and commitment to the Centre's research efforts. Cause-specific mortality fraction (CSMF), kappa (k) statistic, sensitivity, specificity, and positive predictive values were applied to compare agreement between the reviewers.
As the great majority of births and neonatal deaths in developing countries occur at home outside the formal health care setting, it is difficult to ascertain the cause of death. An MA can diagnose a cause of death for all ICD-10 codes by applying their clinical judgment; in contrast, there are no algorithms available for many of the ICD-10 codes. In such situations, verbal autopsy (VA) can be a valuable, low-cost and practical tool to ascertain cause of death.VA is a practical tool for assigning a probable cause of death where routine death registration is non-existent or inadequate and autopsies are rarely available. The questionnaire was adapted to local customs and culture and translated in Bangla by the VA team at the Matlab HDSS in 2003. The study concluded that combined clinical records and VA can provide more complete information than death certificate alone in areas with poor quality of mortality data [26].The VA puts emphasis on causes of death which have major public health importance, and relies less on individual causes of death [14].
A well-trained MA can therefore be considered as an alternative to physicians for classifying major causes of neonatal death in settings such as rural areas where physicians are scarce, and they will cost much less than a doctor. NA manages all the data and PKS manages the Matlab HDSS, and participated in the study design and revising the manuscript.
The VA methodology utilizes retrospective information collected during interviews with care givers or family members about the symptoms, signs, care seeking and other events related to the deceased and their illness or circumstances prior to death [7, 8].
It includes both open-ended and close-ended questions on the pregnancy, birth, and illnesses leading up to the neonatal death, as well as information on health care-seeking behaviour during the fatal illness episode.Data collectionThe CHRW identified the deaths and filled up a registration slip (date of death, identification number, etc) during their monthly house- to- house visit which was sent to the block supervisor. This public health or community approach has been reflected here by the two VA approaches showing common patterns of causes of neonatal death reported earlier from the developing countries. However, we did not examine the factors affecting the MA's performance, and this could be explored at greater depths in future research.
SCT and MA provided help with the study design, data analysis, write-up and editing of the manuscript, while MY contributed to the study by reading the manuscript critically and helping with revisions of the manuscript. Much larger numbers of trained medical assistants need to be assessed for their capability to do this before their employment in such positions would be justified.
However, the method used to assign cause of death from the information obtained by VA should be appropriate, valid, reliable and inexpensive.There are a number of methods for interpreting VA interviews to arrive at a cause of death. An interviewer trained in verbal autopsy visited the home 2 to 6 weeks after the date of death to conduct the interview. These include review by a medically qualified person such as a physician, use of algorithms, neural networks or a probabilistic approach [9]. After obtaining informed verbal consent, interviews were conducted, generally with the mother, but sometimes with other family members to supplement the interview data.
Each method has its advantages and disadvantages in terms of validity, cost effectiveness, complexity of technique and repeatability [10, 11]. Descriptive statements were recorded in the open part of the questionnaire in Bangla, preserving local idioms and refraining from any alteration or translation. However, a study from rural Nepal comparing physician review with algorithm-based diagnoses in verbal autopsies for neonatal deaths provides interesting information about the pattern of causes allocated by physicians.
Review by a physician is considered to be reasonably accurate owing to their professional training and knowledge about the disease pattern of the country, and not reliant upon complex computer algorithms that would need to be adjusted for local conditions. In the Nepalese study, physicians could not ascertain a cause of death for 41% of cases, a rate considerably higher than the physicians in our study [15].
Thus, they could provide robust estimates of cause-specific mortality fractions (CSM) for common illnesses.
Physicians were general doctors from ICDDR, B Matlab Hospital and were aware of the Integrated Management of Childhood Illness (IMCI) guidelines and booklets.

This could possibly be due to the greater familiarity of our study's physicians (and also MA) with the early and late neonatal causes of death through their knowledge of the manual and guidelines of Integrated Childhood Management Illness.
Physician review for interpreting VA interviews requires a considerable amount of scarce physician time. The medical assistant was a paramedic with three years of institutional medical training who was employed at the HDSS project.
Such knowledge and awareness of neonatal health issues among both the physicians and the MA would also have been helped by the significant levels of programmatic and research activity in child health ongoing at ICDDR, B.The MA in our study had a moderate to good agreement with study physician1 and study physician2 for all major categories of death, while for study physician3 this agreement was good for birth asphyxia and fair to moderate for the other causes.
Algorithms and neural networks have been explored with inconclusive results in terms of validity [11].
The three physicians were provided with two interactive orientation sessions, each with a two-hour duration, regarding the concept of VA and how to review the VA questionnaire to assign cause of death and how to identify ICD-10 codes using the ICD-10 manual.
Algorithms work well for identifying distinctive and memorable clinical syndromes such as neonatal tetanus, measles and injury, but work inconclusively for pneumonia and malaria [12, 13]. The observed sensitivities and specificities across the five major cause of death varied from 48%-84% and 93%-98%, respectively, between MA and physicians (gold standard). Recently, a new probabilistic approach called interVA has been evaluated with physician review and was found to have high consistency between physician- and the model- assigned cause of death as well as being reliable and cost-effective [14].Usually, physician review and algorithms are used after validation with hospital diagnosis as the gold standard. None of the physicians had previous experience with VA, while the medical assistant had experience with VA in the demographic surveillance program at Matlab. The physicians and the MA took a similar time, around 10-12 minutes for interpreting one VA interview.
But the reliability and validity of cause of death are dependent on the quality of information obtained and "gold standard" diagnoses.
Their role was to review all sections of the questionnaire including health care seeking and to assign direct causes of death and originating cause of death when possible using ICD-10 codes.
The symptom-based assessment of causes used in our study was highly culture-specific, and requires a considerable degree of preliminary preparatory work on local perceptions of health and disease.
Hospital diagnosis has problems as a reference standard since these diagnoses are often not representative of community morbidity. Of the three physicians involved in the review process for assigning cause of death, at least two had to agree on the cause of death which could be used as the reference diagnosis for assessing the reliability and agreement of performance by the medical assistant (MA).The process of identification of physician assigned causes was done in three steps.
With three years of formal clinical training behind him and the additional orientation provided in verbal autopsy cause assignation, the MA can be expected to have similar cognitive approaches to assigning cause of death as physicians.Interestingly, agreement between the MA and the physician review method was generally better than the agreement between individual physicians.
Moreover, in resource-constrained health care settings, hospital diagnoses are often unavailable, and even when available, are limited by inadequate clinical data and record keeping. The rather low inter-rater agreement between the physicians could have been due to individual variations arising from differences in training and work experience. In addition, use of varied methods and instruments in VA assessment limits the comparability of findings across settings and over time [10, 15].While review by a physician - often multiple physicians - for allocating cause of death is the most commonly used method, this process requires a considerable amount of scarce physician time which is not practical in many low-income developing countries. Studies have shown that non-physician and mid-level providers are able to conduct specified clinical tasks with adequate training [16, 17]. A recent study also showed that, after training the mid-level workers (nurses and midwives) achieved a level of both cognitive and applied knowledge comparable to physicians to allocate cause of death using VA data [18].The use of a medical assistant who has three years of institutional medical training has been considered as an alternative to physician review for VA data. Both physician and medical assistant would be expected to have similar cognitive approaches to assigning cause of death. However, to date no research has been conducted to evaluate the performance of medical assistants in this regard.The International Centre for Diarrhoeal Disease Research, Bangladesh (ICDDR,B) maintains a comprehensive Health and Demographic Surveillance System (HDSS) in a rural area in Bangladesh. This process increased the number of agreement among physician- assigned direct causes of death but still left 26 cases where there was no agreement between direct and originating causes of the three physicians.Data analysisAll data were entered via Visual FoxPro data entry screen into the Oracle database.
This paper reports the diagnostic agreement between medical assistants and physicians in assigning cause of death by reviewing VA interview data in the Matlab HDSS during the period 2003-2004 [19]. A direct cause was defined as a disease or condition that directly led to the death of the neonate. Cause-specific mortality fraction (CSMF), kappa score, sensitivity, specificity, and positive predictive values were used for assessing the reliability and diagnostic agreement of diagnoses assigned by the MA.
There are no rule of thumb criteria to evaluate the agreement of VA technique for assigning causes of death. Specificity is more important for validity assessment when CSMF is low [21].Ethical approvalThe study interviewers obtained verbal consent from all participants. The Human Research Ethics Committee of Curtin University and the Ethical Review Committee of ICDDR, B approved the study.

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