Person: Berman, Peter
Loading...
Email Address
AA Acceptance Date
Birth Date
Research Projects
Organizational Units
Job Title
Last Name
Berman
First Name
Peter
Name
Berman, Peter
6 results
Search Results
Now showing 1 - 6 of 6
Publication Rural Clinician Scarcity and Job Preferences of Doctors and Nurses in India: A Discrete Choice Experiment(Public Library of Science, 2013) Rao, Krishna D.; Ryan, Mandy; Shroff, Zubin; Vujicic, Marko; Ramani, Sudha; Berman, PeterThe scarcity of rural doctors has undermined the ability of health systems in low and middle-income countries like India to provide quality services to rural populations. This study examines job preferences of doctors and nurses to inform what works in terms of rural recruitment strategies. Job acceptance of different strategies was compared to identify policy options for increasing the availability of clinical providers in rural areas. In 2010 a Discrete Choice Experiment was conducted in India. The study sample included final year medical and nursing students, and in-service doctors and nurses serving at Primary Health Centers. Eight job attributes were identified and a D-efficient fractional factorial design was used to construct pairs of job choices. Respondent acceptance of job choices was analyzed using multi-level logistic regression. Location mattered; jobs in areas offering urban amenities had a high likelihood of being accepted. Higher salary had small effect on doctor, but large effect on nurse, acceptance of rural jobs. At five times current salary levels, 13% (31%) of medical students (doctors) were willing to accept rural jobs. At half this level, 61% (52%) of nursing students (nurses) accepted a rural job. The strategy of reserving seats for specialist training in exchange for rural service had a large effect on job acceptance among doctors, nurses and nursing students. For doctors and nurses, properly staffed and equipped health facilities, and housing had small effects on job acceptance. Rural upbringing was not associated with rural job acceptance. Incentivizing doctors for rural service is expensive. A broader strategy of substantial salary increases with improved living, working environment, and education incentives is necessary. For both doctors and nurses, the usual strategies of moderate salary increases, good facility infrastructure, and housing will not be effective. Non-physician clinicians like nurse-practitioners offer an affordable alternative for delivering rural health care.Publication For more than love or money: attitudes of student and in-service health workers towards rural service in India(BioMed Central, 2013) Ramani, Sudha; Rao, Krishna D; Ryan, Mandy; Vujicic, Marko; Berman, PeterBackground: While international literature on rural retention is expanding, there is a lack of research on relevant strategies from pluralistic healthcare environments such as India, where alternate medicine is an integral component of primary care. In such contexts, there is a constant tug of war in national policy on “Which health worker is needed in rural areas?” and “Who can, realistically, be got there?” In this article, we try to inform this debate by juxtaposing perspectives of three cadres involved in primary care in India—allopathic, ayurvedic and nursing—on rural service. We also identify key incentives for improved rural retention of these cadres. Methods: We present qualitative evidence from two states, Uttarakhand and Andhra Pradesh. Eighty-eight in-depth interviews with students and in-service personnel were conducted between January and July 2010. Generic thematic analysis techniques were employed, and the data were organized in a framework that clustered factors linked to rural service as organizational (salary, infrastructure, career) and contextual (housing, children’s development, safety). Results: Similar to other studies, we found that both pecuniary and non-pecuniary factors (salary, working conditions, children’s education, living conditions and safety) affect career preferences of health workers. For the allopathic cadre, rural primary care jobs commanded little respect; respondents from this cadre aimed to specialize and preferred private sector jobs. Offering preferential admission to specialist courses in exchange for a rural stint appears to be a powerful incentive for this cadre. In contrast, respondents from the Ayurvedic and nursing cadres favored public sector jobs even if this meant rural postings. For these two cadres, better salary, working and rural living conditions can increase recruitment. Conclusions: Rural retention strategies in India have predominantly concentrated on the allopathic cadre. Our study suggests incentivizing rural service for the nursing and Ayurvedic cadres is less challenging in comparison to the allopathic cadre. Hence, there is merit in strengthening rural incentive strategies for these two cadres also. In our study, we have developed a detailed framework of rural retention factors and used this for delineating India-specific recommendations. This framework can be adapted to other similar contexts to facilitate international cross-cadre comparisons.Publication The Ethiopian Health Extension Program and Variation in Health Systems Performance: What Matters?(Public Library of Science, 2016) Fetene, Netsanet; Linnander, Erika; Fekadu, Binyam; Alemu, Hibret; Omer, Halima; Canavan, Maureen; Smith, Janna; Berman, Peter; Bradley, ElizabethBackground: Primary health care services are fundamental to improving health and health equity, particularly in the context of low and middle-income settings where resources are scarce. During the past decade, Ethiopia undertook an ambitious investment in primary health care known as the Ethiopian Health Extension Program that recorded impressive gains in several health outcomes. Despite this progress, substantial disparities in health outcomes persist across the country. The objective of this study was to understand how variation in the implementation of the primary health care efforts may explain differences in key health outcomes. Methods and Findings: We conducted a qualitative study of higher-performing and lower-performing woredas using site visits and in-depth interviews undertaken in 7 woredas. We classified woredas as higher-performing or lower-performing based on data on 5 indicators. We conducted a total of 94 open-ended interviews; 12–15 from each woreda. The data were analyzed using the constant comparative method of qualitative data analysis. Substantial contrasts were apparent between higher-performing and lower-performing woredas in use of data for problem solving and performance improvement; collaboration and respectful relationships among health extension workers, community members, and health center staff; and coordination between the woreda health office and higher-level regulatory and financing bodies at the zonal and regional levels. We found similarities in what was reported to motivate or demotivate health extension workers and other staff. Additionally, higher-performing and lower-performing woredas shared concerns about hospitals being isolated from health centers and health posts. Participants from both woredas also highlighted a mismatch between the urban health extension program design and the urban-dwelling communities’ expectations for primary health care. Conclusions: Data-informed problem solving, respectful and supportive relationships with the community, and strong support from zonal and regional health bureaus contributed to woreda performance, suggesting avenues for achieving higher performance in primary health care.Publication Countdown to 2015 country case studies: what can analysis of national health financing contribute to understanding MDG 4 and 5 progress?(BioMed Central, 2016) Mann, Carlyn; Ng, Courtney; Akseer, Nadia; Bhutta, Zulfiqar A; Borghi, Josephine; Colbourn, Tim; Hernández-Peña, Patricia; Huicho, Luis; Malik, Muhammad Ashar; Martinez-Alvarez, Melisa; Munthali, Spy; Salehi, Ahmad Shah; Tadesse, Mekonnen; Yassin, Mohammed; Berman, Peter; Rannan-Eliya, Ravi; Brearley, Lara; Friedman, Howard; Ravishankar, Nirmala; Cortes, Rafael; Mtei, GeminiBackground: Countdown to 2015 (Countdown) supported countries to produce case studies that examine how and why progress was made toward the Millennium Development Goals (MDGs) 4 and 5. Analysing how health-financing data explains improvements in RMNCH outcomes was one of the components to the case studies. Methods: This paper presents a descriptive analysis on health financing from six Countdown case studies (Afghanistan, Ethiopia, Malawi, Pakistan, Peru, and Tanzania), supplemented by additional data from global databases and country reports on macroeconomic, health financing, demographic, and RMNCH outcome data as needed. It also examines the effect of other contextual factors presented in the case studies to help interpret health-financing data. Results: Dramatic increases in health funding occurred since 2000, where the MDG agenda encouraged countries and donors to invest more resources on health. Most low-income countries relied on external support to increase health spending, with an average 20–64 % of total health spending from 2000 onwards. Middle-income countries relied more on government and household spending. RMNCH funding also increased since 2000, with an average increase of 119 % (2005–2010) for RMNH expenditures (2005–2010) and 165 % for CH expenditures (2005–2011). Progress was made, especially achieving MDG 4, even with low per capita spending; ranging from US$16 to US$44 per child under 5 years among low-income countries. Improvements in distal factors were noted during the time frame of the analysis, including rapid economic growth in Ethiopia, Peru, and Tanzania and improvements in female literacy as documented in Malawi, which are also likely to have contributed to MDG progress and achievements. Conclusions: Increases in health and RMNCH funding accompanied improvements in outcomes, though low-income countries are still very reliant on external financing, and out-of-pocket comprising a growing share of funds in middle-income settings. Enhancements in tracking RMNCH expenditures across countries are still needed to better understand whether domestic and global health financing initiatives lead to improved outcomes as RMNCH continues to be a priority under the Sustainable Development Goals. Electronic supplementary material The online version of this article (doi:10.1186/s12889-016-3403-4) contains supplementary material, which is available to authorized users.Publication So many, yet few: Human resources for health in India(BioMed Central, 2012) Rao, Krishna D; Bhatnagar, Aarushi; Berman, PeterBackground: In many developing countries, such as India, information on human resources in the health sector is incomplete and unreliable. This prevents effective workforce planning and management. This paper aims to address this deficit by producing a more complete picture of India’s health workforce. Methods: Both the Census of India and nationally representative household surveys collect data on self-reported occupations. A representative sample drawn from the 2001 census was used to estimate key workforce indicators. Nationally representative household survey data and official estimates were used to compare and supplement census results. Results: India faces a substantial overall deficit of health workers; the density of doctors, nurses and midwifes is a quarter of the 2.3/1000 population World Health Organization benchmark. Importantly, a substantial portion of the doctors (37%), particularly in rural areas (63%) appears to be unqualified. The workforce is composed of at least as many doctors as nurses making for an inefficient skill-mix. Women comprise only one-third of the workforce. Most workers are located in urban areas and in the private sector. States with poorer health and service use outcomes have a lower health worker density. Conclusions: Among the important human resources challenges that India faces is increasing the presence of qualified health workers in underserved areas and a more efficient skill mix. An important first step is to ensure the availability of reliable and comprehensive workforce information through live workforce registers.Publication How Ethiopia achieved Millennium Development Goal 4 through multisectoral interventions: a Countdown to 2015 case study(Elsevier Ltd, 2017) Ruducha, Jenny; Mann, Carlyn; Singh, Neha S; Gemebo, Tsegaye D; Tessema, Negussie S; Baschieri, Angela; Friberg, Ingrid; Zerfu, Taddese A; Yassin, Mohammed; Franca, Giovanny A; Berman, PeterSummary Background: 3 years before the 2015 deadline, Ethiopia achieved Millennium Development Goal 4. The under-5 mortality decreased 69%, from 205 deaths per 1000 livebirths in 1990 to 64 deaths per 1000 livebirths in 2013. To understand the underlying factors that contributed to the success in achieving MDG4, Ethiopia was selected as a Countdown to 2015 case study. Methods: We used a set of complementary methods to analyse progress in child health in Ethiopia between 1990 and 2014. We used Demographic Health Surveys to analyse trends in coverage and equity of key reproductive, maternal health, and child health indicators. Standardised tools developed by the Countdown Health Systems and Policies working group were used to understand the timing and content of health and non-health policies. We assessed longitudinal trends in health-system investment through a financial analysis of National Health Accounts, and we used the Lives Saved Tool (LiST) to assess the contribution of interventions towards reducing under-5 mortality. Findings: The annual rate of reduction in under-5 mortality increased from 3·3% in 1990–2005 to 7·8% in 2005–13. The prevalence of stunting decreased from 60% in 2000 to 40% in 2014. Overall levels of coverage of reproductive, maternal health, and child health indicators remained low, with disparities between the lowest and highest wealth quintiles despite improvement in coverage for essential health interventions. Coverage of child immunisation increased the most (21% of children in 2000 vs 80% of children in 2014), followed by coverage of satisfied demand for family planning by women of reproductive age (19% vs 63%). Provision of antenatal care increased from 10% of women in 2000 to 32% of women in 2014, but only 15% of women delivered with a skilled birth attendant by 2014. A large upturn occurred after 2005, bolstered by a rapid increase in health funding that facilitated the accelerated expansion of health infrastructure and workforce through an innovative community-based delivery system. The LiST model could explain almost 50% of the observed reduction in child mortality between 2000 and 2011; and changes in nutritional status were responsible for about 50% of the 469 000 lives saved between 2000 and 2011. These developments occurred within a multisectoral policy platform, integrating child survival and stunting goals within macro-level policies and programmes for reducing poverty and improving agricultural productivity, food security, water supply, and sanitation. Interpretation The reduction of under-5 mortality in Ethiopia was the result of combined activities in health, nutrition, and non-health sectors. However, Ethiopia still has high neonatal and maternal morbidity and mortality from preventable causes and an unfinished agenda in reducing inequalities, improving coverage of effective interventions, and strengthening multisectoral partnerships for further progress. Funding Bill & Melinda Gates Foundation and Government of Canada.